Partner Senior Solution Engineer - APAC

Partner Senior Solutions Engineer

We are seeking a dynamic and skilled Senior Solutions Engineer to join our APAC team at Boomi. You will play a crucial role in supporting partner accounts, managing relationships with partners’ technical staff, and providing extraordinary solutions tailored to meet their needs.

Your expertise will contribute to verifying operability, articulating value propositions, and qualifying sales opportunities to drive success for both the customer and Boomi.

Why Boomi, Why Now

At Boomi, you’ll join a fully established GTM team during one of the most exciting phases of our European expansion. We’re a recognized Gartner Magic Quadrant leader in iPaaS, and our intelligent integration, automation, and AI-powered platform is shaping the future of connected business.

As a Senior Solutions Engineer, you won’t just be another cog in a huge machine—you’ll have real influence, visibility, and the ability to make a direct impact on how our enterprise customers transform their operations. You’ll collaborate closely with experienced Account Executives, solution engineers, and partners across APAC, supported by strong local leadership and a culture that prizes innovation, autonomy, and teamwork.

Boomi’s momentum in our APAC market  means white-space opportunities to grow your reputation, accelerate your career, and work on cutting-edge projects—from AI-augmented workflows to hybrid-cloud transformations. Add to that our flexible, remote-first culture, solid CSR commitments, and competitive compensation—and you’ve got a place where top Solutions Consultants can truly thrive.

What You’ll Do:

• Gain access to and manage relationships with partner technical staff functions to understand their requirements and challenges proficiently.
• Qualify sales opportunities by understanding partner and customer technical requirements, decision-making processes, and underlying demand drivers.
• Uncover and articulate the business value of Boomi's Intelligent Automation and Integration solutions.
• Create compelling presentations that demonstrate to technical as well as business decision-makers how Boomi successfully solves pain points.
• Provide technical expertise and guidance throughout the sales process, ensuring a smooth transition from presales to implementation.
• Understand the competitive landscape and position Boomi's solutions appropriately against competitors.
• Collaborate with other sales engineers, leaders, and cross-functional technical groups to ensure a consistent and effective approach to solution application and development.
• Stay updated on industry trends, the competitive landscape, and emerging technologies relevant to Boomi's offerings (no-code/low-code solutions for AI, APIM, Business Process Automation, MFT, Integration and Data Management).
  
  

The Experience You Bring:

• Exemplary written and verbal communication skills in English
• Significant number of years of client-facing experience with a robust technical aptitude and presentation skills, and/or a Bachelor’s Degree in Engineering, Computer Science, Applied Science, Business Administration, or a related field.
• Some field sales or customer consulting experience is preferred.
• Solid comprehension of integration technologies with a focus on API management, data management, and real-time integration.
• Experience with other iPaaS, API Management, Business Process Automation, Process Mining or Data Management vendors is a significant advantage.
• Integration experience with enterprise applications such as SAP, Oracle EBS, Fusion, Netsuite, MS Dynamics, ServiceNow, Salesforce, IFS and others is also an advantage.
• Solid business acumen with the ability to understand, design, and validate system architectures that are relevant in modern enterprise environments.
• Ability to uncover customer needs and articulate the business value of solutions skillfully.
• Ability to prioritize tasks and foster effective communication in global cross-functional teams.
• Solid presentation skills and comfort presenting to a wide variety of audiences, both in terms of responsibility and technical acumen.
• A natural passion for creative problem-solving and a curiosity to understand how things work.
• Ability to switch between working individually or collaboratively for extended periods.
• Understand the importance of continuous learning while also being a coach and mentor to other team members.

If you are passionate about technology, thrive in a customer-facing role, and possess the skills and experience outlined above, we encourage you to apply for this exciting opportunity to be part of the Boomi team.

#LI-VC1 #LI-Remote

CSQ227R65

As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.

The impact you will have:

• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. 
• Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
• Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. 
• Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
• Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
• Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.

CSQ227R65

As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.

The impact you will have:

• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. 
• Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
• Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. 
• Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
• Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
• Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.

HPC & Cloud Infrastructure Engineer

Important Information

Location: Singapore

12 months contract

Job Summary

We’re hiring an HPC & Cloud Infrastructure Engineer to design, deploy, and optimize high-performance computing environments across on-prem and cloud. You’ll manage HPC clusters, interconnects, job schedulers, and enable AI/ML workloads at scale while driving automation and cost efficiency

Job Description

Architect, deploy, and manage HPC clusters with job schedulers, parallel file systems, and cluster management tools

Design, configure, and troubleshoot Infiniband high-throughput, low-latency interconnects for HPC/distributed workloads

Own PBS Professional scheduling: deployment, queue optimization, custom job submission scripts, workload management

Administer RHEL-based systems: performance tuning, package management, security hardening, patching via Red Hat Satellite and Ansible

Build and maintain cloud HPC environments on AWS, Azure, and GCP – provisioning, hybrid setups, migrations, and cost optimization

Implement Infrastructure as Code using Terraform/Ansible and integrate with CI/CD pipelines for reproducible infrastructure

Enable GPU & AI/ML workloads: containers, TensorFlow, PyTorch, scikit-learn, Keras, MXNet; support MLOps pipelines for training and deployment

Optimize parallel applications using MPI and OpenMP; debug and scale distributed/shared memory workloads

Drive monitoring, logging, and alerting for cluster health, job efficiency, and resource utilization

Required Skills and Experience

High-Performance Computing

Hands on experience in managing HPC clusters with job scheduler, cluster management parallel programming libraries, and parallel filesystems.

Knowledge of resource scheduling and job optimization for efficient workload management

Infiniband (Networking)

Hands-on experience with high-throughput, low-latency interconnect technologies like Infiniband.

Ability to design, configure, and troubleshoot interconnects in HPC or distributed environments.

Operating Systems and Environments 

Administration and configuration of RHEL-based systems.

Performance tuning, package management, and security hardening.

Knowledge of Red Hat Satellite and Ansible for automation.

Job Scheduling with PBS Professional 

Experience in deploying and managing PBS Professional for scheduling and workload management in HPC environments.

Customizing job submission scripts and optimizing job queues.

Parallel Programming Libraries

MPI (Message Passing Interface) and OpenMP (Open Multi-Processing):

Proficiency in writing, debugging, and optimizing parallelized code.

Experience with scaling applications across HPC systems.

Understanding of distributed memory (MPI) and shared memory (OpenMP)

paradigms.

Cloud Platforms

AWS, Azure, Google Cloud:

Expertise in provisioning, configuring, and managing services on all three platforms.

Cross-platform migration and hybrid cloud solutions knowledge.

Proficiency in managing high-performance computing (HPC) clusters on the cloud.

Deep understanding of cost optimization, security, and cloud native development tools (e.g., Kubernetes, Terraform).

Infrastructure as Code (IaC) 

Ability to design, deploy, and maintain infrastructure using automation and configuration management tools.

CI/CD pipeline integration for IaC workflows.

GPU & AI Libraries and Tools 

Hands-on experience with container technologies.

Hands-on experience with TensorFlow, PyTorch, scikit-learn, Keras, or MXNet.

Familiarity with AI/ML pipelines, model training, and optimization.

Knowledge of MLOps tools for deploying and monitoring models

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

About the Position

We're always hiring software engineers for all of our offices. Technology is at the core of how we approach our work, and engineers are intimately involved in every area of the business. 

We are big believers in functional programming and use OCaml, a statically typed functional programming language, as our primary tool. More recently, Python has become a vital part of Jane Street’s research and trading work, acting as the go-to language for data analysis, visualization, and machine learning.

We also believe in the value of open source software, using it in our daily work and releasing over a million lines of our own code as open source.

About You

• Top-notch programming skills
• Deep experience with—and love for—technology. There's no specific checklist; we use software to approach a variety of problems, so we're interested in everything from machine learning to systems administration to programming language design
• Strong interpersonal skills. Software engineering at Jane Street is highly collaborative, and we are looking for people who can work effectively in small, close-knit teams
• We don’t expect you to have experience with functional programming, OCaml, Python, or finance; we’re happy to hire talented engineers and teach them what they need to know.
• Fluent in English

If you'd like to get an idea of what we cover in our software engineering interview process, you can visit our interview prep page.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

The Global Presales team

The Global Presales organization at Okta brings together a diverse group of experts, including Solutions Engineers, the Office of the Field CTO, Alliances, Architects and more, who combine deep technical expertise with strategic business insight. This team serves as trusted advisors to a wide range of customers and partners, helping them unlock the full potential of Okta’s Identity Platform. By asking insightful questions, understanding complex challenges, and delivering tailored solutions, we empower organizations to address their unique identity needs. Empathy, collaboration, and a relentless focus on customer success drive our work and set us apart.

The Alliance Solutions Engineer Opportunity

Okta believes in Partners and together with our technology, will help take Identity mainstream and consolidate our position as a Leader in the market.  Alliance Solutions Engineers are dedicated to growing Okta business through the Channel, working closely with Regional Alliance Managers, Sales Representatives, Marketing and Partner Enablement.  As an Alliance Solutions Engineer at Okta, you will build strong, long standing relationships with key Partners, Global System Integrators, Distributors and Technology Vendors.  You will become their trusted advisor for anything Identity and Access Management related and will help them understand how Okta can best fit in their Go-To-Market (GTM) Strategy, integrate with their current offerings, help evangelize partner solutions within the Okta field teams and lead our partners in building Okta practices that deliver exceptional customer outcomes.

What you’ll be doing 

• Build and manage technical relationships with assigned Partners and team with the assigned Okta Partner Account Team
• Drive incremental revenue through increased Okta solution sales with the support of Strategic Partners and their GTM strategies.
• Develop domain expertise and thought leadership regarding the Partners’ current areas of focus as well as in new areas for expansion
• Gather, track, and translate partner feedback to help steer the Okta product roadmap
• Deliver technical training sessions for Partners (demoing Okta features, explaining best practices and competitive differentiators)
• Field technical questions, inquiries and assist with Request for Information from the Partners
• Establish and maintain technical expertise on current and developing Okta products and technology
• Provide oversight, guidance, and assistance during the Partners sales process to ensure mutual success
• Up to 25% travel in support of Partner, Okta and industry events

How you’ll be measured

• Direct and influenced revenue growth
• Partner developed and driven GTM Solution Offering driven into the market / their customer base
• Partner enablement and resource certification growth

What you’ll bring to the role

• 5+ years pre-sales engineering experience.
• Experience with implementing Okta Workforce or Customer Identity
• An understanding of IAM / IDaaS competitive landscape
• Strong passion for Partners and knowledge of Channel business models
• Strong presentation and communication skills at a technical level
• A passion to serve the partner as our customer and ensure their success within their customer bases. 
• Experience with at least one standard network security protocol. (OAuth, OAuth2, SAML, LDAP, OIDC)
• Knowledge in one or more of the following areas: web (Javascript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Hands-on experience in cloud computing environments (AWS, GCP, Azure) 
• Confident dispensing knowledge to a highly skilled and experienced audience.
  
  

LI-Onsite

LI-MT1

(P9991_3343385)

Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.

The Role

Your role, first and foremost, is to help our customers solve their most important problems. As a Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper.

Who We're Looking For

What a day might look like

About the Role

We are looking for a Senior Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers our researchers and engineers to rapidly innovate on deep learning models for autonomous driving.

We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. As we evolve, in this role, you’ll spearhead high-impact initiatives: designing multi-cloud setups to maximize GPU availability, driving deep-level model optimization, and building next-generation Agentic AI toolings. You will play a pivotal role in ensuring our training ecosystem remains cutting-edge, resilient and highly efficient.

