Machine Learning Engineer Jobs

The AI Cloud and Developer Productivity organization delivers and maintains the tools and services engineers use daily to enhance the entire development process, from code checkout to deployment. The AV Developer Tools team specifically owns AI-native tools and services that enable consistent and secure agentic workflows with visibility into their usage. The goal is to accelerate AV development by supporting developer workflows for performance and observability, ensuring production-level reliability and availability. This role focuses on building AI-native tools and services to improve developer productivity.

$180k - $284k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role focuses on advancing model-based autonomous driving, improving core driving performance, and developing intelligent features. You will lead critical initiatives to design and deliver ML-driven behaviors that scale from assisted to autonomous driving, working across model architecture, data pipelines, evaluation frameworks, and real-world deployment. You will collaborate closely with AI Platform, Simulation, Robot Software, and Model Release teams to build performant, adaptable systems ready for production, while helping shape the long-term technical direction across Autonomy.

$312k - $351k

As an intern, you will help develop and optimize our AI training platform by improving data processing pipelines, accelerating model training and inference workflows, and/or enhancing testing infrastructure. You will support tool development, instrumentation, and system monitoring to boost reliability, reduce latency, and increase iteration speed for advancing autonomous driving performance. This role is part of GM's AV/AI Platform organization, which builds the software foundation and engineering tools that power safe, reliable, and scalable autonomous driving and advanced driver-assistance systems.

$97k - $142k

Wayve is seeking a founding Machine Learning Software Engineer for its Multi-Embodiment Generalist Agent (MEGA) team. This role focuses on building foundation models for general-purpose robots, enabling them to learn from diverse data and generalize across tasks and embodiments. You will be instrumental in designing and constructing the software systems that support MEGA's machine learning research, including scalable ML pipelines, data and training infrastructure, and shared tools for rapid experimentation. This position offers a unique opportunity to work closely with large-scale video and robotics datasets, modern ML frameworks, and advanced models, ensuring the reliability and maintainability of research systems as the program expands. You will own critical components of the software and ML infrastructure, influencing the team's ML stack development and operations.

$312k - $420k

Wayve is building the AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the Performance Architecture team, which focuses on making Wayve's AI workloads faster and more efficient across training and cloud inference. The goal is to unlock new product capabilities by enabling the training of larger models faster and running inference more efficiently at scale. The team plays a crucial role in the company's mission to make autonomy universal and accelerate the transition to a safer, more intelligent future of mobility.

$370k - $395k

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. You’ll join a collaborative team where your ideas and skills help shape intelligent, data-driven products that power business innovation. As part of a diverse and inclusive environment, you’ll work alongside talented engineers and data scientists, deepening your expertise in Python and machine learning. If you’re passionate about solving complex problems and advancing technology, you’ll find strong support and growth opportunities here. As a Software Engineer III in Corporate Technology’s AI, ML & Data Platforms team, you will design and deliver secure, stable, and scalable technology solutions that support the firm’s data and artificial intelligence objectives. You will work as a valued member of an agile team, tackling technical challenges across multiple areas and contributing to end-to-end delivery. You will help strengthen engineering practices through thoughtful design, strong coding standards, and continuous improvement, while fostering a culture of inclusion and respect.

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Speechmatics is seeking a Senior Machine Learning Engineer to join their Research & Development team, focusing on cutting-edge speech technology. The company is a global leader in Voice AI, aiming to understand every voice through innovation and inclusivity. The Modelling Team trains diverse models, including large self-supervised ones, to enhance speech recognition accuracy and ensure their deployment into production using the latest ML developments and robust engineering practices.

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We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. At JPMorganChase, we believe in investing in our people — offering you the tools, mentorship, and environment to grow, innovate, and make a real impact. You'll be part of a culture that values diversity, inclusion, and continuous learning, where your contributions directly shape the technology that serves millions of customers worldwide. As a Software Engineer III at JPMorganChase within Corporate Technology, you serve as a seasoned member of an agile team to design and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. In this role, you will collaborate across teams to solve complex technical challenges, contribute to engineering communities of practice, and help drive a culture of excellence and innovation.

