About the Team 

Enterprise Engineering builds integrated, scalable platforms that power Roku’s core Finance, Accounting, Payments, Supply Chain, and HR processes. We use API-first, data-driven, and increasingly AI-enabled designs to automate complex workflows, improve control and compliance, and reduce manual work for our partners.

About the Role 

We’re hiring a Senior Product Manager to lead finance and payouts platforms within Enterprise Engineering, with a strong focus on AI-driven automation. You will own products that support order-to-cash, revenue accounting, financial close, reconciliations, and partner payouts, working across Controllership, FP&A, Tax, Treasury, Payments, Ads Revenue Operations, and Business Systems. 

You’ll define the vision, roadmap, and execution for capabilities that combine robust finance controls with modern engineering and AI - e.g., ML-assisted reconciliations, anomaly detection, intelligent exception routing, and Gen-AI powered tools for finance users. This is a high-impact senior IC role; you will regularly influence senior stakeholders across regions, while partnering closely with engineering leads and architects.

What You’ll Be Doing

• Own strategy & roadmap for finance and payouts platforms, including AI-enabled capabilities (classification, matching, forecasting, GenAI assistants) 
• Deep-dive workflows across revenue, close, reconciliations, payouts and compliance; map pain points and define automation opportunities 
• Write clear, structured product requirements (data contracts, controls, SLAs, UX) that Engineering and Finance can execute on 
• Partner daily with engineering and architecture to make pragmatic design tradeoffs on platforms, integrations, and AI usage 
• Define and track success metrics (automation %, cycle time, error rates, payout and reconciliation accuracy), and iterate based on results 
• Drive change management: clear comms, training, and adoption plans for new platform and AI features 
• Keep a close pulse on team and stakeholder “vibe” – building trust, surfacing risks early, and fostering a low-ego, high-ownership way of working 

We’re Excited If You Have

• 8+ years of product management, including substantial time on internal platforms or business systems 
• Strong experience in Finance/Accounting technology (e.g., ERP, revenue systems, sub-ledger / journal automation, reconciliations, payouts) 
• Demonstrated ability to translate complex accounting and regulatory requirements into scalable product designs 
• Hands-on experience with AI / ML or intelligent automation in business processes (e.g., matching, anomaly detection, NLP/GenAI assistants, rules + ML hybrids) 
• Strong systems thinking: comfortable with APIs, data models, integrations, monitoring and controls 
• Excellent written and verbal communication; able to tell a crisp story to executives, Finance stakeholders, and engineers 
• Proven track record working effectively across time zones and cultures, maintaining a healthy and productive team “vibe” 
• Experience in media, advertising, or digital platforms with complex revenue and payout models 
• Background in Finance/Accounting (e.g., CPA, Chartered Accountant, or MBA with finance emphasis)

#LI-AB3

About the Team 

The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. 

We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.  

Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing. 

In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. 

The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and audience management workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries using Apache Spark for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

API and Platform Development

• Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

• Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least one of the following ScyllaDB and Aerospike (preferred). 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and audience management. (preferred)

• Strong programming skills in Python, Java, and/or Scala. (preferred) 

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred) 

• Expertise in data modeling, schema design, and data visualization tools. Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred) 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

#LI-GL1

About the team

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role 

In this role you will build teams focused on the Ads Auction and Marketplace to optimize yield, gross profit, perform realtime multi-objective optimization across various short and long term objectives, build control and simulation systems, design and run experiments and extend the experimentation framework. 

You will partner closely with other Engineering, Inventory and Product teams to define the vision and strategy for your group and to build and deliver the roadmap.

What you’ll be doing

• Lead the design, implementation, and evolution of real-time ads auction systems powering Roku’s CTV advertising across The Roku Channel and the Roku platform.
• Own and enhance core auction capabilities including ad pod construction, bid evaluation, ranking, pricing, pacing, budget enforcement, and frequency capping.
• Build low-latency, highly reliable distributed services that operate at massive scale, serving billions of ad opportunities with strict latency and uptime requirements.
• Design auction logic that balances viewer experience (ad load, relevance, repetition) with advertiser performance, publisher yield, and platform revenue.
• Develop and optimize SSP-side auction mechanisms, integrating with multiple DSPs, programmatic demand sources, and direct-sold campaigns.
• Partner closely with product managers, data science, ads research teams to translate marketplace and monetization goals into scalable technical solutions.
• Drive yield optimization through auction design, demand shaping, floor strategies, and pricing experiments.
• Lead experimentation using A/B testing, auction simulations, and offline replay frameworks, and make data-driven decisions based on performance metrics and statistical rigor.
• Ensure auction correctness, fairness, explainability, and transparency, while maintaining compliance with privacy, regulatory, and brand-safety requirements.
• Influence the long-term technical roadmap for Roku Ads by proposing architecture improvements, scalability strategies, and performance optimizations.

We are excited if you have

• 5+ years of experience building large-scale distributed systems
• 5+ years working with cloud-based platforms and infrastructure
• Deep experience in building microservices using Java for container platforms such as Docker or Kubernetes
• Solid understanding of databases SQL and NoSQL
• Hands-on Experience working with AWS, GCP or similar cloud services
• Experience with a breadth of protocols and data formats such as REST, WebSockets, HTTPS, JSON, and Protobuf
• Demonstrated ability to drive timely consensus in design with other senior team members
• Bachelors or Master's degree in Computer Science, Engineering, or equivalent

#LI-MS3

About the team

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role 

In this role you will build teams focused on the Ads Auction and Marketplace to optimize yield, gross profit, perform realtime multi-objective optimization across various short and long term objectives, build control and simulation systems, design and run experiments and extend the experimentation framework. 

You will partner closely with other Engineering, Inventory and Product teams to define the vision and strategy for your group and to build and deliver the roadmap.

What you’ll be doing

• Lead the design, implementation, and evolution of real-time ads auction systems powering Roku’s CTV advertising across The Roku Channel and the Roku platform.
• Own and enhance core auction capabilities including ad pod construction, bid evaluation, ranking, pricing, pacing, budget enforcement, and frequency capping.
• Build low-latency, highly reliable distributed services that operate at massive scale, serving billions of ad opportunities with strict latency and uptime requirements.
• Design auction logic that balances viewer experience (ad load, relevance, repetition) with advertiser performance, publisher yield, and platform revenue.
• Develop and optimize SSP-side auction mechanisms, integrating with multiple DSPs, programmatic demand sources, and direct-sold campaigns.
• Partner closely with product managers, data science, ads research teams to translate marketplace and monetization goals into scalable technical solutions.
• Drive yield optimization through auction design, demand shaping, floor strategies, and pricing experiments.
• Lead experimentation using A/B testing, auction simulations, and offline replay frameworks, and make data-driven decisions based on performance metrics and statistical rigor.
• Ensure auction correctness, fairness, explainability, and transparency, while maintaining compliance with privacy, regulatory, and brand-safety requirements.
• Influence the long-term technical roadmap for Roku Ads by proposing architecture improvements, scalability strategies, and performance optimizations.

We are excited if you have

• 5+ years of experience building large-scale distributed systems
• 5+ years working with cloud-based platforms and infrastructure
• Deep experience in building microservices using Java for container platforms such as Docker or Kubernetes
• Solid understanding of databases SQL and NoSQL
• Hands-on Experience working with AWS, GCP or similar cloud services
• Experience with a breadth of protocols and data formats such as REST, WebSockets, HTTPS, JSON, and Protobuf
• Demonstrated ability to drive timely consensus in design with other senior team members
• Bachelors or Master's degree in Computer Science, Engineering, or equivalent

#LI-MS3

About the Team

The Advanced Development team at Roku pushes beyond today’s product lines to invent the next generation of intelligent and generative media systems.
We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices.

This is a rare environment — a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps.
Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision — people who challenge convention, embrace ambiguity, and build what’s never been built before. It’s a collaborative, low-ego, ownership-driven culture built on trust and curiosity.

We’re seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision — someone who thrives where research meets production.

About the Role

As a Senior Applied Machine Learning Engineer, you’ll help design, build, and deploy the systems that make media smarter.
You’ll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence.

You’ll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment — and seeing your work directly influence how audiences experience Roku’s content and advertising ecosystem.

What You’ll Be Doing

• Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production

• Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations

• Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders

• Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality

• Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising

• Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services

• Integrating services from other teams around the company, while also providing reusable ML services to others

• Evaluating and providing feedback on new platform technologies provided by internal teams

• Working with QA teams to address bugs and contribute to automation and quality assurance

We’re Excited If You Have

• A Master’s degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field

• Strong background developing applied machine learning systems using PyTorch or TensorFlow

• Expertise in image processing, computer vision, or natural language processing

• Experience using AWS, GCP, or Azure for storing data, training, and serving models

• Proven ability to evaluate models and communicate insights effectively

• Experience building APIs with frameworks such as GraphQL or REST

• Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow

• Hands-on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools

#LI-PA1

About the team

At Roku, the Device Monetization and Themed Experiences (DMTE) team, a part of the Advertising organization, is where the magic behind the scenes happens. We’re the engineers who build the high-performance graphics and UI foundations that power the FRAME engine — the core technology enabling Roku’s smooth, responsive, and visually rich experiences on millions of devices worldwide. Our work lives in the middleware and UI layers, and its impact is felt every time a user navigates a menu, enjoys an animated ad, or is wowed by the bespoke experience built to market the latest TV show or Movies. We thrive on solving the toughest technical challenges — from optimizing UI rendering to fine-tuning memory usage — using BrightScript (or JavaScript-like) to deliver rock-solid, high-performance solutions. We work in a collaborative, high-trust environment where great ideas can come from anywhere, partnering closely with firmware, UI, and product teams to ensure our platform is lightning fast, reliable, and ready for the next generation of streaming innovation. If you love building the invisible foundations that make great user experiences possible, this is the team for you.

About the role

As a Senior Software Engineer in the DMTE team, you’ll be at the heart of Roku’s platform innovation — designing, implementing, and optimizing BrightScript (or JavaScript-like) systems for graphics rendering and the FRAME engine. You’ll take on complex, performance-critical challenges that demand both creativity and precision, ensuring our devices deliver buttery-smooth visuals and instant responsiveness at scale. You’ll have the opportunity to shape core architecture, work across the stack with hardware, firmware, and application teams, and see your work directly impact tens of millions of users. This is a role for engineers who love deep technical problem-solving, care about performance down to the last millisecond, and want to work on technology that quietly powers an entire ecosystem. If you’re ready to push boundaries, mentor others, and help define the future of streaming, we’d love to hear from you.

What you'll be doing

• Build scalable UI features optimized for millions of users
• Lead technical investigations and architect solutions for complex middleware and UI challenges
• Integrate AI/ML capabilities and leverage generative AI tools to accelerate development
• Collaborate with cross-functional teams on global platform features
• Develop engineering tools and mentor junior developers
• Stay current with AI trends and emerging technologies

We're excited if you have

• 5+ years software engineering experience with UI development expertise
• Advanced BrightScript (or JavaScript-like) skills plus proficiency in Python
• Strong root cause analysis and technical communication abilities
• Knowledge of AI applications and experience with generative AI tools
• Proactive mindset with passion for continuous learning and fast iteration

#LI-NM1

About the team

At Roku, the Device Monetization and Themed Experiences (DMTE) team, a part of the Advertising organization, is where the magic behind the scenes happens. We’re the engineers who build the high-performance graphics and UI foundations that power the FRAME engine — the core technology enabling Roku’s smooth, responsive, and visually rich experiences on millions of devices worldwide. Our work lives in the middleware and UI layers, and its impact is felt every time a user navigates a menu, enjoys an animated ad, or is wowed by the bespoke experience built to market the latest TV show or Movies. We thrive on solving the toughest technical challenges — from optimizing UI rendering to fine-tuning memory usage — using BrightScript (or JavaScript-like) to deliver rock-solid, high-performance solutions. We work in a collaborative, high-trust environment where great ideas can come from anywhere, partnering closely with firmware, UI, and product teams to ensure our platform is lightning fast, reliable, and ready for the next generation of streaming innovation. If you love building the invisible foundations that make great user experiences possible, this is the team for you.

About the role

As a Senior Software Engineer in the DMTE team, you’ll be at the heart of Roku’s platform innovation — designing, implementing, and optimizing BrightScript (or JavaScript-like) systems for graphics rendering and the FRAME engine. You’ll take on complex, performance-critical challenges that demand both creativity and precision, ensuring our devices deliver buttery-smooth visuals and instant responsiveness at scale. You’ll have the opportunity to shape core architecture, work across the stack with hardware, firmware, and application teams, and see your work directly impact tens of millions of users. This is a role for engineers who love deep technical problem-solving, care about performance down to the last millisecond, and want to work on technology that quietly powers an entire ecosystem. If you’re ready to push boundaries, mentor others, and help define the future of streaming, we’d love to hear from you.