What You’ll Be Doing

• Architect Multi-Cloud Solutions: Explore, design, and implement multi-cloud architectures for our ML training platform to increase the availability, scalability, and resilience of high-performance compute resources (GPUs).
• System-Level ML Optimization: Partner closely with ML Researchers to profile and optimize distributed training jobs (PyTorch/DDP). Focus on resolving system-level bottlenecks—such as data loading (I/O), memory management, and network communication overhead—to maximize GPU utilization and training throughput.
• Build Agentic AI Tooling: Design, develop, and enhance Agentic AI tools and systems to automate workflows, streamline the ML lifecycle, and empower developer productivity.
• Scale Core Infrastructure: Drive the continuous development of our core ML infrastructure and existing CDE platform, leveraging Kubernetes to build robust, high-scale distributed solutions.
• Collaborate Cross-Functionally: Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development.
• Drive Engineering Excellence: Champion best practices in software engineering, system reliability, and code quality while mentoring junior engineers through high-level system design and code reviews.

What We’re Looking For

• BS or MS in Computer Science or related field
• 5+ years of professional experience in software engineering with strong foundations in distributed systems.
• Expertise with Python or Go or C++
• Solid experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes.
• Experience with the various stages of the ML development lifecycle
• Strong written and oral communication skills, with a track record of successfully taking ownership of infrastructure components and mentoring junior engineers.

Bonus Points

• Hands-on experience with ML model profiling and performance optimization for distributed training.
• Experience managing or working with high-performance compute resources (GPUs).
• Experience with ML frameworks such as PyTorch or Ray.
• Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools.

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on AI/ML workloads within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on AI/ML inference
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Deep expertise  with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Demonstrated experience with running large scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to AI/ML workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is $165,000 to $225,000 SGD. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

#LI-DNI

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on Kubernetes solutions within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Experience with running large-scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to Kubernetes clusters and workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

Role Summary and Impact 

We're on a mission to democratize AI across our analytics team, and we need a trailblazing leader to helm this effort. As the Data Analytics and BI lead, you'll develop and execute a strategy to enable our analytics team members with AI capabilities, empowering them to drive business growth and deliver exceptional client value.

Skills and Experience 

What you will do:

• Develop AI enablement strategy: Create a comprehensive plan to upskill and reskill our analytics team members with AI capabilities, aligning with business goals and objectives.
• Design and deliver AI training programs: Collaborate with internal stakeholders to design and deliver training programs that cover AI fundamentals, machine learning, and data science.
• Develop AI-powered tools and platforms: Lead the development of AI-powered tools and platforms that augment our analytics team's capabilities, driving efficiency, accuracy, and innovation.
• Foster a culture of AI adoption: Collaborate with cross-functional teams to promote AI adoption, provide guidance on AI best practices, and ensure seamless integration with existing workflows.
• Stay ahead of AI trends and advancements: Participate in industry conferences, research papers, and forums to maintain expertise and identify opportunities for innovation.

Role requirements:

• Education: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Experience: 10+ years of experience in AI engineering, with 5+ years in a leadership role.
• Technical expertise: Strong background in AI, machine learning, and software engineering, with experience in languages such as Python, Java, or C++.
• Knowledge of cloud-based AI platforms: Experience with cloud-based AI platforms such as Google Cloud AI Platform, Amazon SageMaker, or Microsoft Azure Machine Learning.
• Leadership skills: Proven track record of leading high-performing teams, with excellent communication, mentoring, and project management skills.
• Business acumen: Understanding of business operations, market trends, and the media industry.
• Please note the team will be prioritizing applicants who are already based in Singapore for this role.

Nice to have:

• Experience with media analytics: Familiarity with media measurement, data analytics, and advertising technology.
• Certifications in AI or machine learning: Certifications such as Certified Data Scientist or Certified Machine Learning Engineer.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. 

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. 

While we appreciate all applications received, only those candidates selected for an interview will be contacted.  

#LI-Promoted

Who We're Looking For

As a Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used.

You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.

With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.

This Role 

As a machine learning engineer, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.

You'll:

• Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments.
• Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence.
• Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.
• Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.
• Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure.
• Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site.
• Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX.

As an early member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader.

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! 

As a Backend Engineer for this venture, you will architect the digital backbone of our next-generation social platform. You'll design and build robust, scalable systems that power everything from seamless media delivery and real-time social interactions to our intelligent content discovery engine. Your day will involve rapidly shipping MVPs for our Creator and Content Operation platforms, ensuring our internal tools are as powerful as our user-facing app. You will drive the technical direction of our platform by collaborating with product managers and AI engineers to translate ambitious ideas into scalable architecture.

【The Impact You'll Make】

• Build Creator & Ops Platforms: Design and own the high-velocity services that power our creator ecosystem and internal content operation tools.

• Design and Build Core Services: Architect and develop fundamental backend services and APIs that support content delivery, user interactions, and real-time engagement.

• Develop Scalable Systems: Build and optimize large-scale distributed systems for media processing, storage, and high-concurrency content distribution.

• Architect Data Infrastructure: Design our data infrastructure to support real-time analytics and empower machine learning recommendation systems.

• Ensure Platform Integrity: Implement robust content ecosystem and safety mechanisms to maintain platform health and user trust.

• Enable Real-time Engagement: Create scalable real-time services for social features including messaging, notifications, and live interactions.

【Who You Are】

• 3+ years of backend development experience with a strong track record of building and scaling distributed systems in a fast-paced environment.

• Generalist Mindset: Deep proficiency in at least one major backend language (Go, Java, or Python) and the adaptability to pick up new tools as the product evolves.

• Fast Builder: You thrive on shipping early versions of a product quickly and are comfortable prioritizing "speed-to-market" over rigid big-company processes.

• Product-Focused: Experience building B2B or B2C service applications; you prefer solving user-facing problems rather than purely low-level infrastructure.

• System Design Expert: Strong experience with relational/NoSQL databases, message queues, and caching systems (Redis, Kafka, Postgres, etc.).

• Collaborative & Scrappy: Proven ability to work in a startup setting where you own features from design to launch, supported by an internal Ops/Infra team.

• Solid Fundamentals: Deep understanding of data structures, algorithms, and how to design high-traffic backend services.

【Bonus Qualifications】

• Experience with media streaming protocols or processing pipelines.

• Knowledge of recommendation systems or machine learning infrastructure.

• Background in real-time communication technologies.

• Previous experience building social platforms or content-driven products.

【Why Join This Venture】

This is a startup within a proven industry leader. You'll get the ideal combination of a startup's autonomy, impact, and velocity with the resources, stability, and expertise of AppLovin. As a founding engineer, you'll have unparalleled ownership over our technical architecture and the opportunity to build systems from the ground up that will serve millions of users. You'll work with cutting-edge technologies while solving unique challenges in social networking and AI-driven content discovery. Join our small, mission-driven team and help create the next growth story from scratch.

AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles.  We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions.

 

AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.

 

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com.

 

AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.  If you’re applying for a position in California, learn more here.

 

To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.

---

Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information. 

 

 

 

 

             

Mission Summary

The Data Platform team is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the core services and infrastructure necessary to transform petabytes of raw data each month into actionable insights for our Machine Learning and Autonomy engineers. This role is a key contributor across our core initiatives:

• Data Processing: We are building state-of-the-art infrastructure to meet the demands of our rapidly scaling fleet and sophisticated ML engineering requirements. You will be responsible for ensuring that our core data pipelines are robustly engineered—meaning they are performant, user-friendly, and highly fault-tolerant.
• Data Discovery: we are building a platform that combines cataloging data for search needs across our metadata stores, vector datastores, and various data warehouses to super charge our ML pipelines. You would be coming in and working with ML and autonomy stakeholders to build out this new discovery platform. 
• Data Lineage: we are getting started with building our data lineage system that will track the usage of all data at Motional. You would work with our stakeholders to ensure our system is widely adopted and address customer pain points.

What You'll Be Doing

• Play a key role in designing and building the next generation of data infrastructure.
• Build scalable backend services for data discovery and data lineage systems.
• Write high quality, maintainable code to process petabytes of data 
• Lead and champion high-level system design and quality code reviews/technical contributions.
• Design, build, and maintain scalable data processing and access with cloud ETL technology.

What We're Looking For

• 3+ years of professional experience as a data engineer or data pipeline engineer
• BS or MS in Computer Science or related field
• Strong development experience with Python and SQL.
• Expertise with AWS services and solutions (EKS, Lambda, ETL) 
• Experience with distributed system design and development
• Comfortable working in a fast-paced, continuous delivery environment

Bonus Points (not required): 

• Experience with Infrastructure Monitoring
• Experience working in cross-functional development teams 
• Prior experience with agentic workflows is a plus.
• Prior experience in autonomous vehicles (AV) is a plus.

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:

• Contribute to the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
• Connect and drive business impact through technology solutions
• Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
• Optimize perception algorithms for real-time performance on embedded hardware
• Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
• Productionize and deploy solutions onto autonomous vehicle fleets
• Derive good insight from large data sets from a variety of sources
• Mentor and guide junior engineers on the team

What We're Looking For:

• Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Excellent communication and interpersonal skills
• Experience mentoring and leading others

Preferred, but not required:

• Strong programming skills in C++ and/or CUDA programming
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Experience with launching ML products from ideation
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
• Experience in deploying models into real-world environments

Job Summary:
Join our innovative Calibration team as a Senior Engineer and play a key role in bringing self-driving vehicles to life. You'll work with world-class engineers and leading experts, focusing on calibrating all autonomous vehicle sensors—Lidar, cameras, IMUs, and radars—to build the foundation of our autonomy stack.

What you’ll be doing:

• Develop and implement advanced calibration applications (both indoors and outdoors) for autonomous vehicle systems, pushing the boundaries of performance and safety
• Collaborate with different teams to integrate calibration solutions into our vehicles, ensuring top-tier quality and reliability.
• Utilize extensive internal datasets to validate and demonstrate your research and development effectively.

What we are looking for:

• Bachelor's degree in Computer Science, Robotics, or a related field. A Master’s or Ph.D. is preferred
• 3+ years of specialized experience in calibration, localization, or SLAM for autonomous vehicles, augmented reality headsets, or robotic systems, with a strong record of designing and executing advanced calibration strategies.
• 3+ years of C++ software development proficiency, with a focus on building high-performance and resilient systems.
• Past experience owning and leading technical development from problem conceptualization through research, implementation, and successful production deployment.
  Past experience working with multiple sensors (LiDARs, Radars, IMU, Cameras).
• Thirst for knowledge, continuous innovation, and a drive to push the boundaries of autonomous driving technology.
• Experience mentoring and collaborating with others

Bonus Points:

• Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICLR, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles or related fields

Mission Summary:

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists to make self-driving vehicles a reality. The Perception Platform team is central to this mission, operating at the intersection of ML Infrastructure and Perception. We build the foundational frameworks, evaluation pipelines, and tooling that enable our Perception team to scale their work on the tech stack responsible for perceiving the dynamic world around our robo-taxi.

These foundational systems include our large-scale data pipelines,  which are critical for efficient end-to-end ML development (e.g. data transformation, model training, and model evaluation) of our on-car and off-car Perception solutions. It also includes our evaluation and visualization tools, which provide intuitive insights into dataset distributions, model behavior, system performance, and edge-case scenarios. Finally, our active learning loop which continuously selects and incorporates high-value data to improve model accuracy and robustness over time.