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Wayve is seeking a System Test Automation Engineer to join their Verification and Release Test Team. This role is crucial in ensuring the safety and reliability of embodied intelligence for autonomous vehicles. You will be responsible for developing robust, reusable automation for system functionality tests across hardware and software boundaries, and leading root-cause investigations for failures. The position involves optimizing CI/CD test workflows, analyzing test results to uncover bugs, and reporting findings. You will independently own the design and delivery of automated verification for specific areas of the embedded software stack, and build various types of hardware-in-the-loop (HIL) tests. This is a hands-on role with opportunities to grow into broader system areas, contributing to the company's mission of making autonomy universal.

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Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the Generative Simulation team, which advances autonomous driving research by incubating new ideas. As a Machine Learning Engineer, you will develop next-generation world models and planners, such as GAIA, to simulate complex driving environments for faster training, broader testing, and scalable deployment. A major focus is on efficiency and interactivity, requiring models to run thousands of roll-outs per second, support closed-loop agent interaction, and fit within practical compute budgets. You will work at the intersection of machine learning research, multi-modal modeling, and real-world deployment, tackling challenges like deploying autonomous vehicles without real-world data and assessing if synthetic environments can replace physical testing.

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We are seeking a Technical Lead Manager to lead our Synthetic Data team, a critical component of our autonomous driving research. This role will focus on leveraging generative world models, like GAIA-3, to create a production engine for training-grade synthetic data. The goal is to significantly reduce our reliance on expensive on-road data collection by enabling the generation of diverse driving scenarios, even for future vehicle platforms or geographies where data collection is limited. You will lead a team of machine learning engineers, guiding technical strategy, system design, and the development of capabilities that accelerate our journey to AV2.0.

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Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. The Model Integration and Release team owns the engineering release process for Wayve’s driving models, validating that new architectures, features, or data changes meet quality, safety, and performance standards before they reach customers. This role involves working across ML engineering, AI Platform, evaluation, and CI/CD to protect the model baseline while continually improving how reliably and efficiently models are delivered.

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Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the AV Core Engineering Team, specifically the Core Model Safety team, which focuses on collision avoidance, model understanding, and robustness under failure. You will join a senior team working with large-scale training and fleet data, collaborating with research, simulation, evaluation, and applied engineering teams. The core of the work involves leading large-scale data enrichment and curation initiatives, developing workflows for mining hard and rare events, investigating model performance in real-world scenarios, and improving the efficiency and reliability of the machine learning operations stack.

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Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the ML performance team, which optimizes inference for edge accelerators and GPUs, ensuring large transformer-based models run efficiently on low-cost, low-power in-vehicle compute. You will work closely with model, platform, and deployment teams to transform research models into reliable production systems for Wayve's driving product. This is a hands-on position involving ML systems, compilers, runtimes, kernels, and embedded deployment, focusing on identifying bottlenecks, implementing performance improvements, and collaborating with model developers on performance trade-offs.

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At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system, extracting 3D object and line features from dense LiDAR point clouds and imagery. This product-focused role involves working closely with customers to develop Computer Vision/Machine Learning pipelines and workflows that solve their problems. You will be responsible for shipping new features and product lines end-to-end, from data strategy and model training to evaluation. This position is ideal for early-career engineers who learn quickly, are curious, and find satisfaction in shipping impactful products.

$180k - $300k

Runpod

Runpod is seeking a Senior ML Systems Engineer focused on Inference to lead efforts in making LLM inference the fastest and most cost-efficient on their platform. This role involves owning LLM serving performance end-to-end, measuring, understanding, and improving it across various models, hardware, and workloads. The work directly impacts customer latency and cost, requiring a hands-on approach to identify and fix bottlenecks, and ensure reliable production deployment. The ideal candidate will be passionate about AI infrastructure and contribute to building the platform for the next generation of AI developers.

$150k - $220k

Elastic

Elastic is seeking a Senior Software Engineer to join the Elasticsearch - Storage Engine team. This globally distributed, fully remote team focuses on developing core storage and query technologies for observability workloads. The role involves designing, implementing, and optimizing Elasticsearch's core storage and query engine, with a focus on improving storage efficiency, advancing query processing and performance, and optimizing data layouts. The company emphasizes empowering individual engineers, code review, consensus-driven decisions, and incremental improvements in a collaborative, asynchronous environment.