What you'll be doing

• Build scalable UI features optimized for millions of users
• Lead technical investigations and architect solutions for complex middleware and UI challenges
• Integrate AI/ML capabilities and leverage generative AI tools to accelerate development
• Collaborate with cross-functional teams on global platform features
• Develop engineering tools and mentor junior developers
• Stay current with AI trends and emerging technologies

We're excited if you have

• 5+ years software engineering experience with UI development expertise
• C++ experience in an embedded environment
• Advanced BrightScript (or JavaScript-like) skills plus proficiency in Python
• Strong root cause analysis and technical communication abilities
• Knowledge of AI applications and experience with generative AI tools
• Proactive mindset with passion for continuous learning and fast iteration

#LI-NM1

Your Impact at LILA

As a Machine Learning Scientist focused on Scientific Reasoning, you will help pioneer the next generation of AI systems capable of reasoning like a scientist. You’ll design novel frameworks that push the boundaries of LLM-based reasoning methods — while also implementing scalable frameworks that integrate with Lila’s platforms. This role bridges deep theoretical thinking with practical ML engineering, enabling breakthroughs in how scientific hypotheses are generated, tested, deployed and optimized.

What You'll Be Building

• Design and formalize frameworks for scientific reasoning with LLMs, including structured prompting, reasoning chains, and test-time compute.
• Explore and implement methods for in-context learning, self-reflection, and adaptive reasoning in scientific discovery workflows.
• Build scalable model prototypes that can be deployed to solve frontier scientific problems.
• Collaborate with scientists and engineers to encode domain knowledge into reasoning systems that integrate symbolic and statistical approaches.

What You’ll Need to Succeed

• PhD (preferred) or equivalent research/industry experience in Computer Science, Machine Learning, AI, Engineering, Materials Science or related fields.
• Strong programming skills in Python with deep expertise in LLM frameworks (PyTorch, HuggingFace Transformers, LangChain, LlamaIndex, and related toolkits).
• Expertise in LLM reasoning methods: in-context learning, test-time compute, chain-of-thought, or tool-augmented reasoning.
• Ability to balance theoretical research with practical ML engineering to deliver scalable solutions.

Bonus Points For

• Research experience in causal reasoning, symbolic AI, or probabilistic programming.
• Contributions to open-source LLM reasoning frameworks.
• Familiarity with scientific discovery pipelines in chemistry, biology, or materials science.
• Experience with multimodal reasoning (e.g., combining text, image, and experimental data).
• Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, ACL).

What You Will Contribute To Altos

An exciting opportunity is available for a Scientist II to join the Larrieu group at Altos Labs, Cambridge Institute of Science (Cambridge, UK). At Altos, the Larrieu lab is exploring both fundamental questions and translational opportunities. We are seeking a very highly motivated, versatile, creative, and collaborative individual, who is passionate and dedicated about employing their expertise to unravel the deep biology of cell health and resilience. This includes the elucidation of the mechanism of action of specific interventions that can reverse, halt or mitigate the effects of ageing on cell health. 

Responsibilities

• Elucidate processes that contribute to the age-related erosion of cell/tissue resilience.
• Engage in ground-breaking and innovative science and in Altos scientific activities.
• Develop project-specific experimental strategies, techniques, and procedures including new assays and pipelines to support translational projects.
• Lead, design and execute in vitro and in vivo experiments for identification and validation of targets with therapeutic potential
• Develop and implement biochemical and cellular assays to support screening and characterization of potential candidate therapies
• Collaborate widely across Altos to multiply efforts, gain insight into the centrality of the nuclear envelope in ageing and identify potential new therapeutic avenues          
• Collaborate with multidisciplinary teams including chemists, pharmacologists, and bioinformaticians to advance drug discovery projects.
• Present data to a variety of audiences including senior executives through entry-level employees.

Who You Are

Minimum Qualifications

• PhD in life sciences with 3-5 years of relevant postdoc/industry experience
• Extensive experience in mammalian cell culture (including primary cells).
• Strong background in molecular and cell biology with experience in assay development and validation, to support pre-clinical studies.
• Experience in small rodent handling, with an ability to independently design and coordinate the execution of complex in vivo studies, including drug administration, tissue harvest and processing.
• Strong sense of collective ownership of projects within the group and Altos.
• Critical, visionary, and creative thinking with an ability to formulate scientific questions, design strategies, and implement plans effectively.
• Strong organizational skills to manage multiple tasks simultaneously, prioritize workloads, and meet deadlines.
• High level of rigor and precision in experimental procedures, data recording, and documentation.
• Problem-solving skills to identify potential issues, test, and develop innovative solutions.
• Excellent writing and communication skills
• Ability to maintain cooperative working relationships with a broad range of people, including staff colleagues, lab members and the community

Preferred Qualifications 

• Understanding of in vivo delivery systems such as AAV, LNP, lentivirus etc.
• Biochemistry skills, including biochemical and enzymatic assay development
• Some proficiency in R and Python to support data analysis
• Prior industry experience

The salary range for Cambridge, UK:

• Scientist II, Biological Sciences: £61,400 - £80,800

Exact compensation may vary based on skills, experience, and location.

#LI-NN1

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a researcher at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. As such, we’re looking for candidates who are keen scientists and engineers, with the theoretical and practical skills needed for impactful AI research.

We are looking for researchers with experience of AI in low-power, edge and embodied scenarios such as robotics, autonomous driving and augmented/virtual reality. We are interested in the training and deployment of multimodal AI models in these contexts, covering areas such as world models, real-time computer vision, generating and reasoning over audio/video streams.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.

Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!

Responsibilities and Duties

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present your work to AI conferences and workshops.
• Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.

About you:

Essential:

• Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering).
• Experience in embodied AI, world models or robotics.
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
• Capable of designing, executing and reporting from ML experiments.
• Mathematics skills to support the above: calculus, probability theory and linear algebra.
• Experience submitting papers to international scientific conferences or workshops.

Desirable:

• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution.
• Conference or workshop submissions in the fields of embodied AI, world models, or robotics.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

Warning: Fraudulent Job Adverts Beware of fraudulent activities claiming to represent Insurify. We are not associated with any entities soliciting personal information or payment. The safety of our job seekers is a top priority, and we actively work to prevent such incidents. Insurify will never request sensitive information or payment during the hiring process. Be cautious of text-only interviews, interviews conducted through Microsoft Teams, or suspicious offer letters. 

Why us? 

Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.

Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.

Join us if you like

• $1.3 Trillion market opportunity
• MIT alumni founders
• Female-led startup
• $130M total funding
• Strong leadership team with experience from many successful startups around the world

We’re looking for a Senior Marketing Analyst to manage and scale Insurify’s paid social program, driving measurable performance, and incremental growth.

This role sits at the intersection of Brand and Performance Marketing, and Analytics, owning the day-to-day execution, measurement, and optimization of Insurify’s paid social channels. You’ll serve as the internal subject matter expert for paid social, ensuring campaigns are thoughtfully executed, rigorously measured, and continuously improved through data-driven insights.

You’ll play a critical role in translating complex data into clear recommendations, connecting performance to business outcomes, and expanding Insurify’s impact across social channels.

This is a hybrid position that requires candidates to be able to come into our Cambridge, MA office.

How you will make an impact

• Analytics & Insights: Analyze business and campaign-level data to uncover meaningful insights, diagnose performance trends, and recommend strategic initiatives that improve customer engagement and drive incremental value
• Measurement & Reporting: Own and maintain core performance dashboards, conducting deep-dive analyses to interpret inconsistent trends, identify anomalies, and synthesize findings into actionable recommendations
• Paid Social Execution & Ownership: Plan, launch, and manage paid social campaigns across key platforms, ensuring accurate tracking, strong execution, and ongoing optimization
• Performance Monitoring & Optimization: Monitor daily campaign performance, audience targeting, and quality signals to ensure campaigns are meeting performance and operational standards
• Channel Expansion & Testing: Identify, explore, and lead testing across new and emerging mid-funnel social and digital channels to expand reach and improve efficiency
• Subject Matter Expertise & Collaboration: Act as the internal SME for paid social platforms, partnering closely with cross-functional teams to drive continuous improvement

Who you are

• 3-5 years of professional experience in marketing analytics, performance marketing, or a related role, with hands-on exposure to paid social advertising
• Strong analytical skill set with experience translating data into insights that influence marketing and business decisions
• Proficient in Meta Ads Manager and Google Analytics, with a solid understanding of campaign setup, tracking, and optimization
• Advanced SQL skills and proficiency in Python or R for statistical analysis, experimentation, and modeling
• Experience building and maintaining dashboards and working with data visualization tools to communicate performance clearly
• Detail-oriented, curious, and comfortable working cross-functionally in a fast-paced environment

Benefits

• Competitive compensation
• Generous stock options
• Health, Dental Coverages
• 401K plan with match
• Unlimited PTO
• Generous company holiday calendar
• Learning & Development Stipends
• Paid Family Leave
• Social impact volunteer time 
• Catered lunches in the office

Insurify is committed to offering a fair, competitive, and transparent compensation program that supports our mission to attract, retain, and motivate top talent. Our compensation philosophy is guided by several factors including a candidate’s relevant experience, education/training, job-related skills, and location.

In addition to the base salary our total compensation package includes health coverage, retirement contributions, and additional wellbeing benefits. Some positions may be eligible for company equity.

Below is the base compensation range for US locations:

$110,000-$130,000

Position Overview

We are seeking a detail-oriented Director, Compliance to join Iterative Health's growing team in New York, NY or Cambridge, MA. This role will be instrumental in leading the strategic development of compliance programs to ensure our clinical trial optimization solutions meet all regulatory requirements across healthcare, clinical trials, and data privacy domains. The ideal candidate will have deep expertise in healthcare compliance frameworks and the ability to operationalize complex regulatory requirements in a fast-paced health tech environment.

Key Responsibilities

Regulatory Compliance & Risk Management

• Experienced with the compliance aspects of clinical trial & clinical research
• Maintain comprehensive compliance with GDPR, HIPAA, and other applicable data privacy regulations
• Lead SOC 2 Type II audit preparation and ongoing compliance, including controls documentation and evidence collection
• Develop and implement compliance policies and procedures specific to clinical trial technologies and healthcare AI solutions
• Ensure adherence to Anti-Kickback Statute, Stark Law, and PhRMA Code requirements in all business relationships
• Monitor evolving AI regulations and their impact on clinical trial optimization platforms

Quality Management & Documentation

• Oversee Quality Management System (QMS) in partnership with other team members, for maintenance and contractual compliance 
• Establish and maintain comprehensive record retention policies across clinical, regulatory, and business functions
• Manage document control processes for clinical protocols, compliance documentation, and regulatory correspondence
• Coordinate with clinical operations team to ensure GCP compliance in trial management and data collection

Contract & Vendor Compliance

• Review and negotiate compliance terms in customer agreements, vendor contracts, and clinical trial agreements
• Conduct vendor risk assessments and ongoing compliance monitoring for third-party service providers
• Ensure contract compliance with healthcare customer requirements, including BAAs and data processing agreements
• Support commercial team with compliance aspects of customer onboarding and due diligence processes

Training & Cross-Functional Support

• Develop and deliver compliance training programs for employees across all functions
• Serve as primary compliance liaison with external auditors, regulators, and certification bodies
• Collaborate with legal, clinical, and product teams on regulatory strategy and risk mitigation
• Maintain compliance calendar and ensure timely completion of regulatory filings and renewals

Required Qualifications

Education & Experience

• Bachelor’s degree in Life Sciences, Business, or a related field plus 8+ years of compliance experience in healthcare, biotech, or clinical research organizations; advanced degree preferred
• OR Juris Doctor (JD) or other advanced degree plus 5+ years of compliance experience in healthcare, biotech, or clinical research organizations
• Direct experience with clinical trial regulations and GCP requirements
• Proven track record managing compliance programs in regulated industries

Technical Expertise

• Employment law and HR compliance expertise, including workplace privacy, salary transparency, employee data protection, and regulatory training requirements
• Corporate governance and general business compliance including anti-corruption, export controls, and corporate record-keeping requirements
• Privacy program management across all business functions, including vendor privacy assessments and cross-border data transfer compliance
• Financial compliance awareness including regulatory reporting requirements
• Deep knowledge of GDPR and HIPAA requirements and implementation
• Hands-on experience with SOC 2 audits and information security compliance frameworks
• Familiarity with clinical research regulations (GCP, ICH guidelines, 21 CFR Part 11)
• Understanding of AI/ML regulatory landscape in healthcare and clinical trials

Core Competencies

• Strong analytical and problem-solving skills with ability to translate complex regulations into actionable policies
• Excellent written and verbal communication skills for regulatory correspondence and training delivery
• Project management experience with ability to manage multiple compliance initiatives simultaneously
• Detail-oriented approach with strong documentation and process improvement capabilities

Preferred Qualifications

• Professional certifications (CIPP, CISA, CCEP, CHRC, or similar compliance credentials)
• Experience with international regulations (EU Clinical Trials Regulation, other global markets)
• Background in clinical research or pharmaceutical compliance
• Familiarity with AI ethics and algorithmic bias considerations in healthcare
• Experience with healthcare technology or SaaS compliance programs

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower-level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.

Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!

Responsibilities and Duties

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present your work to AI conferences and workshops.
• Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports.
• Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.

About you:

Essential:

•  Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry).
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
• Capable of designing, executing and reporting from ML experiments.
• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution

Desirable:

• Mathematics skills to support the above: calculus, probability theory and linear algebra.
• Experience submitting papers to international scientific conferences or workshops.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About us 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a Graduate Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. This role is ideal for someone who loves working hands-on with models, has a strong foundation in ML fundamentals, and wants to push the boundaries of AI performance in real-world systems. 

The Team

The Applied AI team’s role is to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for different modalities and applications. 