What you’ll be doing: 

• Build, lead and manage a high-performing team in the creation, maintenance, and optimization of our internal data, training, and evaluation pipelines specific to perception modelling team.
• Provide technical guidance, mentorship, and career development opportunities to team members
• Define team goals, priorities, and roadmap in alignment with company objectives
• Work closely with ML engineers to proactively identify and resolve technical challenges , while also contributing directly to the implementation of those improvements. This includes troubleshooting and optimizing machine learning workflows for maximum efficiency and performance, architecting and executing cutting-edge technologies/methodologies for accelerating ML development end-to-end from concept to deployment & maintenance.
• Lead design and code reviews, setting a high bar for quality and ensuring the adoption of best practices.
• Foster cross-functional collaboration ensuring alignment with broader organizational goals.

What We’re Looking for:

• 7+ years of professional software engineering experience, with at least 3+ years in a formal or informal leadership or mentorship role.
• BS or MS in Computer Science or a related technical field.
• A passion for remaining hands-on and a proven ability to contribute high-quality, production-level code to a shared codebase.
• Fluency in Python and familiarity with data processing libraries (e.g., NumPy, Pandas)
• Proven experience in backend development and leading the architecture of complex systems.
• A deep understanding of ML or Perception topics to strategically guide pipelines/tooling.
• Demonstrated experience in designing and delivering data visualization tools or internal engineering dashboards that drive insights and action.
• Expert knowledge of software engineering principles, with a track record of leading teams in software design, source control management, build processes, code reviews, and testing methods.
• Excellent communication and interpersonal skills, with the ability to articulate a technical vision and motivate a team

Bonus Points:

• Expertise in concurrency, parallel processing, and database systems to inform architectural decisions.
• Experience with distributed computing frameworks like K8s and Ray.
• A proven track record of developing and deploying Perception systems for autonomous vehicles or robotics.
• A Ph.D. in a relevant field, or equivalent industry experience that demonstrates a commitment to continuous learning.
• Proficiency in modern C++ (C++14/17 or later)
• Experience with building products with current LLMs and MCP protocols.
• Experience with GPU-accelerated data processing.
• Familiarity with Pytorch, TensorFlow or other modern ML development platform
• Experience in project management and a history of successfully delivering complex technical projects.

On our Map Semantics team, you will have the opportunity to work with world-class machine learning (ML) engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The team develops ML models that detect fixed, semantic objects in multi-modal data, enabling mapping and real-time localization.  These objects include lane lines, stoplights, traffic signs and other structures in the built environment.  We are looking for proven technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You’ll Be Doing:

• Define and execute projects focused on scene understanding to geometrically represent the environment. These representations will enhance the efficiency of our self-driving vehicle’s capability to map roadways and localize itself using both autonomous vehicle and remote sensing data.
• Develop machine learning models to reliably and efficiently detect the built environment using single or multi-modal sensor data including vision, LIDAR, and RADAR
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with localization, mapping and perception teams to improve  your products’ on-road performance

What We’re Looking for:

• Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
• 7+ years of professional software engineering experience.
• Solid experience in real time 3D Object Detection, Semantic Segmentation or Scene element detection
  Experience working with large scale multi-modal datasets. 
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Fluency in Python, including standard scientific computing libraries
• Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
• Extensive experience in metrics design and metrics driven technology development 
• Excellent communication and interpersonal skills

Bonus Points:

• Familiarity with multi-view geometry, factor graph optimization / bundle adjustment
• Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
• Remote sensing experience including geospatial coordinate frames, object detection, RPC camera models
• Experience with change detection and updating maps based on newly collected data
• Experience with un/self/semi/weakly-supervised learning techniques
• Strong programming skills in C++ 
• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, WACV, AAAI, ICL, etc.)

【The Role】

We are looking for a Machine Learning Engineer with strong experience in large-scale recommendation systems to help build the next-generation social media platform.

You will own critical components of our recommendation stack — including recall, ranking, CTR modeling, and multi-objective optimization — with the goal of driving retention, engagement, and long-term ecosystem growth.

【A Day in the Life】

• Design and deploy scalable recommendation pipelines 
• Develop and optimize CTR/CVR prediction models
• Improve multi-objective ranking strategies (retention, monetization, diversity, long-term value)
• Tackle cold-start challenges for new users and new content
• Run offline experiments and online A/B testing to drive measurable gains
• Collaborate closely with product, engineering, and monetization teams
• Continuously iterate on model performance, latency, and system reliability

【The Impact You’ll Make】

• Improve user retention through intelligent content recommendation
• Drive measurable lift in engagement and monetization metrics
• Build core ranking mechanics beyond incremental model tuning
• Shape the foundation of a scalable, long-term content ecosystem

【Who You Are】

• 3–5 years of experience building production-grade ML systems
• Strong hands-on experience in recommendation systems
• Experience in one or more:
• Recall systems / candidate generation
• Ranking models
• CTR prediction
• Multi-task or multi-objective optimization
• Proficient in Python and ML frameworks (PyTorch, TensorFlow, etc.)
• Strong software engineering fundamentals
• Experience with large-scale data systems and distributed training is a plus
• Experience improving retention or long-term user value is highly valued

【Why Join This Venture】

• Build 0-to-1 systems inside a proven AI powerhouse
• High ownership and direct business impact
• Startup speed with AppLovin-level scale and resources
• Opportunity to shape a new growth engine for the company

AppLovin has become aware of a scam targeting jobseekers with fake “app optimization” and similar roles.  We do not ask our candidates to download apps or make any form of payment(s). AppLovin works with applicants through our Careers page and applovin.com email addresses. If you are contacted through other unofficial channels (such as WhatsApp or Telegram) or asked to download an app or make a payment, these contacts are not legitimate. Confirm the information here and contact us directly with any questions.

 

AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.

 

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at accommodations@applovin.com.

 

AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.  If you’re applying for a position in California, learn more here.

 

To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.

---

Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information. 

 

 

 

 

             

You will join the Workato AI Lab, which partners with industry leaders, public sector organizations, and academic institutions to build real-world AI solutions. Join our multidisciplinary team as we pioneer next-generation AI innovation for Asia’s top enterprises. From driving agentic orchestration to building robust AI governance frameworks, your work will shape the future of intelligent automation for leading organizations across the region.

We seek an exceptional Senior Go Engineer to join the Workato Genie team. In this role, you will be responsible for developing mission-critical features and services for the Workato platform, including AI chatbot dispatching and balancing synchronous and asynchronous AI execution. You will also be accountable to:

• Build high-performance gateways and routing components
• Build server-side infrastructure for logging and monitoring
• Work closely with Infra and SRE teams to ensure high availability and scalability requirements are addressed
• Collaborate closely with the AI team to design and implement innovative features for a new AI assistant, ensuring cutting-edge performance and user experience. 
• Contribute at all phases of the development lifecycle
• Write well-designed, testable, efficient code
• Evaluate and propose improvements to the existing system
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

Qualifications / Experience / Technical Skills

• BS/MS degree in Computer Science, Engineering, or a related subject
• 8+ years of industry experience
• Strong experience with Go language at backend (4+ years)
• Excellent debugging, analytical, problem-solving, and social skills
• Good understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc.
• Experience with building and scaling distributed, highly available systems
• Experience in Ruby on Rails is a plus
• Contributions to open-source projects are a big plus
• Understanding of possible bottlenecks in a code and a solution in general
• At least basic knowledge of Kubernetes concepts and configuration

Optional Requirements

• Experience with Docker and other isolation technologies
• Experience with Redis-based caching
• Experience with public cloud infrastructure providers (AWS/Azure/Google Cloud)
• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc)
• Experience with third-party REST APIs at scale (request throttling, batch processing, etc)

Soft Skills / Personal Characteristics

• Readiness to work remotely with teams distributed across the world and timezones
• Spoken English (at a level enough to pass technical interviews and work with colleagues)
• Open to new technologies and willing to experiment
• Full-cycle product feature delivery mindset (from design to production and maintenance).

Job Req ID: 2423

Responsibilities

We are looking for an experienced and exceptional AI / ML Engineer (Voice Agents) to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. If building AI products from zero to one that scales to serve millions of users from first principles of AI and engineering, you are at the right place. We are building organization-aligned agents that are consistent at scale from the ground up and looking for passionate builders who are rooted in foundational AI knowledge to reimagine the agent control and data plane. 

You will be working on the AgentX Apps, Please click on the link for more details.

As part of this role you will:

• Design and implement advanced AI/ML systems with a focus on SLMs, LLMs, AI Agents, and Search architectures.
  
  
• Build conversational AI interfaces that handle multi-turn low latency chat/voice customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.
  
  
• Build production-grade AI pipelines for data processing, model training, fine-tuning, benchmarking (dual-control, fluid model etc.) and serving at scale.
  
  
• Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, LLM evaluations, human evaluations and conversation outcomes to improve model performance over time. Reinforce organizational policies based on knowledge bases, conversational data and memory systems.
  
  
• Create AI based analytics dashboards and reporting tools to track automation effectiveness, tracing for identifying bottlenecks, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Quality assurance, management to get actionable insights from customer conversations and create evals for the current generation agents.
  
  
• Lead technical initiatives for AI system integration into existing products and services.
  
  
• Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.
  
  
• 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).
  
  
• Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using SLMs, LLMs (commercial, open-source models).
  
  
• Demonstrated strong foundational understanding and appreciate first principles thinking in ML, NLP (transformer based models).
  
  
• Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, dialogue state tracking and conversation flow management for building a reliable framework for context engineering.
  
  
• Expertise in tuning streaming ASR and TTS engines, Speech to Speech models for context and domain aware transcriptions and naturalness in voice.
  
  
• Expertise in conversation mining for identifying customer intents, root cause analysis, sentiment, resolution, policy adherence for not just auditing but truly understanding conversations for business outcomes across large enterprise scale.
  
  
• Expertise in working with use case based SLMs for realtime agent coaching and recommendations.

• Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.

• Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.
  
  
• Deep knowledge of REST API design, Pub-Sub architectures and integration patterns.
  
  
• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases (added advantage but not necessary skill)
  
  
• Strong understanding of software architecture, scalability, security, and system design.
  
  
• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.
  
  
• Experience with A/B testing and experimentation frameworks.

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts
  
  
• Collaborative mindset for cross-functional team work
  
  
• Detail-oriented with strong focus on quality
  
  
• Self-motivated and able to work independently
  
  
• Passion for solving complex search problems
  
  

Job Req ID: 2455

Responsibilities

We are seeking an Senior AI Applications Engineer (Full Stack) to lead the development of cutting-edge AI-powered applications. In this role, you’ll work across the stack—building robust Python-based backends, developing intuitive frontends in React, and architecting scalable systems that handle high-throughput data and real-time AI model integration.

This is a hands-on technical lead position for someone passionate about building production-ready AI products that are fast, secure, and user-friendly.

• Design and develop full stack AI applications, integrating powerful AI models with seamless front-end user experiences.

• Build scalable, production-grade backend services and REST APIs using Python.

• Develop clean, performant, and reusable React.js components for modern web interfaces.

• Architect efficient and secure data workflows, leveraging PostgreSQL for transactional data and ClickHouse for analytics and high-performance querying.

• Collaborate closely with AI/ML engineers, product managers, and DevOps to bring models to life in real-world applications.

• Lead architecture discussions and set engineering best practices across the stack.

• Optimize application performance, scalability, and reliability across backend and frontend systems.

• Mentor junior developers and contribute to a culture of engineering excellence.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, related field, or equivalent practical experience. We value both traditional education and self-taught expertise.

• 5+ years of professional software development experience, with significant exposure to both frontend and backend technologies.

• Expertise in Python, with a strong understanding of building APIs, microservices, and data pipelines.

• Proven experience developing production-ready frontend applications using React.js (or similar frameworks).

• Deep knowledge of REST API design and integration patterns.

• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases.

• Familiarity with integrating AI/ML models into applications (directly or via APIs).

• Strong understanding of software architecture, scalability, security, and system design.

• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.

