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

Your Impact at LILA

Lila is building a talent-dense, high-agency AI safety team at Lila that will engage all core teams within the organization (science, model training, lab integration, etc) to prepare for risks from scientific superintelligence. We are looking for a Senior or Principal Technical Program Manager to join our AI Research team and serve as a critical operational force behind our AI safety work.

In this role, you will be the connective tissue between our researchers, model development teams, engineering, policy stakeholders, and leadership — translating complex, fast-moving research programs into structured, accountable execution. While not an ML researcher yourself, but you must be genuinely curious about the technical substance of AI safety work, and able to clearly articulate what our efforts are trying to accomplish. The successful candidate will be someone who thrives in ambiguity, communicates exceptionally well across audiences, and knows how to build clarity and momentum in a fast paced and rapidly growing team.

What You'll Be Building

• Serve as the key communication interface between the AI safety team and the research, science and technical teams, effectively communicating complex outcomes and securing necessary resources. Set up the organisational information flows that allow for this communication to happen with speed at scale.
• Drive accountability across distributed, cross-functional teams without relying on direct authority; build consensus through clear communication and sound judgment.
• Implement best practices for rapid experimentation and iteration, facilitating efficient and agile program progression.
• Develop clear documentation and reporting to communicate vision, track progress, and align initiatives with organizational priorities.
• Represent program status and risks accurately and confidently, even when the picture is uncertain or evolving.

What You’ll Need to Succeed

• Bachelor’s or Master’s degree in Computer Science, Engineering, Life Sciences, or a related field.
• 6+ years of program or project management experience in the technology or life sciences field.
• Proven experience in program management, leading cross-functional teams and driving programs to successful completion.
• Strong analytical and problem-solving skills, with the ability to turn technical requirements into actionable program roadmaps.
• Exceptional written and verbal communication skills; a track record of producing executive-quality documents, roadmaps, and updates that drive decisions.

Bonus Points For

• Direct experience in AI/ML research or product organizations, ideally in a program management or research operations capacity.
• Working familiarity with AI safety concepts — alignment, red-teaming, evaluations, responsible scaling — sufficient to engage credibly with researchers and ask good questions.
• Experience managing programs that span safety, compliance, or governance workstreams, particularly in the context of model development and deployment.
• Enthusiastic about emerging technologies and experienced in driving rapid experimentation and program iteration.

PhaseV is a Boston-based technology company that redefines clinical development at scale with its enterprise-ready, multi-modal AI/ML platform — accelerating decisions, de-risking trials, and driving more efficient portfolio strategies. With over $65M raised from Accel, Insight, and others, we are poised to make a significant impact on how drugs are developed and brought to market.

We are seeking a BiostatisticsResearch Consultant in the US. This role would have a dual mission of client-facing consulting and cutting-edge research in statistics, data science, causal inference, machine learning for modern clinical trial design and biopharmaceutical development. This position would report to Dr. Brad Carlin, head of Statistics at PhaseV.

Primary job responsibilities will include:

Consulting:

1. Be part of a team working on client-specific projects in trial design and data analysis, including development of code and client-facing interaction
2. Support real-time clinical trial implementation as requested by clients or CROs less familiar with Bayesian and other modern statistical approaches
3. Write and co-present final reports in both oral and written form

Research:

1. Support the development of research papers for statistical, machine learning, and medical journals on modern methodological approaches relevant to the company’s interests and computing platform development, as well as applied papers growing out of consulting projects or conference interactions
2. Support submission and revision of these papers for publication in refereed journals
3. Attend and give presentations about these research projects at national and international conferences and other meetings as requested

Job requirements:  

1. PhD in statistics, biostatistics, machine learning, or a related field
2. Excellent written and verbal English communication skills 
3. Proven ability to work both independently and in a team environment 
4. Proven ability to prioritize and balance multiple tasks 
5. Broad knowledge of statistical modeling is required, including all standard methods in Bayesian hierarchical modeling and computing, methods for longitudinal and time-to-event data, propensity scoring and other standard tools for causal inference, and basic tools for sample size estimation
6. Proficiency in either R or Python programming is required; proficiency in both is preferred; proficiency in SAS programming is a plus 
7. Experience in shell scripting, high performance computing, and cloud computing is preferred 
8. Knowledge of clinical trials and associated regulatory compliance issues is a plus 
9. Experience with leading and managing projects is preferred 
10. Qualified candidates must be legally authorized to be employed in the US
11. Strong preference for candidates who can work on-site (in Cambridge, MA) 2 days per week.  
12. Travel to the home office and some client meetings are expected; statistical and other conference travel to promote the team’s research mission will also be supported. 

What We Offer:

• Join us on a mission to change the world for the better.
• The opportunity to work with an amazing team passionate about making a real-world impact.
• Extremely hard and diverse problem setting, in which the team is pushing the envelope.
• A collaborative and dynamic startup environment.
• Professional growth and development opportunities.
• Competitive compensation and equity participation
• Comprehensive benefits, 401(k) match, and flexible hybrid culture