Responsibilities and Duties

• Implement state-of-the-art machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. 
• Evaluate new software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. 
• Benchmark models and key model components to identify performance bottlenecks and improve model efficiency. 
• Design and conduct experiments on novel AI methods, analyse and report results clearly. 
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware. 
• Stay current with AI research and actively engage with the broader AI and open-source community. 

Candidate Profile 

Essential:

• Bachelor’s/Master's degree in Machine Learning, Computer Science, Maths, Data Science, or related field. 
• Proficiency in deep learning frameworks such as PyTorch/JAX and strong software development skills. 
• Solid understanding of deep learning fundamentals — architectures, optimisation, evaluation, and scaling. 
• Capable of designing, executing and reporting from ML experiments. 
• Comfortable working in a fast-moving, occasionally ambiguous environment. 
• Enjoy cross-functional work collaborating with other teams. 

Desirable:

Experience in one or more of: 

• Development of deep learning models including large generative models for language, vision and other modalities; 
• Low-precision/efficient compute; 
• Distributed training of large-scale ML models. 
• Experience writing high performance C++/Triton/CUDA kernels. 
• Contributions to open-source projects or published research. 
• Familiarity with cloud platforms and ML infrastructure. 
• Enthusiasm for presenting, publishing, or engaging in the AI community. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

About Graphcore

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

The Role:

We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the SoC Validation Lead, you will be responsible for enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment.

You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams.

Responsibilities:

• Define and lead post-silicon validation strategy
  Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature robustness, and at-scale system reliability.
• Drive cross-domain debug and issue resolution
  Lead investigation and resolution of complex issues spanning silicon, firmware, operating systems, and platform interactions. Ensure that fixes are effective and sustainable.
• Promote collaboration and shared understanding
  Work closely with design, software, and validation teams to align on quality objectives and debug priorities. Use data-driven insights and clear communication to maintain focus and alignment across teams.
• Advance automation and scalable validation
  Encourage the use of emulation, prototyping, and large-scale validation infrastructure to improve coverage and reduce time to debug.
• Support continuous improvement
  Foster a culture that values learning, transparency, and improvement in validation methods, automation, and analysis.
• Engage with leadership and customers
  Provide clear and concise updates on validation progress, risks, and quality indicators to executive teams and key partners. Contribute to product readiness assessments and roadmap decisions.

About you:

• A systems thinker comfortable working across hardware, software, and integration boundaries.
• A collaborative leader who builds trust and alignment across diverse teams.
• Skilled in technical problem solving and debugging complex post-silicon issues.
• A clear communicator who can simplify complexity and support sound decision-making in fast-paced environments.
• Committed to developing people and promoting an inclusive, high-performing team culture.

Qualifications:

• Bachelor’s degree in Electronic Engineering or equivalent; Master’s preferred.
• 20+ years in silicon, system, or platform validation, including 10+ years in technical leadership.
• Proven experience leading post-silicon validation and bring-up for complex SoCs (AI, GPU, or CPU).
• Strong understanding of SoC architecture, coherency protocols, power management, and interconnects.
• Expertise in debug tools, DFT infrastructure, and validation automation frameworks.
• Proficient in C/C++, Python, and Linux-based environments; experience with large-scale validation clusters is an advantage.
• Excellent communication, collaboration, and stakeholder management skills.

About Graphcore

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

The Person 

Graphcore’s experienced, skilled, and motivated engineering team is heavily involved in shaping the future of AI. A successful candidate will exhibit exceptional knowledge in Design for Testability (DFT) and will have a strong technical background and experience in DFT methodologies, complemented by a robust, self-motivated work ethic. The ideal candidate should also have a focus on quality and demonstrate a good understanding of the importance of production test on the success of a product. Some hands-on experience in one or more of the following areas is essential: RTL design, simulations and debugging, synthesis, STA.  

The Role: 

We are expanding and looking for an experienced DFT engineers to join the Silicon team. As a part of our team, you will have the opportunity to work on next-generation AI designs targeted for data centers applications. 

Responsibilities: 

• Keep up with the latest industry trends in DFT domain and help adopt the latest DFT techniques and methodologies 

• Work closely with design, verification, physical design and product engineering teams to integrate DFT requirements into the overall design process 

• Define and implement DFT architecture and features for next-generation AI designs and support their verification effort 

• Develop efficient DFT flows and methodology compatible with silicon design flows 

• Work with 3rd party IPs to integrate the provided design into the DFT infrastructure 

• Generate structural test vectors, analyze and improve test coverage 

• Work with the product and test engineering teams to ensure successful silicon bring-up and help identify any silicon failures to enhance yield learning and improvement 

Requirements: 

• Very good understanding of DFT components like JTAG (IEEE 1149.x), IJTAG (IEEE P1687), Core Test (IEEE P1500), SSN (Streaming Scan Network), Test Compression, OCC etc. 

• Experience on developing DFT specifications and driving the implementation of the DFT features 

• Experience in MBIST and BISR implementation and verification is desired 

• Solid understanding of design verification methodologies for validating the DFT features using simulation in pre-silicon designs 

• Exposure to STA constraints development and analysis for DFT modes and SDF simulations would be a plus 

• Experience in Scan based testing and industry standard ATPG tools 

• Knowledge of ATPG pattern verification and gate-level simulation flows using Synopsys VCS and Verdi or other EDA tools 

• Very good knowledge of Digital Integrated Circuits and Systems 

• Hands-on experience with Verilog RTL coding and familiarity with System Verilog   

• Strong scripting and debugging skills using programming languages like Python, TCL, Perl, Shell etc. 

• Exposure to silicon bring-up, post-silicon testing and tester pattern debugging 

• Strong problem-solving skills across various levels of design hierarchies 

• Great team working and communication skills 

Academic Credentials 

• Bachelors or Masters or PhD in Computer engineering/Electrical engineering/Electronics Engineering

Benefits: 

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments  

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know. 

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary 

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. 

Responsibilities and Duties 

• Develop, own, and maintain tools and services to support AI research and engineering teams 

• Deploy and maintain services with Kubernetes and Docker 

• Manage our Cloud Infrastructure using tools such as Terraform 

Candidate Profile  

Essential: 

• Knowledge of Python 

• Familiarity with cloud services (e.g. AWS) 

• Experience managing or developing in Linux environments 

• Understanding of CI/CD principles 

• Experience using Kubernetes (k8s) 
  
• Experience of one of the following:
  
  
• maintaining machine learning applications.
  
  
• deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot).
  
  
• managing ML accelerator hardware (e.g. DCGM).

Desirable 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

• Experience with GitHub Actions 

• Experience with modern observability tooling (e.g. Prometheus) 

• Experience with Grafana 

• Knowledge of Go/Java/C++ (or similar language)

  Benefits

  In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

  Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About us

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a research intern at Graphcore, you will advance AI research and investigate new ideas that push the limits on important AI/ML problems. Specialised hardware has driven progress in AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to this exciting field. We’re looking for candidates who are keen scientists and engineers, with the theoretical and practical skills needed for impactful AI research.

During your internship, you’ll investigate a research question that relates to machine learning or accelerated computation. Practically, this means designing experiments, implementing models and algorithms, exploring data and presenting results, with the aim to present work publicly to the wider research community. You will be largely self-directed in your research activity, with freedom to pursue the most promising approach, and with the benefit of appropriate mentoring and guidance.

Our team is interested in numerous topics across the field, including (but not limited to) efficient training and inference, improved model capabilities in the areas of factuality and reasoning, image and video generation, world models and molecule generation for life science applications.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

Candidate profile

We’re looking for technically-minded, highly-motivated and adaptable problem-solvers who can thrive in our collaborative team.

Essential

• A PhD student working in the field of Machine Learning and Artificial Intelligence, or be pursuing a Masters degree in a relevant field with demonstrable research experience (for example, interesting ML publications);
• Able to demonstrate your coding skills (Python, C++), for example through projects or previous work experience, and have experience of algorithm implementation in machine learning frameworks such as PyTorch;
• Passionate about the field of AI, both theory and practice, with a keen interest to continue learning.

We are excited to hear about your research! Please provide a short summary of a recent project with your application (and we’d love to hear about any other relevant work).

Benefits

In addition to a competitive salary, our centrally located offices provide a well-stocked kitchen with healthy food, drinks and snacks and our very own barista (Bristol only for now, but we have great coffee everywhere). We have an active social scene too: cycling, yoga, running, board games, table tennis, football, to name a few.

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.

Job Summary 

We are looking for a Principal Architect to define and drive the architectural vision of the software stack for the Graphcore ML accelerator.

In this role, you will shape the architecture of our software ecosystem and maintain a deep understanding of the product’s hardware and software components, their interfaces, and how they interact.

You are an excellent communicator, and you proactively convey the software architecture.

You bring a pragmatic, trade-off-aware approach to decision-making, fully recognising the impact of architectural choices on product direction and engineering outcomes. 

The Team 

The software architecture team is responsible for defining, maintaining and communicating the overarching architecture of our software stack, from firmware to ML frameworks.

The team works within the wider software organisation, partnering closely with engineering teams who deliver against this architectural vision. 

Responsibilities and Duties

• Define & document the software architecture of the software stack.  
• Work across different software domains to ensure a coherent end too end architecture.
• Clearly communicate the software architecture to engineering teams.
• Ensure teams understand key software architectural components, interfaces, and guiding principles. 
• Continuously maintain the software architecture as the product evolves. Communicate architectural changes proactively to all relevant stakeholders. 
• Stay informed about trends and developments in the ML/software ecosystem.
• Assess the architectural impact of new technologies.
• Be aware of the usability, performance, reliability, maintainability, testability, security and observability constraints on the software architecture. 
• Prototyping and validating architectural concepts through proof-of-concept implementations. 
• Contribute to future and/or related product definitions with a forward-looking mindset, understanding and communicating the impact of future direction on software architecture. 
• Work with the HW and Silicon architects to ensure product the needs of software stack. 
• Ensure the software architecture meets the product requirements.  
• Work closely with engineering, product, leadership, and partners to ensure alignment between business goals and architectural direction. 

Candidate Profile

Essential:

• Expertise in one or more of these technologies; Firmware, Drivers, ML frameworks (PyTorch, Triton, etc), Collectives, HPC, Tooling, C & C++, CPU architectures.
• Technical expertise in the ML accelerator software space.
• Excellent communication skill, both written and verbal. 
• Collaborative mindset and ability to influence. 
• Pragmatic approach to decision making, being very aware of trade-offs and implications. 

Desirable

• Demonstrable experience in a previous architecture role. 

Benefits

• In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

  Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.  

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

Senior: PLN 260,400 - 352,200
Staff: PLN 350,700 - 474,400
Subject to alignment to the responsibilities and duties of the role - we currently have multiple positions available at both Senior and Staff level

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

Applicants for this role should have strong experience working with machine learning systems and frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads.

The ideal candidate is an experienced ML engineer who understands how contemporary models are trained and executed, and who has hands-on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware.

The Team

The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. 

Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. 

Responsibilities and Duties

• Benchmark ML models and frameworks, analysing results to identify regressions, performance bottlenecks, and correctness issues. 
• Work hands-on with industry-standard ML frameworks to validate functionality and performance across different execution environments. 
• Build and maintain automated testing and benchmarking pipelines targeting simulators, emulators, and physical hardware. 
• Collaborate closely with software teams to ensure adequate test coverage for new and existing features. 
• Develop tooling and scripts (primarily in Python) to support testing, benchmarking, and functional reporting. 
• Take ownership over aspects of our testing and infrastructure, owning the roadmap and driving innovation independently.

Candidate Profile

Essential:

• Experience working in Machine Learning or ML-adjacent engineering roles. 
• Strong foundation in core AI and ML concepts (e.g. neural networks, training vs inference, numerical precision, performance trade-offs). 
• Hands-on experience with one or more major ML frameworks such as PyTorch, TensorFlow, JAX, or similar. 
• Strong proficiency in Python for ML workflows, experimentation, and automation. 
• Experience designing, running, and analysing ML benchmarks or experiments. 
• Experience working in Linux environments. 
• Strong analytical and debugging skills, with the ability to reason about model behaviour and system performance. 
• Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. 

Desirable

• Experience with MLOps pipelines, model deployment, or production ML systems. 
• Familiarity with performance analysis, profiling tools, or numerical accuracy validation. 
• Exposure to distributed training or inference systems. 
• Experience with hardware-accelerated ML, compilers, or system-level performance considerations. 
• Familiarity with CI/CD systems used for ML workflows. 
• Experience contributing to open-source ML frameworks or tooling. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence

Job Summary

Applicants for this role should have strong experience designing, developing, and maintaining high-quality software systems. The role focuses on testing and validating a complex machine learning software stack, with particular emphasis on software architecture, automation, and engineering best practices.

The ideal candidate is an experienced software engineer who values code quality, testability, and long-term maintainability, and enjoys building systems that other engineers rely on. This person will be comfortable working across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware

The Team

The ML QA team is composed of highly skilled software engineers with a strong focus on automation, software quality, and data-driven validation. The team works closely with industry-standard machine learning frameworks and models, contributing to upstream open-source projects and collaborating across the wider software organization. 

Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. 

Responsibilities and Duties

• Design, implement, and maintain robust test infrastructure and automation for a complex ML software stack.
• Architect and evolve test frameworks and tooling with a focus on scalability, maintainability, and developer experience.
• Build and maintain CI/CD pipelines targeting simulators, emulators (e.g. QEMU), and physical hardware.
• Create representative ML workloads and gain insights from their execution. (Numerical accuracy, performance analysis and benchmarking).
• Work closely with all Software development teams, supporting a culture of quality, security and maintainability.
• Review code and designs, setting a high bar for software engineering best practices.
• Mentor and support junior engineers, helping raise the overall technical capability of the team.
• Evaluate existing test strategies and infrastructure, identifying gaps and driving improvements aligned with team and organizational goals. 