Soft Skills / Personal Characteristics

• Excellent verbal and written communication skills; able to clearly articulate technical ideas and trade-offs.

• Strong sense of ownership, accountability, and leadership.

• Passion for AI and delivering impactful, data-driven software solutions.

• Comfortable working in a fast-paced, collaborative, and iterative environment.

• Willingness to mentor others and help raise the overall bar for engineering quality.

(REQ ID: 2456)

Revolutionize the future of autonomous driving with us. We are seeking a talented Senior Frontend Software Engineer to join our Map Creator team. The successful candidate will be integral to the development of a cutting-edge, web-based semantic map annotation editor for our autonomous vehicles. This role involves managing massive-scale map data, by ensuring it can be edited, validated, and visualized, while maintaining great performance.  Furthermore, you will also take part in automating map generation processes and designing efficient user workflows to drive operational profitability. Your contributions will directly shape the future of transportation.

If you're passionate about building impactful, user-friendly solutions and thrive in a collaborative, innovative environment, this is the opportunity you've been waiting for.

What you'll tackle:

• Design, build, document, test, and maintain our web-based map editors and 3D visualizations, ensuring they handle massive datasets with ease.
• Craft clean, maintainable code that sets the standard for best practices across the team.
• Monitor, support, and resolve issues as they arise.
• Optimize web applications for peak performance, making sure our tools can handle terabytes of map data visualization, validation, and editing.
• Take ownership of projects, driving innovation and process improvements that elevate our entire workflow.
• Work hand-in-hand with Machine Learning teams to integrate automations, pushing the boundaries of what's possible in map annotation.
• Collaborate with diverse international teams to develop cutting-edge map solutions that meet the evolving needs of our researchers and engineers.
• Harness cutting-edge AI tools to supercharge your daily workflow, and actively contribute to integrating agentic AI capabilities directly into our development lifecycle.

Join our team if you:

• Possess a minimum of 5 years of experience as a frontend software engineer.
• Are a Typescript maestro and a React rockstar.
• Have a knack for UI/UX design, making complex tools intuitive and delightful.
• Write great design docs that clearly articulate technical proposals, architectural decisions, and implementation details for our mapping solutions.
• Have a rock-solid grasp of engineering fundamentals, such as observability, concurrency, parallelization, frontend architecture, and design patterns.
• Top-notch performance optimization skills.
• Love solving complex problems and are always eager to learn something new.
• Can bridge the gap between technical and non-technical international folks with your stellar communication skills.

Bonus points if you:

• Bring hands-on experience with geospatial data and modern mapping systems.
• Experience with 3D visualization libraries such as Three.js or DeckGL, or direct experience with WebGL and WebGPU.

Why This Role?

This isn’t just another web app—it’s a rare, genuinely fun frontend opportunity to build highly interactive, 2D/3D editing tools that shape the physical world. You will join a closely integrated, innovative team that is advancing autonomous driving technology to new levels. Your work will fuel the tools powering our AVs, streamline workflows, automate the complex stuff, and support our researchers and engineers as they redefine what’s possible.

Mission Summary:

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

What you'll be doing:

• Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
• Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
• Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
• Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.
  
  

What we're looking for:

• Education: Bachelor’s, Master’s degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
• Software Engineering: Strong proficiency in Python.
• ML Frameworks: Extensive hands-on experience with PyTorch.
• ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
• Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

Mission Summary:

We are seeking an experienced and visionary Principle Level Tech Lead Manager to build and lead our new Machine Learning (ML) Acceleration team. This pivotal role will drive the strategy, development, and execution of initiatives aimed at significantly accelerating ML model training. The ultimate goal is to drastically reduce the development cycle for new ML models and enable rapid hot-patching for issues within our deployed autonomous vehicle services.

You will be a hands-on leader, blending deep technical expertise in ML systems and performance optimization with strong leadership and people management skills. You will recruit, mentor, and grow a high-performing team of engineers, fostering a culture of innovation, collaboration, and continuous improvement.

What you'll be doing:

• Team Leadership & Management:
• Build, lead, and manage a high-performing team of ML and infra engineers focused on acceleration.
• Provide technical guidance, mentorship, and career development opportunities to team members.
• Foster a collaborative and inclusive team environment.
• Define team goals, priorities, and roadmap in alignment with company objectives.
  
  
• Technical Strategy & Execution:
• Define the technical vision and strategy for ML acceleration across the organization.
• Identify and evaluate cutting-edge technologies and methodologies for speeding up ML training, including but not limited to data pipeline optimization, large scale distributed training, data loader optimization, hardware acceleration, and model optimization techniques.
• Design, develop, and implement scalable and efficient ML acceleration solutions.
  
  
• Cross-functional Collaboration:
• Collaborate closely with ML research, ML Training platform, and product teams to understand their needs and integrate acceleration solutions seamlessly.
• Communicate complex technical concepts and strategies to both technical and non-technical stakeholders.
• Act as a technical expert and advocate for ML acceleration initiatives across the company.
  
  
• Impact & Measurement:
• Regularly measure and report on the impact of acceleration efforts.
• Continuously seek opportunities for further optimization and innovation.
  
  

What we're looking for:

• Experience:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• 8+ years of experience in software engineering, with at least 5+ years focused on Machine Learning systems and model performance optimization.
• 3+ years of experience in a technical lead or management role, with a proven track record of building and leading high-performing teams.
• Extensive experience with large-scale ML model training and deployment, ideally in a production environment.
• Strong understanding of distributed systems and cloud computing platforms (e.g., AWS, GCP, Azure).
  
  
• Technical Skills:
• Deep expertise in ML frameworks such as PyTorch or JAX.
• Proficiency in performance profiling and optimization techniques for Deep Neural Networks.
• Strong programming skills in Python; C++ experience is a plus.
• Knowledge of MLOps principles and practices.
  
  
• Leadership Skills:
• Exceptional leadership, communication, and interpersonal skills.
• Ability to attract, hire, and retain top engineering talent.
• Proven ability to drive complex technical projects from conception to completion.
• Strong problem-solving skills and a proactive, results-oriented mindset.
• Ability to thrive in a fast-paced, dynamic environment.

As part of our mapping team, you'll collaborate with world-class experts in mapping, software engineering, and machine learning to build cutting-edge, next-generation mapping systems. We’re leveraging the latest technologies to lead the industry in mapping innovation, and we’re seeking passionate engineers who are excited about mapping, autonomous vehicles, and tackling intellectual challenges. This is an exceptional opportunity to contribute to the growth of a company at the forefront of the autonomous vehicle revolution.

What You’ll Be Doing:

• Tackle complex challenges in large-scale mapping by applying state-of-the-art methods and technologies.
• Develop high-quality, scalable software using Python, C++, and other advanced technologies.
• Work with large-scale, diverse data from various sources, including vehicle sensors and geospatial data.
• Mentor and support software engineers and domain experts, fostering their professional growth.
• Collaborate with cross-functional teams, including both technical and non-technical stakeholders, on challenging and impactful projects.

What We Are Looking For:

• Master’s or PhD in Computer Science, Robotics, or a related field.
• 5+ years of experience in state estimation and SLAM
• Deep experience with C++ or Python
• Strong foundation in nonlinear optimization and numerical linear algebra.
• Excellent communication and collaboration skills to work across teams of researchers and engineers.
• A passion for problem-solving and a keen ability to learn and adapt.

Bonus Points (not required, but a plus):

• Experience applying machine learning techniques to mapping or geospatial problems.
• Familiarity with distributed computing and cloud systems.

On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What you’ll be doing:

• Productionize and deploy our perception models into edge devices 
• Develop and optimize GPU-accelerated algorithms using CUDA
• Develop advanced post-processing and classical vision algorithms
• Drive performance optimization at system level (latency, throughput, memory, determinism)
• Drive code quality through reviews, testing strategies, and performance benchmarks
• Collaborate deeply with ML engineers to:
  • Improve model robustness and deployment readiness
  • Influence training objectives based on downstream system needs
  • Debug and resolve model–system integration issues

What We’re Looking for:

• Bachelor’s Degree. Preferably Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• Minimum 3 years of professional experience and strong proficiency in modern C++ (C++14/17 or later)
• Hands-on experience with CUDA and GPU performance optimization
• Deep understanding of modern and classical computer vision and image processing techniques
• Experience with performance profiling and debugging tools (e.g., Nsight, Valgrind, perf)
• Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods

On our Behaviors team, you have the opportunity to work with world-class ML engineers and research scientists whose mission is to make self-driving vehicles a reality and to create positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users. We are looking for engineers who are passionate about autonomous driving, excited by intellectual challenges,  and interested in pursuing career growth with a fast-growing company.

What You’ll Be Doing:  

You drive project-level impact to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. Daily, you will:

Senior Engineer:

• Prototype, evaluate, implement, and iterate on solutions
• Familiar with state of the art solutions and systems for autonomous vehicles
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with team members to achieve project goals and milestones

Staff Engineer:

• Define and influence the direction of the team, organization, and/or department.
• Advise leaders on technology problems and solutions
• Connect and drive business impact through technology solutions 
• Formulate problems, architect solutions, and design processes
• Prototype, evaluate, implement, and iterate on solutions
• Pioneer research into state of the art solutions and systems for autonomous vehicles
• Productionize and deploy solutions onto autonomous vehicle fleets
• Mentor and grow junior and experienced engineers and researchers
• Help create and reinforce a culture of inclusion, innovation, and excellence

What We’re Looking For:

• BA, Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
• In-depth understanding of common Machine Learning and Deep Learning algorithms
• Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking
• Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods 
• Fluency in Python, including standard scientific computing libraries and Python bindings development experience
• Experience with PyTorch or other deep learning frameworks
• Experience working with large data sets and deriving insights from data

Senior Engineer:

• Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome
• Experience mentoring and collaborating with others

Staff Engineer:

• Effectiveness at leading and executing large, complex technical initiatives 
• Strong track record of tackling ambiguous problems, creating clarity from it, and driving it to successful outcomes

Bonus Points:

• Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICLR, etc.)
• PhD in machine learning, computer vision, or robotics vision
• Experience working on autonomous vehicles, or related fields
• Experience in deploying models into real-world environments
• Strong programming skills in C++ and/or CUDA programming

About the Position

We’re looking for Software Engineers who want to help us design and build the systems and tools that run the firm. You’ll find Software Engineers in all parts of Jane Street, solving real problems in critical areas ranging from trading desks to our accounting team, as well as building foundational infrastructure, whether that means implementing network monitoring or risk models. 

We are big believers in functional programming and, using OCaml, a statically -typed functional programming language, as our primary tool. More recently, Python has become a vital part of Jane Street’s research and trading work, acting as the go-to language for data analysis, visualization, and machine learning. 

Beyond our own environment, we also recognize the value of open source software, leveraging it in our daily work and releasing over a million lines of our own code as open source. We’re also always looking for ways to expand open source projects, and provide ongoing support to things like Mercurial, the OCaml compiler, and the OPAM package manager. That said, we’re interested in talented engineers with experience in any language—most of us came in with little to no practical experience in OCaml before we joined.

If you’d like to learn more, you can read about our interview process and meet some of our newest hires.

About You

We don’t expect you to have a background in functional programming, OCaml, Python, finance, or any other specific field—we’re looking for smart programmers who enjoy solving interesting problems. We’re more interested in how you think and learn than what you currently know. You should be:

• A top-notch programmer with a love for technology
• Intellectually curious, collaborative, and eager to learn
• Humble and unafraid to ask questions and admit mistakes

If you'd like to get an idea of what we cover in our software engineering interview process, you can visit our interview prep page.

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

About the Position

We are looking for a Senior Network Engineer who can help us scale our networks to meet increasing business demands, drive standardisation through automation and look for opportunities to leverage AI to improve operations.

Jane Street’s numerous distributed systems run on a multi-vendor, highly available network infrastructure and handle a variety of traffic profiles – from high-speed trading to everyday internet connectivity. A typical day on the Network Engineering team includes:

• Collaborating on new data centre and colocation initiatives, WAN routing optimisation and other cross-team design projects
• Interfacing with stakeholders to assess business needs and develop innovative network features/capabilities
• Leading both reactive support tasks and proactive infrastructure improvements, focusing on thorough documentation to reduce outages and enhance troubleshooting
• Exploring AI/ML-driven enhancements to streamline operations and continuously improve service quality Using your networking expertise to help us scale our team’s infrastructure at large while maintaining high standards for network performance and reliability
• Documenting solutions and processes that help the team work more efficiently, using a meticulous attention to detail

If you have a passion for innovating within a complex network ecosystem, enjoy building scalable systems and documentation structures and are curious about how AI can refine network operations, this role provides a platform to make a significant impact at Jane Street. We look forward to learning from your expertise and unique perspective.

About You

• Have 7+ years of experience operating and deploying network infrastructure, with 3+ years dedicated to ground-up network design
• Have deep experience with routing and network protocols (OSPF, BGP, PIM-SM) and the troubleshooting of transport protocols (TCP/UDP)
• Comfortable operating in Linux environments and proficient in at least one programming language
• Strongly inclined to automate workflows and explore AI/ML approaches to improve efficiency or reduce overhead
• Eager to produce comprehensive, scalable documentation that benefits the entire team
• Have a demonstrated ability to balance multiple priorities, switch contexts effectively and maintain a high level of customer service
• Excellent collaborator and communicator; ready to build strong partnerships with diverse global teams and stakeholders to share your recommendations, issues and outcomes 
• Have a flexible, reliable mindset and enthusiasm for sharing knowledge with peers
• Any prior exposure to overlay networks (EVPN, VXLAN) is a plus
• Fluent in English

If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.

Who We’re Looking For

This Role

About WPP Media  

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.   

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.  

For more information, visit wppmedia.com. 

 Role Summary and Impact 

The Media Futures Group AI Squad is a small, agile, and autonomous innovation team dedicated to charting the course for AI transformation across APAC for one of WPP’s most important and strategic global technology clients. 
 
By seamlessly integrating AI across media, creative, and production, this cross-functional squad delivers cutting-edge innovation and pioneering work to deliver more effective and efficient business outcomes. 
 
The team’s mission is to solve specific business challenges by delivering demonstrable proof of AI-enabled marketing improvements, providing strategic guideposts for the broader organization. 
 
Utilizing best-in-class tools like WPP Open and Gemini, you will innovate and deliver award-winning creative ideas while building, testing, and scaling solutions that enhance effectiveness, efficiency, and execution for our clients. 

 The AI Solutions Engineer serves as the master builder executing the construction. This highly technical role provides the dedicated, hands-on development support required to forcefully move theoretical architectural visions out of isolated testing environments and into highly secure, Google-approved, enterprise-grade production infrastructures. The AI Solutions Engineer bridges the critical, often perilous gap between a fragile, locally hosted prototype and a highly scalable, robust organizational tool capable of withstanding massive global traffic. 

Responsibilities 

• API & UI Development: Construct complex backend Application Programming Interface (API) connections and develop the secure user interfaces absolutely necessary to bridge the proprietary WPP Open platform with localized campaign tools and highly guarded client data lakes. 

• Live Deployment & Debugging: Execute rapid debugging, performance analysis, and troubleshooting of both machine learning models and underlying cloud infrastructure in real-time to prevent catastrophic performance degradation or service outages during live campaign sprints. 

• Security & Compliance: Strictly document the deployed technical architecture upon the conclusion of active campaigns. Solidify security protocols and data pipelines to ensure absolute compliance with enterprise risk standards and global data privacy regulations. 

• Codebase Handover: Facilitate the seamless handover of the finalized codebase to centralized, operations-driven technology teams, ensuring pristine code quality, proper containerization, and long-term deployment readiness. 

Skills and Experience 

• A minimum of 5 years of applied experience in software engineering, highly technical support, or complex solutions engineering. 

• At least 2 years focused exclusively on deploying machine learning (ML) or natural language processing (NLP) applications in live commercial environments. 

• Exceptional coding and scripting capabilities, primarily utilizing Python, Java, C++, or Go. 

• Deep, academic understanding of data structures, complex algorithms, and object-oriented software design principles. 

• Proven, hands-on experience troubleshooting, debugging, and reproducing obscure issues within advanced machine learning frameworks, specifically TensorFlow, Keras, and PyTorch. 

• Extensive operational experience navigating public cloud services, specifically Google Cloud Platform (GCP) components such as Kubernetes, Compute Engine, and Apache Beam. 

• Thorough understanding of computer networking, peering with private clouds, managing highly distributed systems, and Git version control. 

Key Competencies 

• Vertex MLOps & Cloud Infrastructure Deployment: Capable of establishing robust, automated machine learning pipelines using Vertex AI Pipelines and Google Cloud Platform components like Kubernetes and Compute Engine. Must ensure that generative AI tools are properly containerized to scale securely and withstand massive global traffic during live campaigns. 

• Vertex AI Mastery: Deep, hands-on proficiency with Google Cloud's Vertex AI platform as the exclusive, mandated environment for model deployment. Capable of navigating the Vertex Model Garden, configuring foundational models (like Gemini), and executing parameter-efficient fine-tuning for specific campaign needs 

• Secure RAG & Grounding Pipeline Engineering: Expert ability to build complex Retrieval-Augmented Generation (RAG) architectures within Vertex AI. Must demonstrate high technical acumen in securely connecting generative models to highly guarded, proprietary enterprise data lakes and Customer Data Platforms without exposing PII or violating data governance. 

• Rapid Problem-Solving: Ability to diagnose and repair code-level pipeline failures or UI breakdowns under the extreme pressure of a live campaign sprint. 

• Extreme Psychological Resilience: Thriving in highly volatile, fast-paced deployment environments where prototype code must be hardened instantly. 

Life at WPP Media & Benefits  

Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising.  

We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.    

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  

Please note that while our philosophy is the same across WPP, benefits may vary by office/country. 

#LI-Regional

The Role

We are seeking a talented and motivated Quantitative Researcher to join our dynamic systematic trading team. The ideal candidate will have a strong background in software development, a passion for technology, and a keen interest in the financial industry. You will work closely with our quantitative PMs, developers, and fellow researchers to develop and maintain high-performance trading systems and tools.

Key Responsibilities 

1. Engineer predictive features from high-frequency market data and unstructured alternative datasets for machine learning (ML) models. 
2. Develop research pipelines on a distributed compute cluster for tree-based models, deep learning, NLP/LLM, and related ML models. 
3. Design and prototype ML-driven alphas for cash equities, futures, and other liquid asset classes. 
4. Collaborate with researchers and developers to deploy signals into production, and perform iterative improvements based on real performance. 
5. Track academic and industry advances in machine learning and present actionable ideas to the team. 

Required Skills & Qualifications

1. MS or PhD in computer science, statistics, mathematics, or a related quantitative discipline from a top-tier university. 
2. Minimum 5 years of alpha-research experience at a leading buy-side firm or global bank. 
3. Expertise in tree-based models, deep learning, and NLP/LLM with strong understanding of probability and overfitting-control practices. 
4. Proficiency in python (and preferably C++ or similar), coupled with experience on distributed/hybrid compute environments. 
5. Excellent analytical, verbal, and written communication skills, with a proactive, ownership-driven mindset suited to the fast-paced trading floor.

Who We Are 

Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture

At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

We’re not hiring someone to run models. We’re hiring someone who builds systems that think.

At SimplifyNext, our AI Engineers are core to how we deliver transformation — designing and deploying intelligent systems that genuinely change how organisations operate. You won’t be a supporting act to another team. You’ll be the one building the agents, pipelines, and infrastructure that make our AI products real.

We work across public sector and enterprise, at the intersection of AI, automation, and product-led transformation. If you’re energised by hard engineering problems, care about production outcomes - not just research benchmarks - and want your work to reach real users at scale, read on.

What You'll Do

1. Build Agentic AI Systems

• Design and build sophisticated AI agents capable of independent operation, complex decision-making, and self-correction across domain-specific contexts.
• Develop orchestration workflows using frameworks such as LangChain, LangGraph, and/or the Microsoft Bot Framework to create robust conversational and task-oriented agents.
• Implement Retrieval-Augmented Generation (RAG) systems that connect agents to live, accurate knowledge bases — reducing hallucinations and improving output quality.
• Build Memory, Reasoning, and Planning (MRP) capabilities so agents can maintain context, reason across information, and execute multi-step plans.
• Design Agent-to-Agent (A2A) communication protocols that allow multiple autonomous agents to collaborate, delegate tasks, and exchange information securely.
• Work with LLM serving solutions (Ollama, vLLM) to ensure efficient, scalable inference in production environments.

2. Deploy and Operate at Scale

• Deploy and manage AI systems on major cloud platforms — AWS, Azure, or GCP — ensuring high availability, security, and scalability.
• Containerise applications with Docker and orchestrate deployments with Kubernetes, including end-to-end on-premise cluster setup and management.
• Build and maintain CI/CD pipelines using tools like Argo (Argo Workflows, Argo CD) for reliable, automated delivery of AI services.
• Expose AI capabilities through well-documented, performant APIs that integrate seamlessly with client-facing systems and applications.

3. Train and Fine-tune Models

• Train, fine-tune, and optimise custom AI models using TensorFlow and/or PyTorch, particularly where off-the-shelf models don’t meet specific project requirements.
• Run structured experiments — hyperparameter tuning, ablations, model evaluation — to hit performance targets with confidence.
• Stay current with the latest developments in large language models and agentic AI, and bring new techniques into our systems proactively.
• Work across diverse data modalities: text, image, time-series, and graph-structured data.

Who You Are

Must-Have

• Production mindset — you’ve shipped AI systems to real users, not just demos.
• Strong fundamentals in agentic AI — you understand how to design agents that are reliable, not just impressive.
• Hands-on with at least one major cloud platform (AWS, Azure, or GCP) for deploying and managing AI workloads.
• Solid Python engineering skills and comfort working in a Git-based, collaborative codebase.
• Experience with containerisation (Docker) and orchestration (Kubernetes) in real deployment contexts.
• Clear communicator — able to explain complex technical decisions to non-technical stakeholders.

Good to Have

• 3–7 years in AI/ML engineering or a closely related role (data engineering, MLOps, applied research).
• Hands-on experience with LangChain, LangGraph, Ollama, vLLM, or similar orchestration and serving tools.
• Demonstrable RAG system implementation and optimisation experience.
• Familiarity with Memory, Reasoning, and Planning (MRP) concepts and Agent-to-Agent (A2A) protocol design.
• Experience with MLOps tooling, particularly Argo Workflows and Argo CD.
• Proficiency in TensorFlow and/or PyTorch for model training and fine-tuning.
• Exposure to knowledge graphs, semantic web technologies, or prompt engineering strategies.

This role is not for you if…

• You’ve only worked with AI in sandboxed or prototype environments and haven’t dealt with production reliability challenges.
• You prefer to work from a detailed spec rather than figuring out the right approach as you go.
• You treat deployment as someone else’s problem
• You measure success by models trained, not by outcomes delivered.

Why SimplifyNext

We partner with governments and enterprises to shift from project delivery to product thinking. That means working on problems that genuinely matter — healthcare access, business licensing, workforce development — and being held accountable for outcomes, not just deliverables.

We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal candidate will have a strong DevOps/MLOps background and be adept at deploying scalable microservices and building observability dashboards.