Candidate Profile

Essential:

• Experience in production-quality software engineering roles.
• Strong software design and architecture skills, with experience working on large or complex systems.
• Strong proficiency in Python, including experience building and maintaining production codebases.
• Solid experience with CI/CD systems and automated testing (preferably GitHub-based workflows).
• Experience working in Linux environments.
• Familiarity with C or C++, with the ability to read, debug, and reason about low-level code when needed.
• Proven ability to mentor junior engineers and influence engineering practices within a team.
• Strong problem-solving skills and a proactive, self-directed approach to work.
• Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. 

Desirable

• Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow
• Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines
• Experience working with hardware simulators or emulators (e.g. QEMU).
• Experience developing for or working with FPGA-based systems.
• Experience with people management or mentoring 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Job Summary

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible.

Responsibilities and Duties

• Develop, own, and maintain tools and services to support the software build and release process
• Deploy and maintain services with Kubernetes and Docker
• Manage our Cloud Infrastructure using tools such as Terraform
• Support the technical development of junior and graduate engineer
• Embody a strong engineering discipline for high reliability and minimal toil 

Candidate Profile 

Essential: 

• Knowledge of Python/Go/C++ (or similar language) 

• Experience deploying services in the cloud (AWS preferred) 

• Deep understanding of Linux environments 

• Native user of CI/CD for production deployments 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

Desirable 

• Experience using Kubernetes (k8s) or OpenStack 

• Experience with GitHub Actions 

• Experience with build tools (e.g. CMake) 
• Experience with modern observability tooling (e.g. Prometheus) 
• Experience with Grafana 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Job Summary  

Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop enjoy first-class support in state-of-the-art machine learning frameworks such as PyTorch and Triton (note: “Triton” here refers to the Triton language/compiler and not the inference framework).  

This role sees you joining our Triton team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.  

In this role you will closely collaborate with other engineers, both within the Triton team as well as other engineering teams. You help the team coordinate and deliver complex, open-ended technical tasks. You are pro-active and an excellent communicator. You will develop deep expertise in the Triton project and will (in time) contribute to the team’s technical direction and processes. You understand the importance of managing code quality and code complexity and balancing this against the need to deliver business outcomes. 

Note that the job title and associated benefits will be tailored to the successful candidate’s level of experience at the job offer stage to one of Software Engineer, Staff Engineer, Senior Staff Engineer, Principal Software Engineer or Senior Principal Software Engineer. Note that as the machine learning software landscape is quite fast moving and as such flexibility is essential – over time you may be asked to work on teams other than Triton. 

The Team 

The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely work with other Graphcore teams as well as leading open-source communities.  

By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware.  

Responsibilities and Duties 

• Designing and implementing new features & maintaining and supporting existing features.
• Developing and maintaining unit tests, component tests and integration tests.
• Optimising the software stack to make it more performant for our users.
• Managing complex technical tasks with cross-team dependencies.
• Managing code quality, code complexity and technical debt.
• Provide technical leadership, contributing the team’s technical direction and processes.
• Contributing to documentation, including user manuals and tutorials.
• Conducting code reviews.
• Resolving regressions, performance issues and software defects.
• Coaching and mentoring other team members.
• Contributing to a collaborative team culture.
• Contribute to continuous improvements to improve ways of working.
• Working with upstream open-source development teams. 

Candidate Profile 

Essential: 

• Demonstrable strong software engineering skills.
• Demonstrable experience of Python/C++ development.
• Demonstrable experience of compiler development. 

Desirable: 

• Experience with MLIR (or more generally: SSA-based IRs) is highly desirable. 
• Demonstrable knowledge of AI/ML.
• Understanding of computing architectures.
• Experience of maintaining and supporting a complex code base.
• Experience in profiling / optimising high performance code.
• Experience of writing ML kernels.
• Experience of using and/or development of ML Frameworks.
• Experience in a computationally intensive engineering field. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a Senior Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. You will work on large scale systems where performance is critical to the success of our projects. Working closely with the Software development and Research teams, you will play a critical role in identifying opportunities to innovate and differentiate Graphcore’s technology. We seek engineers with strong technical skills and an understanding of AI model implementation at scale, eager to make a tangible impact in this rapidly evolving field.

The Team

The Applied AI team’s role is to be proxies for our customers, we need to understand the latest AI models, applications, and software to ensure that Graphcore’s technology works seamlessly with the AI ecosystem and at scale. We build reference applications, contribute to key software libraries e.g. optimising kernels for efficiency on our hardware, and collaborate with the Research team to develop and publish novel ideas in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications.

If you're excited about advancing the next generation of AI models on cutting-edge hardware, we’d love to hear from you!

Responsibilities and Duties

• Implement latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators.
• Test and evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews.
• Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency.
• Design and conduct experiments on novel AI methods, implement them and evaluate results.
• Collaborate with Research, Software, and Product teams to define, build, and test Graphcore’s next generation of AI hardware.
• Engage with AI community and keep in touch with the latest developments in AI.

Candidate Profile

Essential:

• Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field.
• Proficiency in deep learning frameworks like PyTorch/JAX.
• Strong Python or C++ software development skills
• Expertise in deep learning from model training to optimisation and evaluation.
• Experience in distributed training or inference of ML models across 64+ accelerators.
• Capable of designing, executing and reporting from ML experiments.
• Developed deep understanding of performance bottlenecks and how to overcome them.
• Ability to move quickly in a dynamic environment
• Enjoy cross-functional work collaborating with other teams.
• Strong communicator - able to explain complex technical concepts to different audiences.

Desirable:

• Experience in one or more of:
  • MLOps for Kubernetes-based clusters
  • Building production systems with large language models
  • Efficient computing based on low-precision arithmetic.
• Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models.
• Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies.
• Have contributed to open-source projects or published research papers in relevant fields.
• Knowledge of cloud computing platforms.
• Keen to present, publish and deliver talks in the AI community.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

POS-4092

About the team

HubSpot’s Data Hub helps RevOps, marketing, sales, and customer teams turn fragmented data into actionable intelligence. We unify data across channels and tools, improve data quality, and activate it inside HubSpot so teams can run AI-powered demand generation, smarter campaigns and sales motions, agentic automations, trustworthy reporting, all without needing to be data experts.

We’re a product engineering team at the intersection of data engineering, ML, applied AI, and go-to-market, and we care as much about reliability, cost, and scale as we do about time-to-value and usability for marketers and sales reps.

About the role

We’re looking for a Principal Software Engineer to lead the next evolution of Data Hub as the backbone for data-driven demand generation.

In this role, you’ll:

• Own core pieces of our data lake and analytics stack (e.g., Iceberg, Spark, batch and streaming pipelines) that power demand gen, segmentation, and scoring at scale.
• Design and evolve data systems that balance cost, latency, data freshness, and reliability, making explicit tradeoffs using concepts like CAP theorem, efficient partitioning, and storage layout.
• Partner closely with PM, product analytics, and GTM leaders to shape commercially meaningful solutions: better lead scoring, funnel visibility, audience building, and campaign attribution for marketers and sales.
• Help make Data Hub an AI‑agent‑forward platform, where curated, evergreen datasets automatically feed AI agents and reporting surfaces rather than requiring manual stitching or ad-hoc pipelines.

Principal Engineers at HubSpot are expected to be hands-on builders, strong partners to product and design, and multipliers for the broader engineering organization.

Key expectations:

Technical skills & domain expertise

• Data engineering & storage: Deep experience building large‑scale data systems with Apache Spark and modern table formats like Apache Iceberg, including efficient partitioning, clustering, and file layout for both heavy ingestion and low‑latency reads.
• Distributed systems & tradeoffs: Applies distributed systems principles and CAP theorem pragmatically to design fault‑tolerant, horizontally scalable services that balance availability, consistency, latency, and cost, where it matters.
• Business outcomes: Can turn ambiguous business goals into clear data models, contracts, and SLAs across multiple storage and compute layers (e.g., Iceberg, warehouses, logs, CRM stores).

As a Principal Engineer, you will:

• Own platform-scale outcomes:  Influence technical direction across the Data Hub product line and shape the architecture for unified profiles, segmentation, and datasets that other teams can build on.
• Be a high-leverage, hands-on builder: Write code and build systems while leading end-to-end delivery of high-impact, multi-quarter initiatives, setting standards for reliability, observability, testing, and incident response.
• Lead through architecture and influence:  Define reusable patterns for ingestion, transformation, quality, sync, and observability, mentor senior engineers and tech leads.

Software development excellence & AI

• Use AI code agents:  Actively use AI-assisted development tools to speed iteration, reduce toil (e.g., scaffolding, tests, refactors), and improve code quality, while defining best practices with the human‑in‑the‑loop approach.
• Champion incremental, outcome-focused delivery:  Break down big, ambiguous problems into incremental milestones that deliver value early and often, balancing long-term platform bets with clear business impact (ARR, adoption, usage, efficiency).
• Raise the bar on engineering practices:  Model strong habits around documentation, design reviews, testing, and observability, and help establish reliability and data quality standards so downstream AI agents and data activation use cases can trust the data they receive.

If you enjoy working at the intersection of data engineering, ML, applied AI, and commercial outcomes, and you like building platforms that make complex data approachable for non-experts, we’d love to talk.

We are seeking a Deputy Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, data management, decision systems, and mission planning software applications for the US National Security Ecosystem. This is an exceptional opportunity for an engineer with a combination of technical expertise, program leadership experience, and the ability to interface with customers to drive innovation, collaboration, and excellence in a fast-paced, growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multidisciplinary teams developing algorithms, software, cloud, and data management solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance

• Bachelor’s or Master’s or PhD in Computer Science, Software Engineering, Aerospace Engineering, Electrical Engineering, Physics or a related field

• Minimum of 5 years of experience in software development, with a focus on AI/ML, cloud computing, and/or decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have 

We are seeking a Deputy Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, data management, decision systems, and mission planning software applications for the US National Security Ecosystem. This is an exceptional opportunity for an engineer with a combination of technical expertise, program leadership experience, and the ability to interface with customers to drive innovation, collaboration, and excellence in a fast-paced, growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multidisciplinary teams developing algorithms, software, cloud, and data management solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance

• Bachelor’s or Master’s or PhD in Computer Science, Software Engineering, Aerospace Engineering, Electrical Engineering, Physics or a related field

• Minimum of 5 years of experience in software development, with a focus on AI/ML, cloud computing, and/or decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have 

We are seeking a Deputy Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, data management, decision systems, and mission planning software applications for the US National Security Ecosystem. This is an exceptional opportunity for an engineer with a combination of technical expertise, program leadership experience, and the ability to interface with customers to drive innovation, collaboration, and excellence in a fast-paced, growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multidisciplinary teams developing algorithms, software, cloud, and data management solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance

• Bachelor’s or Master’s or PhD in Computer Science, Software Engineering, Aerospace Engineering, Electrical Engineering, Physics or a related field

• Minimum of 5 years of experience in software development, with a focus on AI/ML, cloud computing, and/or decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have 

Job Summary:

We are seeking an experienced and talented Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, decision systems, and mission planning applications. This is an exceptional opportunity for a seasoned engineer to drive innovation, collaboration, and excellence in a fast-paced and growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multi-disciplinary teams developing algorithmic, software, cloud, and data solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance. Active Secret, Top Secret, or TS/SCI is preferred. 

• Master's degree or PhD in Aerospace Engineering, Computer Science, Physics, Electrical Engineering, or a related field

• Minimum of 10 years of experience in R&D, with a focus on AI/ML, software, and decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have

MORSE is seeking an experienced and talented Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, decision systems, and mission planning applications. This is an exceptional opportunity for a seasoned engineer to drive innovation, collaboration, and excellence in a fast-paced and growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multi-disciplinary teams developing algorithmic, software, cloud, and data solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance. Active Secret, Top Secret, or TS/SCI is preferred. 

• Master's degree or PhD in Aerospace Engineering, Computer Science, Physics, Electrical Engineering, or a related field

• Minimum of 10 years of experience in R&D, with a focus on AI/ML, software, and decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have

The Role:

Reporting to the Head of Nuvalent Medical Affairs, the Senior Director of Medical Affairs Operations will serve as a strategic thought partner to the Head of Medical Affairs and the Medical Affairs Leadership Team (MALT). This role provides operational leadership, discipline, and alignment across Medical Affairs, ensuring that objectives, processes, and resources are optimized to deliver impact at scale. The incumbent will drive operational excellence, enable cross-functional collaboration, and oversee field operations, insights, and analytics to support the organization’s growth and transformation.

Responsibilities:

• Strategic Partnership & Leadership
  • Act as a trusted advisor to the Head of Medical Affairs and MALT, shaping operational strategy and execution.
  • Drive strong cross-functional team planning and alignment (e.g. MALT, MALT/CLT, Medical Strategy, and IEGT), ensuring smooth ways of working and operational discipline, with seamless execution of strategic priorities.
• Performance Management and Launch Readiness
  • Lead KPI and objectives planning, tracking, and reporting to ensure accountability and transparency.
  • Develop dashboards and reporting frameworks to provide real-time visibility into Medical Affairs performance, risks, and resource utilization; establish frameworks for measuring impact and continuous improvement.
• Operational Excellence and Continuous Improvement
  • Define and evolve ways of working within Medical Affairs, including process development, capability building, and cross-functional orchestration.
  • Drive continuous process improvement and simplification, including SOP development and refinement to ensure scalability and compliance.
• Financial Stewardship
  • Oversee budget planning, forecasting, and resource allocation to ensure fiscal discipline and strategic investment.
  • Partner with Finance to align operational spend with organizational priorities.
• Risk Management & Executive Communications
  • Identify, assess, and mitigate operational risks, ensuring proactive management and transparent escalation to leadership.
  • Craft and deliver executive communications that synthesize operational performance, risks, and strategic initiatives for senior leadership and board audiences.
• Strategic Initiatives and Capability Building
  • Support and enable key initiatives such as regional expansion, organizational transformation, and business model evolution.
  • Support Medical capability building initiatives, ensuring teams are equipped with the skills, processes, and tools to deliver impact.
• Knowledge & Communication
  • Establish central knowledge management systems to ensure accessibility and transparency of information.
  • Facilitate effective team communication and alignment across Medical Affairs and field teams.
• Field Operations & Analytics
  • Provide oversight of field operations, insights generation, and analytics to inform strategy and decision-making.
  • Ensure robust mechanisms for capturing and translating field intelligence into actionable insights.
• Team Facilitation & Culture
  • Foster a high-performance culture through facilitation, coaching, and team development.
  • Enable collaboration, accountability, and continuous learning across Medical Affairs.

Competencies Include:

• Strategic thinker with operational rigor.
• Collaborative leader who builds trust and alignment across diverse stakeholders.
• Skilled in change management and organizational transformation.
• Adept at balancing strategic priorities with tactical execution.
• Committed to fostering a culture of accountability, transparency, and innovation.

Qualifications:

• Advanced degree in life sciences, healthcare, or related field; MBA or equivalent preferred.
• 10+ years of experience in Medical Affairs, clinical development, or related operational leadership roles.
• Proven track record of leading cross-functional teams and driving operational excellence in complex organizations.
• Strong financial acumen with experience in budget management and forecasting.
• Expertise in KPI development, performance tracking, and analytics.
• Exceptional communication, facilitation, and stakeholder management skills.
• Ability to synthesize complexity into clear, actionable frameworks for executive and board-level audiences.

Additional Information:

Nuvalent is committed to fair and equitable compensation practices, aiming to provide employees with competitive total rewards packages.

The targeted salary range reflects what Nuvalent reasonably and in good faith expects to offer for this position at the time of posting, but the final salary determination may be within or outside this range based on various factors, including, but not limited to, experience, skills, education, and market factors.  The range will be reviewed regularly and is subject to change.

Nuvalent also offers a comprehensive benefit package to support our employees at each stage of their career, financial, health, and well-being journey, including medical, dental, and vision insurance, 401(k) retirement savings plan, generous paid time off (including a summer and winter company shutdown), and much more.

Overview of the role:

As the Product Manager for Software / Applied AI at Lila, you will help build the first truly AI-native system of record for scientific discovery. We are looking for product leaders who can dive deep into a specific domain and own it completely.

Whether your strengths align best with our core software platform or our cutting-edge agentic science offerings, you will be embedded with a dedicated scrum team to solve complex, full-stack challenges. You will sit at the intersection of commercial, engineering, design, and scientific research, building the tools that accelerate the next generation of scientific discovery.

We are hiring for a wide range of function areas, and seniority levels — final title and level will be decided at the offer stage. Priority areas include 1) data, 2) ML / computational tooling, 3) scientific agents, and 4) harness & evals.

Location:

Ability to work from our San Francisco, CA; or Cambridge, MA office 3-5 days per week.

Responsibilities:

Deep Domain Ownership:

We will match your unique product strengths to a specific scrum team, where you will go deep, define the roadmap, and become the absolute subject matter expert for that product area. That said, we operate as one product team and collaborate closely.

Full-Stack Product Execution:

From designing user-facing scientific workflow tools to shaping the underlying data infrastructure that powers our AI models, you will define requirements and guide execution across the entire stack.

The intelligence platform for Science:

Build intuitive, powerful software that scientists actually want to use. You will be responsible for translating incredibly complex scientific workflows into scalable, elegant digital products.

Cross-Functional Orchestration:

Lead the dialogue between our research scientists (who push the boundaries of what's possible) and our engineering teams (who build robust, scalable systems), ensuring we ship high-impact, cohesive products.

Qualifications:

Core Product Experience:

Product Management experience building complex B2B SaaS, data-heavy platforms, or highly technical software products.

The Full-Stack Mindset:

You are comfortable navigating both the user experience of a complex workflow and the technical realities of the backend architecture required to support it.

Bias for Action in Complexity:

You thrive in ambiguous environments. You can take a vague, highly technical customer request and turn it into a clear, prioritized roadmap for your engineering team in days, not weeks.

Operational Rigor:

You care deeply about the "how" — how the product is built, how it performs, and how it directly impacts the end user's daily work.

Preferred Skills:

Scientific Background:

A degree or deep practical experience in the hard sciences (materials science, chemistry, biology, etc.).

Building for Scientists:

Direct experience building software, tools, or platforms specifically designed for scientific researchers or lab environments.

Startup DNA:

Experience as an early-stage product manager who knows how to move fast, iterate, and build from 0 to 1.

About the Role:

Stylus Medicine is seeking an intellectually curious and creative Director, who will serve as a key scientific leader on our Platform team, owning the computational strategy that drives large serine recombinase (LSR) engineering and clinical translation. This role sits at the intersection of protein engineering, multi-omics analysis, and AI/ML-driven design and will lead a high-impact team spanning NGS and computational biology while driving the analytical infrastructure and predictive capabilities needed to advance our proprietary LSR platform from discovery through translation.

Key Responsibilities & Accountabilities:

• Lead and develop a team of NGS and computational biology scientists, setting technical direction, mentoring team members, and fostering a collaborative, high-performance culture
• Lead computational efforts to design and optimize LSRs and related genome engineering proteins for genetic medicine applications, integrating sequence-function, structure-function, and protein-DNA interaction datasets to guide engineering campaigns
• Lead analysis of NGS data from LSR experiments — including amplicon sequencing, WGS, hybrid capture, and long-read sequencing — to quantify on-target efficiency and genome-wide specificity
• Build, apply, and critically evaluate predictive and generative models for protein variant and library design — including rigorous benchmarking of AI/ML approaches such as protein language models, structure prediction tools, and generative design frameworks
• Integrate proprietary screening data with public evolutionary and structural datasets to prioritize variants and identify engineering levers for activity, specificity, and developability
• Oversee the design, implementation, and deployment of robust, scalable computational pipelines for multi-omics data analysis, ensuring accuracy, reproducibility, and maintainability
• Provide scientific input into platform strategy, translating computational insights into actionable directions for the broader team
• Partner closely with the Screening, Genome Engineering, and NGS teams to design experiments, interpret complex datasets, and refine engineering hypotheses
• Contribute to patent filings, regulatory submissions, and publications

Qualifications & Skills:

• PhD in Computational Biology, Bioinformatics, Protein Engineering, Machine Learning or a related quantitative discipline, with 10+ years or Master’s with 14+ years of industry experience
• Demonstrated research in protein modeling, protein design, or computational biology through publications, preprints, or equivalent industry contributions
• Hands-on experience applying AI/ML methods to protein variant and library design, including protein language models, structure prediction, and generative design approaches (e.g., AlphaFold2/3, RFdiffusion, ProteinMPNN, ESM)
• Expert-level proficiency in Python and/or R, with deep familiarity with data science libraries (e.g., Pandas, NumPy, Bioconductor, SciPy, PyTorch, or JAX)
• Experience with cloud computing platforms and workflow management systems
• Excellent communication and documentation skills, with a track record of effective collaboration in fast-paced, interdisciplinary environments

Pay Range; $245,000 - $265,000

Orthodox Rabbi

Harvard Hillel

Role Overview

Harvard Hillel is looking for a dynamic Orthodox Rabbi to foster a warm, inspiring Jewish community for students, faculty, and staff. The ideal candidate makes Jewish tradition exciting and meaningful through teaching, mentorship, and pastoral care, and is deeply aligned with the religious values, practices, and spiritual aspirations of our students. In addition to high level guidance, the Orthodox Rabbi engages with students on a day to day basis, building relationships and supporting their Jewish journeys. Within Harvard’s pluralistic Jewish community, the Orthodox Rabbi is a committed and inspiring exemplar of Torah and mitzvot, drawing on the depth and wisdom of Judaism to enrich the entire Jewish community and broader campus life. He collaborates closely with Hillel staff and student leaders to plan, develop, and execute programs that bring the community together while supporting student leaders in taking on increasing responsibility for their community, their own experiences and spiritual growth, and that of their peers.

This role is 10 months/year with June and July off.

What You’ll Do

• Advise the Orthodox Student Minyan: Serve as the student minyan advisor, providing shiurim, drashot, chavrutot, and organizational support. Act as a halakhic and hashkafic guide to Orthodox students, and the local Orthodox minyan as needed. 
• Teach Torah: Teach Torah in ways that are textually ambitious, intellectually sophisticated, inviting of questions, and responsive to students’ interests. In classes and informal settings, you’ll regularly facilitate complex conversations characterized by humility, curiosity, and respect for multiple perspectives. Beyond group settings, you will learn regularly in chavruta with multiple students.
• Welcome students in your home: Host students regularly for Shabbat and holiday meals, cultivating a sense of home and close-knit community for students away from their families.
• Create a warm Shabbat and Chag Environment: Support students and the rabbinic team in making Shabbatot and Chaggim times of connection and holiness, including at least one off-site Shabbaton for the Orthodox community.
• Provide pastoral care and mentorship: Build substantial relationships with a wide swath (> 100) undergraduate and graduate students through pastoral care, chavruta learning, teaching, and mentorship. Maintain a consistent, visible, and accessible presence in students’ daily lives, and work to make sure every Jewish student feels invited into and curious about deeper Jewish learning and practice, by modeling a grounded openness to their thoughts and experiences.
• Contribute to a pluralistic community: Grounded in Orthodox practice and identity, you will bring together elements of Harvard’s diverse Jewish community. This includes engaging respectfully and curiously with students’ and colleagues’ religious and moral commitments even and especially when they differ from your own. Beyond the Jewish community, you will participate in campus conversations and gatherings, including joining the Harvard Chaplains’ community.
• Be an exemplar of good middot: Unfailingly relate to students and colleagues with a warm, caring, and approachable demeanor. When questions or conflicts arise, you’ll approach them with energy and a commitment to working out solutions together with others - and will consistently try to take up others’ perspectives.
• Collaborate with the Hillel team: Join the student-facing programming team, collaborating closely with colleagues to plan and execute programs. All staff share responsibility for student engagement and bringing ideas to fruition, making their differences into points of connection and mutual appreciation. The Orthodox Rabbi reports to the Senior Director of Student Life and Executive Director and partners with the broader team to advance shared goals.
• Partner beyond Harvard: Serve as Harvard Hillel’s liaison to the Orthodox Minyan at Harvard Hillel, supporting scheduling, financial coordination, and student participation in the broader Cambridge Orthodox community. Maintain relationships with Jewish day schools and other pipelines to attract prospective students.

What You’ll Bring to the Job

• A commitment to and passion for creating Jewish community and inspiring students to grow in Torah, shmirat mitzvot, and participation in Jewish life.
• Appreciation for the value of a broader pluralistic Jewish community, and a desire to build bridges with other Jews.
• A warm, engaging, and approachable personality. 
• Experience in engagement and building meaningful pastoral relationships
• Facility in program design and implementation. 
• Relevant work experience in experiential Jewish education within Orthodox communities, Hillel, youth movements, or camp.
• A talmid hakham with strong textual knowledge and fluency, demonstrating deep familiarity with Torah, from traditional texts to contemporary Jewish wisdom, and the ability to engage students in the tradition of Jewish learning through learner centered pedagogy.
• Facility leading complex conversations that are intellectually serious and personally sensitive.
• A warm and welcoming home in which to host Shabbat experiences.
• Confidence initiating, running, and evaluating programs.
• A deep personal concern for the success of this work.
• A willingness to admit what you don’t know and excitement to learn in those areas
• Creative problem-solving, proactive communication, and the capacity to collaborate in teams both inside and outside of Hillel.
• Curiosity about… everything. You are hungry to learn and ask insightful questions before offering solutions. In this community, we are all learners, even the educators among us.
• Membership in good standing in a rabbinic alumni association with established ethical guidelines.
• BA and Orthodox rabbinic ordination.

What You’ll Receive

• Competitive salary range of $100,000-$110,000 for 10 months a year of employment.
• A network of students, parents, and university partners who will inspire you and become lifelong professional resources and partners.
• Opportunities for professional development, mentoring, and Jewish study.
• Colleagues and support from across the Hillel movement.
• Travel opportunities, both domestic and international.
• Stipends for Shabbat hosting experiences.
• A comprehensive benefits package, including health insurance, Tax Deferred Retirement Plan, Life, AD&D, and Long Term Disability insurances, Flexible Spending Plan, generous vacation/sick time, and parental leave.
• Plenty of Hillel and university swag.