Responsibilities:

• Manage model registries, continuous training loops, and A/B testing infrastructure.
• Deploy agents as scalable microservices on Kubernetes.
• Build observability dashboards to track token usage, latency, and agent reasoning paths.

Qualifications:

• Strong DevOps/MLOps background (Kubernetes, Docker, Terraform).
• Experience with MLflow, Weights & Biases, or LangSmith.
• Knowledge of building scalable microservice architectures.

We are seeking a highly skilled LLM Pre-training & Distributed Systems Engineer. This role is essential for orchestrating large-scale machine learning training runs and optimizing  distributed infrastructure. The ideal candidate will have a deep understanding of GPU clusters and extensive experience in system engineering to ensure efficient and reliable training processes.

Responsibilities:

• Orchestrate distributed training runs across 1,000+ GPUs using PyTorch, DeepSpeed, or Megatron-LM.
• Optimize networking (InfiniBand/RDMA) and memory management to prevent out-of-memory errors.
• Automate checkpointing and failure recovery during month-long training runs.

Required Skills:

• Deep expertise in 3D parallelism (Data, Tensor, Pipeline).
• Experience managing SLURM or Kubernetes-based GPU clusters.
• Strong systems engineering background (C++, CUDA, Python).

The Role

Your role, first and foremost, is to help our customers solve their most important problems. As a Senior Forward Deployed Software Engineer, this takes the form of building and deploying applications that utilize the power of our physics AI models to enable our customers to build better, faster, and cheaper.

Who We're Looking For

What a day might look like

Who We're Looking For

As a Principal Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used.

You’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products.

With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers.

This Role 

As a Principal MLE, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.

You'll:

• Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments.
• Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence.
• Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.
• Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.
• Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure.
• Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site.
• Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX.

As a senior member of the team, you’ll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader.

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey! 

We are looking for a Senior Sales Engineer to join our team in Singapore. In this role, you will get hands-on experience applying the latest big data technologies to business uses cases with companies whose names you hear and products you use everyday. Our ideal candidate is comfortable learning new technologies while being able to explain their work to both technical and non-technical stakeholders. 

You will be operating as a Senior Sales Engineer, with a background in Data Science. Running your own opportunities (together with the opportunity team) while acting as a sparring partner, supporting your team with any in-depth Data Science challenges or conversations on their opportunities.

How you'll make an impact: 

• Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management.
• Conduct Discovery meetings and learn from the customer and the BDR about the customer's business requirements and technical environment.
• Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer.
• Use Dataiku to demonstrate the business value articulated in the usage scenarios.
• Design projects and execute Dataiku demonstrations that clearly illustrate how to apply data science techniques within our software to deliver the required customer value.
• Plan and execute Proof-Of-Concepts (POC), and evaluations through coordination of resources and co-development of data science projects with our prospective customers. Lead the combined team to carry out the agreed upon course of action to prove that Dataiku delivers the needed value better than our competitors.
• Answer questions and provide technical guidance to the customer's technical team regarding the demonstrated solution.
• Assist in sales pipeline building activities including attendance at live and/or virtual trade-shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management.

What you'll need to be successful: 

• Strong natural and intellectual curiosity especially around the application of technology to solve all kinds of problems.
• Experience in the data science, analytics, or big data markets preferred
• 5+ years of experience with predictive modeling, programming in Python/R and an understanding of relational data structures and SQL 
• Experience working with cloud infrastructures (AWS, GCP, Azure) 
• Experience in Analytics/AI or other enterprise software
• Experience in technical pre-sales or other client facing roles (consulting, etc.)
  Comfortability talking to all levels of customer teams from individual contributors to C-level executives, and/or a passion for public speaking
• Bahasa language skills are required for this position. 

#LI-Hybrid #LI-SW1

As a Backend Engineering Lead you'd be able to work on and solve many interesting challenges which we are facing, learn new ways of working, and help build delightful high quality products for our customers.  

Key Responsibilities

Technical Vision and Strategy

• Defines and communicates the technical vision and strategy for the engineering team, aligning it with overall business objectives.
• Evaluates emerging technologies and industry trends — including AI/ML capabilities, LLM-based tooling, and agentic frameworks — to inform technical roadmaps and architectural decisions.

Team Leadership and Mentorship

• Leads and mentors a team of engineers, fostering a culture of collaboration, innovation, and continuous learning.
• Provides guidance and support to team members, empowering them to grow both technically and professionally.
• Builds AI literacy across the team — ensuring engineers can effectively leverage AI-assisted development tools (code generation, automated review, test generation) while maintaining critical thinking about AI outputs.
• Coaches engineers on prompt engineering, AI pair-programming workflows, and when to trust vs. verify AI-generated code.

Project Management and Execution

• Manages technical projects from inception to delivery, overseeing planning, execution, and quality assurance processes.
• Coordinates with cross-functional teams, including product management, design, and QA, to ensure successful project outcomes.
• Incorporates AI-augmented estimation and planning tools where appropriate, while maintaining accountability for delivery commitments.

Architecture and Design

• Designs and implements scalable, maintainable, and extensible software architectures, considering factors such as performance, security, and scalability.
• Leads architectural discussions and collaborates with senior engineers to drive consensus on design decisions.
• Architects systems with AI integration patterns in mind — designing clean boundaries for AI/ML components, defining contracts between deterministic and probabilistic systems, and planning for model versioning, fallback strategies, and graceful degradation.

Technical Excellence

• Sets high standards for code quality, performance, and maintainability, and ensures adherence to best practices and coding standards.
• Conducts code reviews and provides constructive feedback to ensure the delivery of high-quality software solutions.
• Establishes guardrails and review standards for AI-generated code — ensuring it meets the same quality bar as human-written code, with particular attention to security, edge cases, and maintainability.
• Champions responsible AI practices: output validation, bias awareness, hallucination mitigation, and appropriate human-in-the-loop controls for critical paths.
  
  

Operational Ownership

• Takes end-to-end ownership of the systems the team builds — from deployment through production reliability, performance, and incident response.
• Drives operational maturity: SLOs/SLIs, alerting hygiene, runbook coverage, on-call readiness, and post-incident reviews that produce lasting improvements, not just action items.
• Ensures the team builds with production in mind from day one — observability, graceful degradation, and failure modes are first-class design concerns, not afterthoughts.
• Instils a "you build it, you run it" culture where engineers feel genuine accountability for what they ship and how it behaves under real-world conditions.

Problem-Solving and Decision-Making

• Demonstrates advanced problem-solving skills, leveraging deep technical expertise and critical thinking to address complex technical challenges.
• Makes informed decisions under uncertainty, weighing technical trade-offs and considering long-term implications.
• Knows when AI is the right tool for a problem and when it isn't — resists the pressure to "add AI" where simpler, more deterministic solutions are more reliable and cost-effective.
• Leverages AI-assisted analysis (log analysis, incident correlation, root cause detection) to accelerate debugging and reduce mean time to resolution.

Stakeholder Management and Communication

• Builds strong relationships with stakeholders, including product managers, business leaders, and other engineering teams, to understand requirements and priorities.
• Communicates technical concepts and project status effectively to both technical and non-technical stakeholders, adapting communication style as needed.
• Translates AI capabilities and limitations into business terms — sets realistic expectations around what AI can deliver, timelines for AI-powered features, and the ongoing cost of maintaining AI systems (compute, data quality, model drift).
• Educates stakeholders on the difference between demo-grade AI and production-grade AI, managing enthusiasm without stifling innovation.

Risk Management and Mitigation

• Identifies and mitigates technical risks proactively, anticipating potential issues and implementing contingency plans to minimize impact on project timelines and deliverables.
• Maintains a focus on security, privacy, and compliance requirements, ensuring that systems and processes adhere to relevant standards and regulations.

Continuous Improvement and Innovation

• Drives a culture of continuous improvement and innovation within the engineering team, encouraging experimentation, knowledge sharing, and adoption of new technologies.
• Promotes automation, tooling, and process enhancements to improve efficiency, reliability, and scalability of development workflows.
• Runs structured experiments with AI tools and workflows — measuring real impact on velocity, quality, and developer experience rather than relying on anecdotal evidence.
• Builds internal knowledge sharing around AI use cases, effective patterns, and lessons learned — creating a feedback loop that accelerates the team's AI maturity.
• Actively contributes to agentic AI workflows for automating repetitive engineering tasks (test generation, migration scripts, documentation, incident triage) while maintaining human oversight on critical decisions.
  
  

Leadership and Influence

• Leads by example, demonstrating integrity, accountability, and a commitment to excellence in all aspects of work.
• Inspires and motivates team members to achieve their full potential, fostering a positive and inclusive team culture.
• Positions the team as AI-forward without being AI-reckless — models the discipline of evaluating AI tools critically, adopting what works, and discarding what doesn't.
• Shapes the engineering organization's AI adoption narrative, contributing to company-wide standards, governance frameworks, and best practices for AI in production systems.

Role Specific Technical Competencies:

• Strong technical background in (AWS, Spring Boot, Kotlin, K8s, Microservices, Kafka, Istio, event-driven architecture).
• Exposure to Cloud Technologies, SRE (Site Reliability Engineering), and DevOps concepts with a focus on automation.

Our Ideal Candidate: 

• 10+ years of overall experience with the majority of this experience as an Engineering Lead or Manager.
• Experience working in Fintech / Financial organisations is an added advantage.
• At least 5 years of demonstrable leadership experience, at an individual team level and working across demographically distributed teams and organizational boundaries.
• Good experience in creating actionable strategies, with clear outcomes, and continuous measurement of progress.
• Ability to produce and communicate effective and insightful thought leadership on technical topics.
• Strong technical background in (AWS, Spring Boot, Kotlin, K8s, Microservices, Kafka, Istio, event-driven architecture).
• Exposure to Cloud Technologies, SRE (Site Reliability Engineering), and DevOps concepts with a focus on automation.
• Ability to take ownership and deliver results in a challenging client-facing environment.
• A degree in a relevant area of study would be helpful but not mandatory

CSQ427R172

Mission

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. 

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap 

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations 
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI
• [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets
• We require fluency in English and have a preference for candidates who also speak Mandarin

About Bridgewater  

Bridgewater Associates is a premier asset management firm, focused on delivering unique insight and partnership for the most sophisticated global institutional investors.  

Our investment process is driven by a tireless pursuit to understand how the world’s markets and economies work — using cutting-edge technology to validate and execute on timeless and universal investment principles.  

Founded in 1975, we are a community of independent thinkers who share a commitment to excellence. By fostering a culture of openness, transparency, and inclusion, we strive to unlock the most complex questions in investment strategy, management, and corporate culture.  

Explore more information about Bridgewater on our website here.  

Our Culture  

Our culture is anchored in excellence, meaning constant improvement, and it is deeply tied to our mission. Because markets are objective, competitive, and getting smarter everyday, we need to keep rapidly improving to have any chance of beating them. Truth is our most essential tool for engaging with the markets and constantly improving because once you know what's true about your problems and opportunities, you can determine how to get better. Valuing truth means being transparent about your decision-making and mistakes, giving and receiving feedback with humility, and fighting for the best answers over hierarchy, ego, or self-interest. Operating this way is hard – it's only possible because we build meaning in our work and relationships. This meaning comes from the audacity of the mission, and the joy of working alongside people who make you a better version of yourself. The culture, like Bridgewater itself, is always evolving. In 1997 our founder Ray Dalio wrote down his lessons, starting with a Philosophy Statement which remains our foundation. This later evolved into a set of 300+ Principles. In 2022, when Ray transitioned the company, we re-underwrote several of those principles and evolved others, with a specific focus on Meritocracy. Today the culture sits, alongside our people, as our most important edge. When we get it right, it’s the engine that powers everything else. 