About Harvard Hillel

Harvard Hillel is the Jewish center of the world’s greatest university. Home to 500 Jewish undergraduates and 1,800 Jewish graduate students, Harvard Hillel’s mission is to train a generation of Jewish students to lead a divided Jewish community in an uncertain future - by helping mentoring them as they create an inspiring, life-shaping community of meaning with and for one another during their years as students. Cambridge, Massachusetts is a rapidly growing observant Jewish community with synagogues, independent minyanim, an eruv, kosher restaurants, and hundreds of observant Jews. Students, young professionals, young couples, and families call "Camberville" home. We also have many Jewish resources including mikva’ot across the river in Brookline, Brighton, and Newton.

Harvard Hillel is affiliated with Hillel International. Hillel International enriches the lives of Jewish students so they may enrich the Jewish people and the world, and envisions a world where every student is inspired to make an enduring commitment to Jewish life, learning and Israel.

Your impact at LILA

We’re building a talent-dense, high-agency research team to develop the next generation of learning systems and reasoning algorithms for agentic LLMs. Our work sits at the intersection of large language models, post-training, and scientific reasoning, with the goal of enabling systems that learn from experience, reason effectively, and improve through interaction.

Scientific domains present a distinct set of challenges that make this problem uniquely hard. Feedback is sparse and delayed — experiments take days or weeks, not milliseconds. Ground truth is expensive or contested. Distribution shift is structural, as instruments, techniques, and knowledge bases evolve continuously. The hypothesis space is vast and reward signal is thin. Existing benchmark do not capture these nuances. The goal is to build systems that can operate effectively in this scientific regime.

This role spans a few complementary directions. Candidates are expected to bring deep expertise in one (ore more) of the following areas. In the event of cross-track expertise, please select the one you align to the most. Our interview process will be catered to verifying the chosen expertise area.

Expertise Area 1 — Agentic system building

Focus: Build systems that autonomously propose, execute, and verify scientific hypotheses over long time horizons.

• Create and analyze long-running auto-research systems that propose and verify hypotheses
• Design planning frameworks for agentic systems operating over long, sparse feedback loops
• Design memory architectures that allow agents to build and retrieve structured knowledge over time
• Explore algorithms in recursive self-improvement, multi-agent coordination, and continual learning

Expertise Area 2: Distillation

Focus: Translate strong inference-time behaviors and reasoning traces into efficient, trainable models.

• Develop distillation strategies from large or ensemble models into deployable systems
• Research methods for self-improvement, including iterative self-distillation and critique loops
• Investigate how to preserve generalization and reduce catastrophic forgetting through the distillation process

Expertise Area 3 — Scalable experience generation

Focus: Develop inference-time algorithms and synthetic data pipelines that generate high-quality training signal for scientific reasoning.

• Design and benchmark inference-time search, sampling, and verification strategies
• Propose new techniques in synthetic environment creation and curriculum learning
• Develop synthetic data generation strategies that capture high-quality scientific reasoning for agentic model training
• Measure the end-to-end impact of inference-time improvements on real scientific tasks

What you’ll need to succeed:

• An advanced degree in computer science, machine learning, or a related field, or or comparable experience
• Strong foundation in LLMs and empirical research
• Experience designing and executing rigorous ML experiments, including benchmarking and ablations
• Experience working with large-scale training or evaluation pipelines
• Ability to define and pursue research directions in open-ended, rapidly evolving spaces
• Strong collaboration and communication skills across research and engineering teams

Bonus points for:

• Experience with synthetic data generation, distillation, or self-improvement loops
• Familiarity with reinforcement learning (e.g., RLHF, on-policy methods)
• Experience with planning, search, or decision-making systems at scale
• Experience in building agentic systems with tool use, or multi-agent workflows
• Background in program synthesis, coding benchmarks, or long-horizon tasks
• Experience building evaluation frameworks or large-scale benchmarks

Scientific rigor & persistence:

• You take a principled approach to experimentation, with careful baselines, ablations, and evaluation design
• You are motivated by understanding why systems work, not just improving metrics
• You prioritize clarity, reproducibility, and intellectual honesty in research
• You are comfortable working through long, nonlinear iteration cycles
• You operate effectively in ambiguous, fast-evolving research environments

Your Impact at LILA

The AI Research team is tackling one of the most exciting, open problems in AI: training LLMs to run long-horizon scientific discovery tasks. Our approach spans the full post-training stack - from SFT to asynchronous RL on agentic harnesses - teaching models to plan, use tools, and learn from experience in domains where the ground truth isn't a preference label, but a scientific result.

We're rapidly growing our Research Engineering org and seeking talented engineers and ML practitioners across levels to design, build, and optimize systems to push this frontier: scaling post-training, sharpening reasoning, and unlocking compute-intensive agentic-harness training. This is a rare chance to join an early team with the autonomy, flexibility, and compute to tackle frontier science problems.

We operate with high agency, and a bias toward execution. Below are several focus areas within the team. We ask that candidates select the stream that best matches their experience and excitement.

Work Streams

Stream A: GPU Optimization & Training Performance

Maximize hardware utilization across 100B+ parameter asynchronous RL training runs. Responsibilities include profiling, performance optimization, custom kernel development, communication-computation overlap, and long-context throughput improvements. You set and maintain the performance baseline.

Stream B: Stack & Infrastructure

Own the post-training infrastructure end-to-end — supervised fine-tuning, asynchronous RL with tool integration, and data pipelines. Build modular, reproducible workflows with single-command execution. Manage upstream framework upgrades and deliver composable pipelines spanning Data, SFT, and RL stages. You work tightly with Research Scientists to develop and productionize novel algorithms to run at scale.

Stream C: Model Experimentation

Bring deep, hands-on experience training large language models. Lead experimentation on reasoning model development, including mixture-of-experts stabilization, curriculum design, and synthetic reasoning trace generation. You have a bias toward experimental design and tracking, and know how to prioritize runs that yield promising outcomes.

Stream D: Evaluations & Benchmarks

Design and build best-in-class scientific agentic benchmarks and harnesses, along with the dashboards and leaderboards that inform every training decision. You have experience working with well known public benchmarks and have spent time building bespoke agentic benchmarks and harnesses.

Stream E: Agentic Capabilities & Frontier Research

Train models capable of planning, exploration, and tool use over extended horizons. Advance the state of the art in RL at scale with tool-calling, subgoal decomposition, and shared memory/skills across trials to expand the frontier of scientific agent capabilities.

What You'll Need to Succeed

• Strong software engineering skills in Python; C++/CUDA a plus
• Experience with distributed ML training frameworks (Megatron-LM, TorchTitan, DeepSpeed, Ray)
• Understanding of large-scale model training techniques for 100B+ models
• Experience with cloud or HPC environment
• Ability to communicate technical results to internal and external stakeholders

Bonus Points For

• Prior work with large scale scientific datasets or domain-specific modeling
• Contributions to open-source ML frameworks
• Experience with RL post-training (RLHF, GRPO, tool-augmented RL)
• Experience training MoE architectures

Location

San Francisco, CA or Cambridge, MA (Remote, Hybrid, and On-Site available depending on team needs).

The Principal Data Scientist is a senior individual contributor and technical leader on the Customer Analytics team. This role leads the development and delivery of customer-facing analytics and data science solutions, with a focus on scientific rigor, scalable implementation, and measurable business impact. 

The position partners closely with Customer Solutions, Data Engineering, and Customer Success to translate complex business challenges into production-grade analytics, machine learning, and AI capabilities that improve product outcomes and client value. 

CMT is looking for a Principal Data Scientist I, Customer Analytics to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

Responsibilities: 

• Serve as a technical lead with a deep understanding of modeling methods from underlying mathematics, to assumptions, tradeoffs, interpretability, and limitations to ensure results are robust and reliable. 
• Use independent judgment and discretion to frame ambiguous business and customer problems into well-defined data science problem statements, project plans, modeling approaches, and measurable success metrics 
• Develop and implement advanced statistical and machine learning models end-to-end, including data pipelines, feature engineering, model development, validation, deployment, and ongoing monitoring
• Partner with analysts to build reporting dashboards and data products that convert model outputs into clear, actionable insights for internal stakeholders and external clients 
• Complete any additional tasks as they arise 

Qualifications: 

• Bachelor’s degree or equivalent years of experience and/or certification in a related field 
• 7+ years of working experience in data science, machine learning, advanced analytics or AI-focused roles 
• Deep foundation in statistics, experimental design, and causal inference, including the ability to explain methodology choices and validate assumptions 
• Demonstrated experience deploying and maintaining models or analytical systems in production using CI/CD practices, including monitoring and performance management 
• Strong data science language in Python (required) and SQL 
• Familiarity with Databricks, MLflow, Spark, or similar modern data/ML platforms

Compensation and Benefits:

• Fair and competitive salary based on skills and experience, and annual performance bonus
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical, Dental, Vision and Life Insurance, matching 401k, short-term & long-term disability and parental leave
• Unlimited Paid Time Off including vacation, sick days & public holidays
• Flexible scheduling and work from home policy depending on role and responsibilities

Base Salary Range

• The base salary range for this position is: $153,800 to $192,300. This range is specifically for Cambridge, MA

Additional Perks:

• Work on a mission with real impact: crashes prevented, injuries avoided, lives protected around the world
• Join an industry leader — 65 million drivers protected, powering 140+ programs across 25 countries
• Be part of the team inventing the future of mobility and road safety
• Move fast, own outcomes, do work that matters
• High ownership, small teams, and direct access to leadership — no layers between your work and its impact
• Unlimited PTO, flexible scheduling, competitive salary, annual performance bonus, RSUs, and full benefits including medical, dental, vision, and 401k match
• Summer Fridays
• Join one of our employee resource groups: Black, AAPI, LGBTQIA+, Women, Book Club, and Health & Wellness
• Comprehensive wellness, education, and employee assistance programs

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

About Cambridge Mobile Telematics:

Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell Fusion®, proactively identifies and reduces driving risk, leading to fewer crashes and injuries. To date, CMT’s technology has helped prevent over 126,000 crashes worldwide. CMT enables partners to measure risk, detect crashes, provide life-saving assistance, and streamline claims. Headquartered in Cambridge, MA, CMT operates globally with offices in Budapest, Hungary; Chennai, India; Seattle, Washington; Tokyo, Japan; and Zagreb, Croatia. Learn more at www.cmt.ai.

Flagship Pioneering is a scientific innovation engine that invents and builds companies that change the world. We bring together the greatest scientific minds with entrepreneurial company builders and assemble the capital to allow them to take courageous leaps in human health, sustainability, and beyond. 

What sets Flagship apart is our ability to advance biotechnology by uniting life science innovation, company creation, and capital investment under one roof in a way that is largely without precedent. Our team of scientists, entrepreneurial leaders, and professional capital managers are each aligned around an institutionalized process that enables us to innovate and create breakthroughs for the benefit of people and planet.

Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.

Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been named four times to Fast Company’s annual list of the World’s Most Innovative Companies.

Position Overview

Flagship Pioneering is seeking an experienced and strategic Vice President or Senior Vice President, Total Rewards and People Operations to lead the design, management, and evolution of Total Rewards programs and key people infrastructure across our ecosystem. The scope of this role spans compensation, executive compensation, equity, benefits, people operations, and people analytics for Flagship and its portfolio of companies.

This is a highly visible leadership role requiring deep expertise in compensation strategy and private-company equity, as well as the ability to operate effectively across a complex, fast-paced, and highly matrixed environment. The ideal candidate will bring strong executive presence, sound judgment, and the ability to translate business strategy into scalable people programs that support growth, innovation, and organizational effectiveness.

This leader will oversee an established team across Compensation, Benefits, People Operations, and People Analytics, and will be expected to shape a modern, market-relevant Total Rewards philosophy, refine equity and incentive structures, advance benefits strategy, and drive people insights that support executive decision-making.

Key Responsibilities

Total Rewards Strategy and Leadership

• Lead the strategy, design, and ongoing evolution of Flagship’s global Total Rewards philosophy across compensation, executive compensation, equity, benefits, and other reward programs. 
• Serve as the principal architect of rewards strategy, recommending program direction to senior leadership and ensuring alignment with business priorities, talent strategy, and financial objectives. 
• Develop and refine salary structures, incentive frameworks, equity guidelines, and market positioning approaches across a global footprint. 
• Oversee job architecture and leveling governance in support of internal equity, talent management, and scalable compensation decision-making. 
• Guide annual compensation planning processes, including merit, bonus, promotion, and other pay actions, in partnership with HR, Finance, and business leadership. 
• Partner closely with Talent Acquisition and HR Business Partners on executive and broad-based offer strategy, market competitiveness, and internal equity. 
• Lead the continued evolution of executive compensation and broad-based equity strategy across Flagship and applicable portfolio companies. 

Equity and Incentive Design

• Provide strategic leadership for complex equity and long-term incentive programs, including private-company equity structures and alternative long-term incentive constructs. 
• Oversee equity strategy, governance, and operational execution through the team, ensuring strong program design and scalable administration. 
• Partner with senior leadership on the design and refinement of incentive and ownership frameworks that support attraction, retention, and long-term value creation. 
• Bring familiarity with innovative and non-traditional compensation approaches, including profits interests, carried interest, and related long-term incentive structures. 