About the Team 

This role sits in our Asia Strategies department. The goal of Asia Strategies is to continue our growth down the journey of being the premier investment management firm in the region. This entails developing great investment strategies reflecting our expertise, generating alpha in the markets, researching and publishing our understanding of the macroeconomic environment, and designing solutions to help our clients invest across the region. 

About Your Role  

We are seeking a Quantitative Developer to join a PM-led pod focused on systematic macro and long/short equity strategies in APAC. This is a hands-on, embedded role, working directly with the portfolio manager and researchers in a tight-knit, fast-paced environment. You will have consistent exposure to senior investment leadership and play a central role in translating research ideas into robust, production-ready, systems.

Unlike high-frequency or execution-driven QD roles, this position emphasizes (1) research enablement (2) model implementation (3) data pipelines (4) portfolio construction (5) oversight. You will sit at the intersection of research, engineering, and portfolio management, with direct ownership over the tools and systems that drive investment decisions. 

You will drive the following responsibilities:  

• Research Enablement & Implementation  

• Partner closely with the PM and researchers to translate alpha ideas into scalable, production-quality models. 

• Maintain and evolve our research & production environments – from signal development to portfolio construction & risk management. 

• Incorporate AI/Machine Learning technologies into the team’s research and investment process. 

• Data & Infrastructure 

• Efficiently engineer and assess datasets for alpha potential. Work across large, unstructured, and alternative datasets relevant to APAC markets.  

• Ensure data quality, reproducibility, and performance across research and live environments 

• Portfolio Construction & Analytics 

• Develop tools to monitor portfolio exposures, risk, performance attribution, and signal behavior. 

• Partner with the PM on discretionary overlays, stress testing, and scenario analysis. 

• Work across trade execution and portfolio implementation teams to manage our portfolios.  

• Collaboration 

• Work across our data engineers, developers, and researchers to evolve our shared research platform and data ecosystem. 

• Contribute to improving productivity, tooling, and research velocity within the pod. 

Interested in learning more about working at Bridgewater? Hear about the experiences of our employees here. 

You will be a click for the role if you: 

• Have a passion for financial markets and systematic investing. 

• Have a drive to build the backbone that directly impacts P&L. 

• Have a drive to understand the fundamental cause and effect linkages that drive markets, companies, and economies and translate that into a systematic process. 

• Are intellectually curious and creative 

• Are proactive with a strong sense of urgency, desire to drive impact, and are comfortable working in a fast-paced environment 

• Are relentless in their pursuit of learning and development 

• Are non-hierarchical, willing to challenge the status quo, and seek to give and receive feedback openly (even when challenging) 

• Are passionate about compounding understanding 

• Are experimental with a drive to adopt new technologies and methods 

Minimum Qualifications 

• 1–4 years of experience in a quantitative development, research engineering, or hybrid QD/QR role at a hedge fund, asset manager, or bank. Experience in systematic equities or macro is a plus. 

• Strong programming skills in Python (experience writing production-quality, maintainable code). 

• Willingness to expand your toolkit to adapt to our Scala driven production stack.  

• Experience designing, documenting, and scaling high-performance systems. 

• Strong desire to work with new development assistant technologies to drive productivity.  

• Experience working with databases and data platforms (SQL; Snowflake or similar) 

• Solid foundation in statistics and applied mathematics, particularly time-series and cross-sectional analysis. Familiarity with factor models, signal pipelines, and portfolio optimization frameworks 

• Experience supporting or implementing systematic investment strategies 

• Experience with trading in Asian markets is preferred including (but not limited to) familiarity with Asia market's distinctive characteristics such as stamp cost, financing, and no short constraints.  

• Comfort and desire to work across research and engineering contexts rather than a narrowly scoped infra role 

Physical Requirements  

• The anticipated onsite requirement for this role is four days per week at our New York City campus or in our Singapore office. 

Why Choose Bridgewater? 

It takes all types to make Bridgewater great. We seek a diverse group of innovative thinkers and push them to engage in rigorous and thoughtful inquiry. We develop people through an honest examination of their abilities and performance, enabling personal growth and professional development. We strive to provide you with opportunities that will challenge you and unlock your potential.  

Compensation 

• The expected annual base salary for this position is SGD 252,700-SGD 315,800. The total compensation package includes variable compensation in the form of a discretionary target bonus. 

One of our core priorities at Bridgewater is to enable our employees to build a great life and career, and we believe our benefits are an important extension of that philosophy. As such, currently Bridgewater offers a competitive suite of benefits. Explore more information about Bridgewater’s benefits on our website here. 

Bridgewater reserves the right to change its current benefits program at any time, in a manner that is consistent with applicable federal and state regulations.  

This job description is not a contract and confers no contractual rights, privileges, or benefits on any applicant or potential applicant. Bridgewater has the right to change any and all terms of this job description, including, but not limited to, job responsibilities, qualifications and benefits. Nothing in this job description constitutes an offer or guarantee of employment. Please note that we do provide immigration sponsorship for this position.  

Bridgewater Associates, LP is an Equal Opportunity Employer  

About Bridgewater  

Bridgewater Associates is a premier asset management firm, focused on delivering unique insight and partnership for the most sophisticated global institutional investors.  

Our investment process is driven by a tireless pursuit to understand how the world’s markets and economies work — using cutting-edge technology to validate and execute on timeless and universal investment principles.  

Founded in 1975, we are a community of independent thinkers who share a commitment to excellence. By fostering a culture of openness, transparency, and inclusion, we strive to unlock the most complex questions in investment strategy, management, and corporate culture.  

Explore more information about Bridgewater on our website here.  

Our Culture  

Our culture is anchored in excellence, meaning constant improvement, and it is deeply tied to our mission. Because markets are objective, competitive, and getting smarter everyday, we need to keep rapidly improving to have any chance of beating them. Truth is our most essential tool for engaging with the markets and constantly improving because once you know what's true about your problems and opportunities, you can determine how to get better. Valuing truth means being transparent about your decision-making and mistakes, giving and receiving feedback with humility, and fighting for the best answers over hierarchy, ego, or self-interest. Operating this way is hard – it's only possible because we build meaning in our work and relationships. This meaning comes from the audacity of the mission, and the joy of working alongside people who make you a better version of yourself. The culture, like Bridgewater itself, is always evolving. In 1997 our founder Ray Dalio wrote down his lessons, starting with a Philosophy Statement which remains our foundation. This later evolved into a set of 300+ Principles. In 2022, when Ray transitioned the company, we re-underwrote several of those principles and evolved others, with a specific focus on Meritocracy. Today the culture sits, alongside our people, as our most important edge. When we get it right, it’s the engine that powers everything else. 

About the Team 

This role sits in our Asia Strategies department. The goal of Asia Strategies is to continue our growth down the journey of being the premier investment management firm in the region. This entails developing great investment strategies reflecting our expertise, generating alpha in the markets, researching and publishing our understanding of the macroeconomic environment, and designing solutions to help our clients invest across the region. 

About Your Role  

We are seeking a Quantitative Developer to join a PM-led pod focused on systematic macro and long/short equity strategies in APAC. This is a hands-on, embedded role, working directly with the portfolio manager and researchers in a tight-knit, fast-paced environment. You will have consistent exposure to senior investment leadership and play a central role in translating research ideas into robust, production-ready, systems.

Unlike high-frequency or execution-driven QD roles, this position emphasizes (1) research enablement (2) model implementation (3) data pipelines (4) portfolio construction (5) oversight. You will sit at the intersection of research, engineering, and portfolio management, with direct ownership over the tools and systems that drive investment decisions. 

You will drive the following responsibilities:  

• Research Enablement & Implementation  

• Partner closely with the PM and researchers to translate alpha ideas into scalable, production-quality models. 

• Maintain and evolve our research & production environments – from signal development to portfolio construction & risk management. 

• Incorporate AI/Machine Learning technologies into the team’s research and investment process. 

• Data & Infrastructure 

• Efficiently engineer and assess datasets for alpha potential. Work across large, unstructured, and alternative datasets relevant to APAC markets.  

• Ensure data quality, reproducibility, and performance across research and live environments 

• Portfolio Construction & Analytics 

• Develop tools to monitor portfolio exposures, risk, performance attribution, and signal behavior. 

• Partner with the PM on discretionary overlays, stress testing, and scenario analysis. 

• Work across trade execution and portfolio implementation teams to manage our portfolios.  

• Collaboration 

• Work across our data engineers, developers, and researchers to evolve our shared research platform and data ecosystem. 

• Contribute to improving productivity, tooling, and research velocity within the pod. 

Interested in learning more about working at Bridgewater? Hear about the experiences of our employees here. 

You will be a click for the role if you: 

• Have a passion for financial markets and systematic investing. 

• Have a drive to build the backbone that directly impacts P&L. 

• Have a drive to understand the fundamental cause and effect linkages that drive markets, companies, and economies and translate that into a systematic process. 

• Are intellectually curious and creative 

• Are proactive with a strong sense of urgency, desire to drive impact, and are comfortable working in a fast-paced environment 

• Are relentless in their pursuit of learning and development 

• Are non-hierarchical, willing to challenge the status quo, and seek to give and receive feedback openly (even when challenging) 

• Are passionate about compounding understanding 

• Are experimental with a drive to adopt new technologies and methods 

Minimum Qualifications 

• 1–4 years of experience in a quantitative development, research engineering, or hybrid QD/QR role at a hedge fund, asset manager, or bank. Experience in systematic equities or macro is a plus. 

• Strong programming skills in Python (experience writing production-quality, maintainable code). 

• Willingness to expand your toolkit to adapt to our Scala driven production stack.  

• Experience designing, documenting, and scaling high-performance systems. 

• Strong desire to work with new development assistant technologies to drive productivity.  

• Experience working with databases and data platforms (SQL; Snowflake or similar) 

• Solid foundation in statistics and applied mathematics, particularly time-series and cross-sectional analysis. Familiarity with factor models, signal pipelines, and portfolio optimization frameworks 

• Experience supporting or implementing systematic investment strategies 

• Experience with trading in Asian markets is preferred including (but not limited to) familiarity with Asia market's distinctive characteristics such as stamp cost, financing, and no short constraints.  

• Comfort and desire to work across research and engineering contexts rather than a narrowly scoped infra role 

Physical Requirements  

• The anticipated onsite requirement for this role is four days per week at our New York City campus or in our Singapore office. 

Why Choose Bridgewater? 

It takes all types to make Bridgewater great. We seek a diverse group of innovative thinkers and push them to engage in rigorous and thoughtful inquiry. We develop people through an honest examination of their abilities and performance, enabling personal growth and professional development. We strive to provide you with opportunities that will challenge you and unlock your potential.  

Compensation 

• The expected annual base salary for this position is SGD 252,700-SGD 315,800. The total compensation package includes variable compensation in the form of a discretionary target bonus. 

One of our core priorities at Bridgewater is to enable our employees to build a great life and career, and we believe our benefits are an important extension of that philosophy. As such, currently Bridgewater offers a competitive suite of benefits. Explore more information about Bridgewater’s benefits on our website here. 

Bridgewater reserves the right to change its current benefits program at any time, in a manner that is consistent with applicable federal and state regulations.  

This job description is not a contract and confers no contractual rights, privileges, or benefits on any applicant or potential applicant. Bridgewater has the right to change any and all terms of this job description, including, but not limited to, job responsibilities, qualifications and benefits. Nothing in this job description constitutes an offer or guarantee of employment. Please note that we do provide immigration sponsorship for this position.  