Benefits Strategy

• Lead benefits strategy across health and welfare, retirement, leave, and ancillary programs, ensuring programs remain competitive, sustainable, and aligned with organizational values and workforce needs. 
• Partner with the Benefits leader and external advisors to evaluate plan design, funding, market trends, vendor performance, and evolving regulatory requirements. 
• Support harmonization and modernization of benefits strategy where appropriate across a diverse and growing ecosystem. 

People Operations

• Oversee key People Operations functions, including onboarding, offboarding, employee lifecycle processes, policy administration, compliance workflows, service delivery, and operational process excellence. 
• Ensure people processes are scalable, well-governed, and designed to support a high-quality employee and manager experience. 
• Partner effectively across HR, Payroll, IT, Legal, and Finance to improve operational efficiency and strengthen people-related infrastructure. 
• Provide leadership on HR compliance, as well as compensation- and benefits-related compliance considerations, in partnership with internal and external experts as appropriate. 

People Analytics

• Lead the People Analytics agenda, with an emphasis on generating insights that support executive decision-making across workforce planning, hiring, retention, compensation, and organizational effectiveness. 
• Oversee dashboards, reporting, and analytical frameworks that inform leaders including the CEO and CFO. 
• Translate data and analysis into actionable recommendations in partnership with HR Business Partners and business leaders. 
• Advance a thoughtful, increasingly sophisticated analytics capability that supports better people decisions across Flagship and the broader ecosystem. 

Portfolio Company Partnership

• Advise and support portfolio company leaders on Total Rewards strategy, with involvement calibrated to company stage, maturity, and business need. 
• Tailor rewards frameworks and guidance for a range of company stages while maintaining sound governance and alignment with broader talent and value creation goals. 
• Present recommendations and insights to portfolio company leadership and boards as needed. 

Leadership and Team Development

• Lead, develop, and inspire a multi-functional team spanning Compensation, Benefits, People Operations, and People Analytics. 
• Foster strong collaboration across functional teams and help continue building a high-performing, service-oriented, and strategically focused organization.
• Manage external consultants, brokers, survey providers, and other key vendors in support of rewards strategy and operational excellence. 

Qualifications

• 15+ years of progressive experience in Total Rewards, with significant depth in compensation strategy and experience leading broad, multi-functional teams. 
• Deep expertise in compensation design, market benchmarking, executive compensation, incentive strategy, and private-company equity. 
• Strong familiarity with alternative long-term incentive structures, including profits interests, carried interest, and other innovative ownership or reward constructs. 
• Experience leading or advising on benefits strategy, including health and welfare, retirement, leave, and ancillary offerings. 
• Experience overseeing or partnering closely with People Operations and People Analytics functions in complex organizations. 
• Demonstrated success operating in high-growth, founder-led, venture-backed, private equity, or similarly dynamic business environments. 
• Experience supporting global workforces and navigating matrixed organizations with multiple stakeholders and business models. 
• Strong executive presence with the ability to influence senior leaders, present compelling recommendations, and operate as a trusted advisor. 
• Proven ability to translate data and market insights into practical, business-relevant decisions and action plans. 
• Experience working with boards, founders, and senior executive stakeholders preferred. 
• Prior life sciences or biotechnology experience preferred, but not required. 

Why Join Flagship Pioneering?

This is a rare opportunity to play a critical role in shaping how a highly innovative organization rewards, supports, and scales exceptional talent. As Senior Vice President, Total Rewards and People Operations, you will operate at the intersection of business strategy, organizational design, and cutting-edge science, helping to build and evolve the people infrastructure that supports transformative work in human health and sustainability.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

#LI-NM1

The salary range for this role is $300,000 - $400,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Flagship Pioneering currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Flagship Pioneering's good faith estimate as of the date of publication and may be modified in the future.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience             

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Your Impact at LILA

As a Robotics Scientist at Lila, you will lead the research and development of autonomous robotic systems that serve as the intelligent physical infrastructure of our scientific superintelligence platform. You’ll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling fully autonomous workflows for scientific discovery, combining cutting-edge robotics, machine learning, and systems engineering.

What You'll Be Building

• Design and develop autonomous robotic systems for transport and workcell operations, integrating advanced path planning, navigation, and motion planning algorithms
• Build production-grade mobile manipulation platforms leveraging ROS/ROS2 and modular robotic architectures
• Advance robotic perception by integrating sensing modalities such as 3D vision, LIDAR, and tactile sensors to enable robust, adaptable task execution
• Use simulation environments to model, test, and optimize task planning, scheduling, and robot behaviors in diverse lab scenarios
• Collaborate with AI, mechanical, and software engineering teams to translate theoretical robotics research into real-world autonomous systems

What You’ll Need to Succeed

• Ph.D. in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field, or equivalent research experience
• Expertise in motion planning, path planning, and navigation for manipulation and mobile robotics
• Proficiency with ROS/ROS2, C++, and Python, with hands-on experience building robotic systems in real-world environments
• Deep understanding of perception systems and sensor integration (e.g., camera, LIDAR, tactile sensors)
• Proven ability to take robotic systems from concept through to deployment

Bonus Points For

• Experience with dual-arm mobile manipulation systems or other high-DOF robotic platforms
• Familiarity with simulation tools such as Gazebo, Isaac Sim, or PyBullet
• Background in machine learning for perception, control, or adaptive planning
• Experience with real-time decision-making in human-robot collaboration scenarios
• Strong publication or patent record in robotics, autonomy, or perception

Your Impact at LILA

As a Robotics Scientist at Lila, you will lead the research and development of autonomous robotic systems that serve as the intelligent physical infrastructure of our scientific superintelligence platform. You’ll develop novel algorithms and deploy intelligent robotic solutions that interact seamlessly with human scientists and complex lab environments. Your work will accelerate our mission by enabling fully autonomous workflows for scientific discovery, combining cutting-edge robotics, machine learning, and systems engineering.

What You'll Be Building

• Pioneering approaches for precise and dexterous robotic manipulation that leverage foundation models, reinforcement learning, diffusion-based methods, and human guidance to enable adaptive and intelligent robotic systems capable of complex tasks across diverse scientific environments
• Developing novel human-robot interaction frameworks that incorporate imitation learning, and learning from human guidance, feedback, demonstrations and corrections, creating intelligent robotic agents that can seamlessly integrate with human scientific workflows and rapidly adapt to new experimental contexts
• Advancing dexterous manipulation research through cutting-edge machine learning approaches, including diffusion models and adaptive learning algorithms, that synthesize multi-modal sensing (tactile, visual, and language) to develop generative skill representation sand sophisticated motor learning policies for intelligent robotic systems
• Designing autonomous robotic systems with trust calibration mechanisms, enabling intelligent agents that can dynamically adjust their behaviors based on contextual information in complex scientific tasks

What You’ll Need to Succeed

• Ph.D. in Robotics, Machine Learning, Computer Science, or a related field with demonstrated expertise in foundation models for robotic learning
• Advanced proficiency in reinforcement learning, diffusion-based methods, imitation learning, and adaptive learning algorithms for robotic manipulation
• Expert-level experience with machine learning frameworks (PyTorch, TensorFlow) and deep learning architectures for developing foundation models, with specific expertise in diffusion-based generative models for robotics
• Proven track record of developing multi-modal perception systems integrating tactile, visual, language and other contextual sensing for intelligent robotic agents
• Strong publication record in robot learning, demonstrating innovative approaches to trust calibration, contextual learning, and generative robotic skill learning

Bonus Points For

• Research contributions to foundation models and diffusion methods in robotics
• Experience with large-scale machine learning model development, particularly generative and diffusion-based approaches
• Expertise in human-in-the-loop learning, correction-based training paradigms, and diffusion-guided skill transfer
• Demonstrated ability to translate theoretical machine learning research, especially diffusion and generative models, into practical robotic implementations

What if... We could harness the power of Flagship’s scientific platforms and create novel treatment options that benefit more patients, sooner?

Pioneering Medicines is dedicated to conceiving and developing a broad portfolio of life-changing treatments by leveraging and expanding the use of Flagship’s multiple bioplatforms and Flagship’s proprietary innovation process. By harnessing the power of Flagship’s first-in-category platforms, Pioneering Medicines creates and advances novel medicines, partnering with Flagship companies to accelerate the extension of their portfolios into new areas and show that the platform can be applied more broadly, thereby delivering benefits to more patients, sooner. With a highly experienced drug development team and access to the wide ecosystem of Flagship companies, Pioneering Medicines is well positioned to conceive new medicine ideas both internally and in collaboration with strategic partners and advance these assets through to significant value inflection. 

Position Summary

As the Director, Business Development, Transactions you will be responsible for leading strategic transactions for Pioneering Medicines and for select company's across the Flagship ecosystem.  This role requires the ability to influence up, down and across the ecosystem as well as strong organizational, communication and presentation skills. The successful candidate will have scientific acumen, the ability to think and act strategically, be deeply collaborative, and will thrive in a fast-paced, entrepreneurial environment.

Key Responsibilities

In this role you will lead the structuring, negotiating and completion of in-licensing, out-licensing and asset sale transactions for Pioneering Medicines and for negotiating all types of strategic transactions for companies across the Flagship ecosystem.  Additional responsibilities include leading diligence and financial analysis in support of new deals and presenting key findings to company leadership and investment decision-makers. 

Specific Responsibilities

• Collaborate closely with other members of the Partnering team and cross-functional leaders to shape and execute Flagship's business development strategy.
• Establish credibility across the organization through a deep understanding of the biotech and pharmaceutical deals landscape.
• Prepare opportunity assessments with scientific/portfolio rationale, partnership framework and financial assessment, analysis of competitive landscape and comparable deal terms
• Foster strong cross-functional collaboration with R&D, operations, finance, and legal.
• Drive engagement with potential top tier pharmaceutical partners establishing relationships and communicating the vision of the Flagship ecosystem.
• Identify, implement, and continuously refine best practices for partnership operations, program tracking, and execution.
• Lead the coordination and execution of key internal Partnering meetings, ensuring effective agenda setting, action tracking, and follow-up.
• Develop guiding principles and objectives, then track execution against these objectives; develop joint ways of working, and participate in health checks for key partners.

Key Qualifications

• Bachelor’s degree in life sciences, business administration, or a related field; MBA or relevant advanced degree a plus.
• Expertise with contracts and a track record of negotiations.
• 5+ years of experience in business development, partnership management or alliance management within a large pharma or biotech environment.
• Strong analytical, financial, problem-solving, and decision-making skills with the ability to manage multiple priorities.
• Ability to interface with external partners.
• Demonstrated experience managing complex relationships and driving operational efficiencies.
• Proven ability to collaborate across diverse functions and lead cross-functional initiatives.
• Excellent communication and organizational skills with strong executive presence.
• Strong leadership skills and proven ability to influence others to reach common goals as well as act independently.
• Ability to thrive in a fast-paced, evolving environment and drive continuous improvement.
• Self-motivated, attention to detail, and proven ability to work well in teams.

What We’ll Offer You

• Comprehensive, competitive healthcare and dental coverage through Blue Cross Blue Shield, vision coverage through VSP, family leave, paid flexible time off, 401k retirement plan, disability and life insurance, mental health program via Calm, backup care for children/senior and fully covered parking/commuter benefits.
• A dynamic work environment with entrepreneurial spirit and highly interdisciplinary, talented, and collaborative team. Opportunities to work with Flagship scientific platforms/portfolios and create novel treatment options that benefit more patients sooner.
• Professional growth opportunities through mentoring, training, immersion in cross-functional projects, and opportunities to learn and try new things.

About Flagship 

Flagship Pioneering is a scientific innovation engine that invents and builds companies that change the world. We bring together the greatest scientific minds with entrepreneurial company builders and assemble the capital to allow them to take courageous leaps in human health, sustainability, and beyond. 
 
What sets Flagship apart is our ability to advance biotechnology by uniting life science innovation, company creation, and capital investment under one roof in a way that is largely without precedent. Our team of scientists, entrepreneurial leaders, and professional capital managers are each aligned around an institutionalized process that enables us to innovate and create breakthroughs for the benefit of people and planet. 
 
 Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.  Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies, and has been named four times to Fast Company’s annual list of the World’s Most Innovative Companies. 

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background. 

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

#LI-TD1

The salary range for this role is $172,000 - $236,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Pioneering Medicines currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Pioneering Medicines's good faith estimate as of the date of publication and may be modified in the future.

About the team

At Roku, the UI Systems team builds the high-performance engines and core graphics infrastructure that power millions of devices. We own the low-level C++ frameworks, rendering pipelines, and system architectures that enable smooth navigation and rich animations. Our work sits at the intersection of hardware and software, where we optimize graphics rendering, memory management, and layout engines to ensure a consistent, lightning-fast experience across our entire device portfolio. We operate in a collaborative, high-trust environment, partnering closely with firmware and silicon teams to push the boundaries of what’s possible on embedded hardware.

About the role

As a Senior Software Engineer, you will be a key architect of the core systems that underpin Roku’s user experience. You will design and implement performance-critical code within our UI engine, focusing on graphics primitives, memory efficiency, and hardware acceleration. You’ll tackle complex systems-level challenges—such as optimizing frame rates on resource-constrained hardware and building robust APIs for higher-level frameworks. This role is ideal for engineers who thrive on low-level systems programming, care about performance down to the microsecond, and want to build the high-performance foundations that power the future of television.