Bridgewater Associates, LP is an Equal Opportunity Employer  

Role

As a Senior Robotics Software Engineer in Sensor-Based Control and Robot Learning, you will develop and integrate advanced control strategies and Machine Learning (ML) policies within Intrinsic’s Realtime Robot Control stack. You will drive the deployment of visual servoing and force-control skills in real-world manufacturing settings, focusing on dexterous, contact-rich assembly tasks. You will be responsible for the full development lifecycle: designing controllers, ensuring scalable hardware integration, conducting large-scale experiments, and optimizing for cycle times and resource usage to meet rigorous industrial standards.

How your work moves the mission forward

• Develop visual servoing and interaction control loops to solve high-precision insertion and assembly tasks.
• Implement sensor fusion and time-synchronization algorithms for multi-modal, sensor-based robot control.
• Take ownership of the full experimentation cycle, regularly running trials on industrial hardware to evaluate algorithmic changes and collect high-quality training data.
• Propose and build modular components for our kinematics, state estimation, and control stacks to improve robustness in contact-rich environments.
• Analyze logs and telemetry from diverse sensor sources to identify failure modes and influence the technical roadmap.
• Optimize the real-time execution framework for learned manipulation models within the Intrinsic platform.

Skills you will need to be successful

• Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field (or equivalent professional experience).
• 5+ years of professional software development experience in C++ within robotics or mechatronic systems.
• Proven practical experience testing and iterating on physical robotics hardware integrated with vision and sensing systems.
• Deep technical knowledge of numerical optimal control, robot motion optimization and sensor-based robot control
• Experience working closely with partners and cross-functional teams in a fast-paced environment.
• Business fluency in English.

Skills that will differentiate your candidacy

• PhD in Robotics, Computer Science, or a related field desired
• Track-record of outstanding academic contributions in the field
• Signal processing expertise in time synchronization, state estimation, and data fusion.
• Experience running ML model inference on on-prem hardware within soft-realtime loops.
• Cloud Infrastructure: Familiarity with cloud databases and cloud compute workflows.
• Proficiency in JAX, Python, TensorFlow or PyTorch.

Overview

As a GIS subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join our international business development team for infrastructure to advise our distributors, partners and customers on how to solve some of the industry’s most complex business challenges using ArcGIS Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.

 At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Gain access to technical enterprise-level decision makers and lead technical meetings that drive revenue.
• Be an expert. Be a technical leader of Esri technology as well as a subject matter expert water, electric, gas and/or telecommunications. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex solutions for Esri’s most strategic customers. Understand an organization’s business structure, associated workflows, third party business systems, and integration points. Share knowledge and coach new team members on best practices.
• Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver complex strategies that align Esri technology with our largest customers’ business needs.
• Tell our story. Design presentations for technical and non-technical audiences within Esri’s largest customers. Provide configuration guidance and best practices. Present at large conferences and executive engagements.

Requirements

• 5+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 3+ years of experience in water, electric, gas and/or telecommunications
• Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
• Demonstrated experience in technical consulting and conceptual solution design
• Understanding of sales and business development processes
• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Experience with geodatabases and underlying DBMS technology
• Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
• Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
• Programming and scripting experience with languages such as Python and JavaScript
• Remarkable presentation, interpersonal, and listening skills
• Bachelor’s degree in geography, computer science, engineering or a related field
• Ability to travel domestically or internationally 25-50%

Recommended Qualifications

• Experience incorporating real-time information streams with existing GIS data and IT infrastructure
• Knowledge of digitalization strategies that include mobile, IoT, advanced analytics and data science (AI/ML), and imagery
• Experience with enterprise GIS system administration
• Master’s degree in geography, computer science, or a related field

Questions about our interview process?  We have answers.

#LI-JP2

Overview

 As a GIS subject matter expert, you’re a natural at identifying the right analysis tools for the problem at hand. Not only do you create innovative solutions, you talk about solutions in ways that get others excited about the power of GIS technology. Join an account team and advise customers in the APAC region on their most complex business challenges. Leverage your problem-solving skills to demonstrate the value of GIS and how it finds unique patterns, trends, and understanding.

 At Esri, we are committed to our customers and their success. It is a place for you to do your best work and partner with our customers amid a supportive culture that encourages creativity, collaboration, and passion.

Responsibilities

• Build relationships. Present, demonstrate, and support selling Esri software and solutions as part of the account team. Gain access to technical enterprise-level decision makers and lead technical meetings that drive revenue.
• Be an expert. Be a technical leader of Esri technology as well as a subject matter expert of various industries. Demonstrate your advanced understanding of sales strategies and initiatives to develop complex solutions for Esri’s most strategic customers. Understand an organization’s business structure, associated workflows, third party business systems, and integration points. Share knowledge and coach new team members on best practices.
• Solve problems. Proactively craft and propose solutions that clarify how GIS brings business value to our customers by addressing the critical challenges they face. Define and deliver complex strategies that align Esri technology with our largest customers’ business needs.
• Tell our story. Design presentations for technical and non-technical audiences within Esri’s largest customers. Provide configuration guidance and best practices. Present at large conferences and executive engagements.

Requirements

• 5+ years of experience with Esri technology creating maps, performing spatial analysis, and configuring web applications
• 3+ years of experience in various industries
• Broad knowledge of ArcGIS from an IT context (such as hardware, storage, security, networking, web services, virtualization, cloud computing)
• Demonstrated experience in technical consulting and conceptual solution design
• Understanding of sales and business development processes
• Ability to troubleshoot client issues related to Esri application deployment and system architecture
• Experience with geodatabases and underlying DBMS technology
• Knowledge of cloud computing concepts and environments (Microsoft Azure or AWS)
• Experience integrating software solutions with other business systems including data warehousing, BI, CRM, ERP, and analytics platforms
• Programming and scripting experience with languages such as Python and JavaScript,
• Remarkable presentation, interpersonal, and listening skills
• Mastery of English and other languages as needed (verbal and written)
• Ability to travel domestically or internationally 25-50%
• Bachelor’s degree in geography, computer science, or a related field

Recommended Qualifications

• Experience incorporating real-time information streams with existing GIS data and IT infrastructure
• Knowledge of digitalization strategies that include mobile, IoT, advanced analytics and data science (AI/ML), and imagery
• Master’s degree in geography, computer science, or a related field

Questions about our interview process? We have answers.

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Scope  

As the Staff Applications Software Engineer, Zephyr at Ambiq, you will drive the development and testing of Ambiq’s Zephyr software offering. This includes porting new Ambiq SoCs to the Zephyr environment and enabling hardware evaluation platforms, staying up-to-date with the latest Zephyr developments and maintaining Ambiq SoC compliance, building new samples and drivers, and driving power optimizations to best showcase our ultra-low power technology. 

This role will work within our Applications Engineering Team and will work closely with the global MCU software team.  

 The successful candidate should be a fast-learning, result-driven, and self-motivated team player with an “always learning” mindset. They should have an inquiring spirit and be comfortable in a lab environment and in executing hands-on debugging for embedded systems.  

 The person in this role will be responsible for leading Ambiq’s Zephyr software development and testing, coordinating with the global team to make improvements and fix customer issues, and representing Ambiq to the Zephyr technical steering committee and community with the help of Ambiq engineers and subject matter experts. 

Responsibilities 

• Lead the development, testing, and maintenance of Ambiq’s Zephyr offering, including sample, driver, and software testcase development, as well as hardware enablement.  

• Take a key role in Ambiq Zephyr repository processes and maintenance, including CI/CD. 

• Manage Ambiq Zephyr issue status tracking, debug, and resolution.  

• Collaborate with internal engineering teams to analyze and debug complex system level issues and develop software solutions. 

• Focus on demonstrating Ambiq’s low-power advantages to the greatest extent possible within the Zephyr ecosystem. 

• Create application notes and software guidelines.  

• Support applications and field engineers, and key customers as needed. 

Qualifications 

• MS in ECE or Computer Science and 6+ years of experience or BS ECE/CS with 8+ years of experience, with at least 3 years focusing on the Zephyr ecosystem; 

• Experience with ARM Cortex-M processors.  

• Deep understanding of Zephyr RTOS required. 

• Experience with developing embedded MCU code in C and assembly language on Arm Cortex-M Processors;   

• Experience working with MCU peripherals including SPI, I2C, UART, and USB. 

• Experience with at least one MCU IDE from ARM, Keil, IAR, Eclipse, Ozone or other; 

• Experience with security, Bluetooth, Matter/Thread, and/or machine learning models within the Zephyr ecosystem is a real plus. 

• Good hands-on experience on lab equipment such as oscilloscopes, logic analyzers etc. for debugging issues;  

• Experience with Jira, Confluence and collaboration tools;  

• Experience with source code control systems (git) required;   

• Understanding of software testing and test automation principles;  

• Excellent problem-solving skills dealing with complex system level issues related to HW/SW debug;  

• Experience with scripting languages required and python experience is specifically desirable;  

• Strong communication and documentation skills. 

Work you’ll do

As an AI Engineer at SimplifyNext, you will be part of a hands-on engineering team building real-world AI and machine learning solutions that create meaningful impact for clients across ASEAN. You will work closely with consultants, architects, and domain experts to translate business problems into deployable AI models, generative AI workflows, and intelligent automation components.

You will have the opportunity to experiment with modern AI frameworks, build prototypes, fine-tune models, and implement AI capabilities end-to-end—from data preparation to deployment. This role is designed for fresh graduates who want to build, break, learn, and innovate within a supportive environment grounded in consulting excellence and deep engineering capability.

Your responsibilities would include but not limited to:

AI & Machine Learning Development

· Build and train machine learning models using Python and modern ML frameworks

· Experiment with generative AI technologies (LLMs, embeddings, prompt engineering, RAG, agentic workflows)

· Support fine-tuning, optimisation, and evaluation of AI models

· Develop reusable AI components and microservices

Data Engineering & Preparation

· Collect, clean, and transform datasets for training and inference

· Perform exploratory data analysis to uncover patterns and insights

· Document data assumptions, limitations, and preprocessing logic

Solution Engineering

· Contribute to AI solution design, model selection, architecture discussions, and implementation approaches

· Integrate AI models into applications, APIs, and automation workflows

· Build proof-of-concepts (POCs) and accelerate client adoption of AI

Testing, Deployment & Delivery

· Conduct model validation, scenario testing, and UAT with internal and client stakeholders

· Support deployment of AI models on cloud platforms (AWS/GCP/Azure) or containerised environments

· Monitor performance and support continuous improvement post-deployment

Collaboration & Consulting Exposure

· Work with functional SMEs to understand business problems and AI opportunities

· Translate complex concepts into simple, understandable terms for non-technical audiences

· Participate in workshops, demos, and client discussions as part of project teams

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, AI, Data Science, or a related field.

• 0–3 years of AI development experience (Fresh graduates are welcome to apply)

• Strong foundation in Python, algorithms, and data structures

• Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or HuggingFace

• Understanding of ML fundamentals: supervised/unsupervised learning, model evaluation, feature engineering

• Knowledge of cloud platforms (AWS, GCP, Azure) is a plus

• Familiarity with Git, REST APIs, or notebook-based development is beneficial

• Strong analytical thinking, curiosity, and problem-solving skills

• Passion for AI, experimentation, building things, and delivering quality work

Why Join Us

· Be part of a fast-growing consulting and technology firm driving AI, automation, and next-gen engineering

· Work on high-impact challenges across ASEAN, delivering real-world AI solutions

· Gain hands-on experience from day one with industry experts, architects, and consultants

· Contribute to innovation programmes, accelerators, and AI Centres of Excellence

· Grow rapidly through certifications, mentorship, structured enablement, and exposure to emerging AI technologies

· Join a supportive, high-trust culture that values creativity, experimentation, and continuous learning