What you’ll be doing

• Architect and optimize core C++ UI frameworks and rendering engines to ensure buttery-smooth performance across a diverse range of hardware profiles.
• Lead technical investigations into system-level bottlenecks, memory leaks, and GPU/CPU synchronization issues.
• Develop and maintain low-level graphics APIs and layout systems that serve as the backbone for Roku’s application ecosystem.
• Integrate AI/ML capabilities at the systems level, leveraging generative AI tools to optimize code generation and automate performance profiling.
• Collaborate with firmware and driver teams to leverage hardware-specific optimizations and ensure seamless integration with the underlying OS.
• Mentor junior developers through deep-dive code reviews, architectural design sessions, and technical documentation of core systems.
• Drive engineering excellence by implementing advanced debugging tools, automated performance regression suites, and modern C++ best practices.

We’re excited if you have

• Minimum of 5+ years of software engineering experience with a heavy focus on C++ (C++14/17/20).
• Deep understanding of systems programming, including memory management, multi-threading, and hardware-software abstraction layers.
• Experience with graphics APIs (e.g., OpenGL, Vulkan, or proprietary embedded graphics stacks) and rendering pipelines.
• Proficiency in Python for tooling and automation, with a working knowledge of BrightScript or JavaScript being a significant plus.
• Strong root cause analysis skills, specifically using tools like GDB, Valgrind, or platform-specific profilers.
• Knowledge of AI applications and hands-on experience using generative AI tools to accelerate systems-level development.
• A proactive mindset with a passion for squeezing every drop of performance out of embedded systems and a commitment to data-driven optimization.

About the team

At Roku, the UI team builds the foundational frameworks, tooling, and high‑performance UI components that power experiences across millions of devices. We own the middleware and UI layers that enable smooth navigation, responsive interactions, rich animations, and consistent developer workflows across the platform. Our work spans graphics rendering, layout and animation systems, performance optimization, and developer APIs that make it easy to create reliable, visually compelling applications at scale. We operate in a collaborative, high‑trust environment and partner closely with firmware, platform, and product teams to ensure the end‑to‑end experience is fast, robust, and ready for what’s next.

About the role

As a Senior Software Engineer on the UI team, you’ll design, implement, and optimize systems that underpin Roku’s user experience and developer platform. You’ll work on performance‑critical code paths for graphics rendering, animation, layout, and UI frameworks, ensuring buttery‑smooth visuals and instant responsiveness across a wide range of devices. You’ll help shape core architecture, collaborate across the stack with hardware, firmware, and application teams, and see your work directly impact tens of millions of users. This role is ideal for engineers who love deep technical problem‑solving, care about performance down to the last millisecond, and want to build the invisible foundations that make great user experiences possible.

What you’ll be doing

• Build scalable UI features optimized for millions of users
• Lead technical investigations and architect solutions across middleware, UI frameworks, and rendering pipelines
• Integrate AI/ML capabilities and leverage generative AI tools to accelerate development and improve developer productivity
• Collaborate with cross‑functional teams to deliver global platform features with measurable performance and reliability gains
• Develop engineering tooling, frameworks, and automated workflows that raise developer efficiency and code quality
• Mentor junior developers through design reviews, pair programming, and clear technical documentation
• Stay current with platform, graphics, and AI trends; proactively identify opportunities to improve performance and developer experience

We’re excited if you have

• Minimum of 5+ years of software engineering experience with a focus on UI frameworks or application development
• Advanced BrightScript (or JavaScript‑like) skills and proficiency in Python
• Experience using Typescript is a plus!
• Knowledge and hands-on experience using C++
• Strong root cause analysis skills and clear, effective technical communication
• Knowledge of AI applications and hands‑on experience with generative AI tools and workflows
• A proactive mindset with passion for continuous learning, fast iteration, and data‑driven optimization

#LI-NM1

Your Impact at LILA

Lila Sciences is using its autonomous science platform to accelerate chemical discovery — from smarter synthesis pathways and next-generation catalysts to molecular design for clean energy and industrial applications. The Chemistry experiment team is running programs at a pace and scale that demands serious operational rigor, and we're looking for a Technical Program Manager to provide it. You'll work closely with the Chemistry domain lead who sets scientific strategy and direction, while you own the execution layer: the project plans, the cross-functional dependencies, and the blockers that need to be surfaced and resolved before they become problems. You won't be directing scientific work — you'll be creating the conditions for it to happen at speed and at scale. This is a role for someone who genuinely loves the craft of program management in complex, technical environments.

What You'll Be Building

• Own day-to-day program execution within the Chemistry experiment team — maintaining project plans, tracking milestones, and ensuring agentic science programs are delivered on time and with rigor
• Serve as the primary operational interface between the Chemistry team and platform partners (Automation, ML, Engineering) — communicating needs, aligning on priorities, and keeping dependencies visible and resolved
• Translate scientific program goals into structured workstreams that enable autonomous experimentation to run efficiently and at scale
• Run program rituals including sprint planning, stand-ups, and retrospectives with a bias toward purposeful meetings, documentation, and follow-through
• Partner with the Chemistry domain leads to surface blockers, risks, and interdependencies early and drive them to resolution
• Support the delivery of commercial contracts by working with the Product & Revenue team to ensure program commitments are well-scoped, tracked, and clearly communicated to all stakeholders
• Contribute to capacity planning and resource coordination in partnership with scientific leadership

What You’ll Need to Succeed

• 10+ years of program or project management experience in a chemistry, pharmaceutical, or deep tech environment
• A Bachelor's degree in Chemistry, Chemical Engineering, or a related field
• A track record of managing multiple concurrent programs in fast-paced, ambiguous environments and energized by building programs from the ground up; early-stage start-up experience is a strong plus
• Demonstrated ability to coordinate across scientific and operational stakeholders and manage complex cross-functional dependencies
• Sufficient scientific fluency to understand Chemistry program goals and communicate them clearly to partner teams
• Experience supporting commercial program delivery and working with external partners or customers
• Exceptional written and verbal communication skills — able to break complex goals into clear, achievable units of work and keep stakeholders consistently well-informed

Bonus Points For

• Familiarity with project management tools such as Smartsheet, Asana, Jira, or similar
• PMP, PgMP, or agile certification (e.g., CSM, SAFe) is a plus

AI Resident – 2026 Cohort

The AI Residency Program is a full-time research opportunity designed to bridge the gap between academic research and industry applications in AI for materials science. Residents will work closely with Lila scientists and engineers on high-impact, open-science projects, with the option to focus on either fundamental or applied research.

• Duration: 6–12 months (extension possible)
• Start Dates: First hires beginning January 2026, with rolling applications and additional intakes in Summer and Fall 2026
• Cohort Size: Small group of selected residents
• Mentorship: Pairing with technical mentors, feedback from cross-functional teams
• Resources: Access to proprietary datasets, high-performance compute, and Lila’s research infrastructure

Research areas include ML-accelerated simulations, Bayesian methods, representation learning, generative models, agentic science, and ML-driven automation.

Your Impact at Lila

The Lila Sciences AI Residency is a full-time research program at the intersection of artificial intelligence and materials science. As a resident, you'll join a cohort of researchers tackling open-ended scientific challenges alongside Lila’s world-class team of scientists and engineers. With access to proprietary datasets, high-performance compute infrastructure, and experienced mentors, you'll pursue ambitious research projects with both academic and real-world impact. Publishing is encouraged but not required — what matters most is pushing the frontier of scientific discovery.

What You'll Be Building

• Design and execute independent research projects in AI for materials science
• Collaborate with Lila scientists and engineers on cutting-edge, open-science initiatives
• Explore domains such as ML-accelerated simulations, Bayesian methods, representation learning, generative AI, agentic science, and ML-driven automation
• Contribute to collaborative team research and co-develop novel approaches to scientific discovery
• Share findings internally and externally; publications are welcome but not mandatory

What You’ll Need to Succeed

• Degree in Materials Science, Chemistry, Computer Science, AI/ML, Physics, Mathematics, or related field (Bachelor’s, Master’s, or PhD)
• Proficiency in Python and deep learning frameworks (e.g., PyTorch)
• Experience working with large-scale datasets or simulations
• Familiarity with modern AI/ML architectures and training techniques
• Strong research background, demonstrated through publications, thesis work, or open-source projects

Bonus Points For

• Prior work on ML applications in scientific domains (e.g., materials discovery, chemistry, simulations)
• Familiarity with Bayesian optimization, active learning, or generative models
• Experience in reinforcement learning or agent-based approaches to scientific reasoning
• Open-source contributions or collaborative research experience
• Strong communication and writing skills, especially for conveying complex scientific ideas

Your Impact at LILA

The Director, Discovery Chemistry will lead the design, synthesis, and optimization of small molecules across Lila’s discovery platform, with a primary focus on organic synthesis, molecular design, and scalable chemistry execution. This leader will build and scale a world-class molecular chemistry program that translates AI-generated molecular hypotheses into high-quality, synthetically tractable, and functionally validated chemical matter.

Working closely with Lila’s AI, automation, computational, biology, and platform teams, this role will establish the chemistry infrastructure required to rapidly progress novel molecules from concept to validated candidates across a broad range of discovery efforts. The Director will drive synthetic strategy, route design, analog generation, molecular property optimization, and chemistry-enabled innovation, while enabling seamless integration with robotic synthesis and platform-based experimentation.

This leader will play a central role in shaping Lila’s molecular discovery engine by combining deep expertise in synthetic organic chemistry, molecular design, and data-enabled experimentation to accelerate the discovery of high-value molecules for therapeutic and broader platform applications.

What You'll Be Building

• Drive discovery chemistry strategy across discovery programs, with strong emphasis on small molecule design, synthetic innovation, analog generation, and optimization of chemical matter.
• Lead the design and execution of synthetic routes for novel small molecules, emphasizing speed, robustness, scalability, and compatibility with automated synthesis platforms.
• Develop and implement efficient workflows for molecular design, compound prioritization, analog generation, and iterative design–make–test cycles in collaboration with AI and computational teams.
• Partner closely with automation and platform teams to establish robotic and high-throughput chemistry capabilities that expand accessible chemical space and accelerate molecule generation.
• Guide the selection of reagents, reaction modalities, and synthetic methodologies to enable rapid exploration of structurally diverse and functionally relevant chemical matter.
• Drive discovery chemistry strategy across discovery programs, with strong emphasis on small molecule design, synthetic innovation, analog generation, and optimization of chemical matter.
• Lead the design and execution of synthetic routes for novel small molecules, emphasizing speed, robustness, scalability, and compatibility with automated synthesis platforms.
• Develop and implement efficient workflows for molecular design, compound prioritization, analog generation, and iterative design–make–test cycles in collaboration with AI and computational teams.
• Partner closely with automation and platform teams to establish robotic and high-throughput chemistry capabilities that expand accessible chemical space and accelerate molecule generation.
• Guide the selection of reagents, reaction modalities, and synthetic methodologies to enable rapid exploration of structurally diverse and functionally relevant chemical matter.
• Oversee molecular optimization by integrating chemistry principles including structure–activity relationships, physicochemical properties, selectivity, developability, and synthetic tractability.
• Collaborate with biology, screening, and profiling teams to interpret assay and characterization data and translate those insights into informed molecular design decisions.
• Drive discovery efforts from early chemical matter generation through optimization of advanced molecules, including scaffold evolution, property tuning, and progression toward candidate-quality compounds.
• Establish best practices for experimental design, chemistry data capture, compound registration, quality control, and reproducibility across molecular chemistry operations.
• Contribute strategically to program direction by aligning chemistry efforts with therapeutic hypotheses, platform capabilities, and broader company priorities.

What You’ll Need to Succeed

• PhD in Organic Chemistry, Medicinal Chemistry, Chemical Biology, or a closely related discipline with 12–15 years of experience in small molecule discovery and molecular design.
• Demonstrated experience building and leading high-performing chemistry teams, including hiring, mentoring, and developing scientists across multiple levels.
• Proven track record advancing small molecule programs through molecular design, high-throughput synthesis, optimization, and candidate progression.
• Deep expertise in synthetic organic chemistry, retrosynthesis, route design, and practical execution of complex multistep syntheses.
• Strong experience optimizing molecular properties, including potency, selectivity, physicochemical behavior, and overall developability of small molecule series.
• Demonstrated success designing and delivering compound libraries or analog series to efficiently explore chemical space and address multiparameter optimization challenges.
• Experience working effectively in highly interdisciplinary environments spanning chemistry, biology, automation, and computational sciences.
• Experience collaborating with biology, screening, pharmacology, or related functions to incorporate experimental data into chemistry decision-making.
• Strong understanding of compound quality standards, purification and characterization workflows, and chemistry data integrity.
• Track record of scientific leadership, program delivery, and advancing discovery-stage molecules in an industrial or high-performance research environment.

Bonus Points For

• Experience working in AI-enabled discovery environments or integrating computational design and machine learning insights into chemistry workflows.
• Experience building or scaling automated, robotics-enabled, or high-throughput chemistry platforms for molecular synthesis and optimization.
• Familiarity with modern synthesis-enabling technologies.
• Experience translating chemistry needs into platform requirements, including instrumentation selection, workflow design, and integration with automated systems.
• Broad understanding of molecular design principles across therapeutic discovery and other small-molecule innovation areas.
• Experience operating in fast-paced environments where scientific creativity, speed, and cross-functional execution are critical.
• Ability to evaluate synthetic feasibility alongside innovation potential to prioritize molecules and chemical series effectively.
• Strong communication and leadership skills, with the ability to align multidisciplinary teams around ambitious scientific goals.