$133k - $253k

As a Simulation AI/ML Engineer intern, you will partner with senior engineers to deliver key components of the evaluation strategy for GM’s autonomous vehicle programs. In this role, you will scale the testing and evaluation of our self-driving stack by applying AI/ML techniques to software solutions. You will design, perform experiments, and deploy these solutions as production-ready code. The work you do will be directly applied to the iteration and validation of the self-driving stack. The GM AV Simulation team builds world-class testing and analysis related products and technologies to enable GM to accelerate the development of autonomous vehicles as well as general vehicle software development.

$97k - $115k

As part of the AI Engineering team within the Digital Assurance & Technology team, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, you will focus on developing and implementing advanced AI and machine learning solutions to drive innovation and enhance business processes. Your work will involve designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. You will set direction and quality standards across work streams and teams for testing and evaluation of AI-enabled systems, technical evidence and control effectiveness, and reusable capabilities that support responsible, reliable AI deployment across multiple teams. As a Senior Manager, you will leverage your skills and professional network to deliver quality results. You will motivate and coach others, collaborating to solve complex problems. With increased autonomy, you will apply sound judgment, recognizing when to take action and when to escalate. Your ability to develop and sustain diverse and inclusive teams, along with your commitment to excellence, contributes to the success of our firm. In this role, you will lead large projects and innovate processes, focusing on achieving results and maintaining operational excellence. You will interact with clients at a strategic level, driving overall project success. Your influence and skills will be crucial in crafting clear, impactful messages and applying systems thinking to identify underlying problems and opportunities.

$119k - $300k

Elastic

Elastic is seeking a Principal Software Engineer to join the Elasticsearch - Storage Engine team. This globally distributed, fully remote team focuses on developing core storage and query technologies for observability workloads. The role involves improving storage efficiency, advancing query processing and performance, and optimizing data layouts. The ideal candidate will drive the technical vision, architecture, and design of Elasticsearch's core storage and query engine, with a proven track record in high-performance, scalable database or search engine technologies and the ability to lead technical initiatives across organizations.

$160k - $304k

As a PhD AI/ML Engineering Intern within General Motors’ Autonomous Vehicles organization, you will advance reliable AI/ML capabilities by translating deep research into validated, production-oriented systems. Your work may support perception, prediction, planning, decision-making, embodied AI, simulation, sensor understanding, mapping, or large-scale model development. You will work with real-world driving and sensor data, modern machine learning methods, and autonomous vehicle evaluation environments. You will collaborate with researchers and engineers to design experiments, build and assess models, investigate failure cases, and integrate promising approaches into broader AV systems.

$156k - $187k

DevRev is seeking a Senior Software Engineer - Data Platform to contribute to the evolution of their AI-ready platform, "Computer." This role involves owning significant parts of the data architecture that powers DevRev Computer's memory, ensuring accurate and efficient data for insights and actions. You will design and operate scalable data systems, collaborating with engineering, AI Agent, Data Science, and Product teams to transform complex data requirements into reliable data products. This position is ideal for an experienced engineer passionate about large-scale data, distributed systems, database architecture, and performance optimization, offering substantial technical ownership and the chance to influence the direction of their agentic data platform.

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Artefact is seeking a Senior AI & Agentic Engineer for future opportunities. This role is ideal for an experienced professional with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. The position involves designing, building, and maintaining scalable data pipelines, integrating complex data systems, and implementing CI/CD practices. You will collaborate with stakeholders to translate business requirements into technical solutions, oversee data engineering teams, and enforce data governance and security best practices. The role also includes optimizing data retrieval and developing reports, while continuously evaluating new technologies to enhance data engineering capabilities.

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SambaNova

As a Senior Principal Machine Learning Engineer, you will be responsible for designing, developing, and optimizing machine learning models, with a focus on cutting-edge Large Language Models (LLMs), to run efficiently on SambaNova's specialized hardware architecture, including the RDU. This critical role bridges advanced LLM research and practical deployment, involving the development of model architectures, improving training and inference efficiency, and collaborating on hardware-software co-design with compiler, systems, and hardware teams. The engineer will also act as the ML expert, guiding the integration of LLM solutions into production systems and customer-facing products like SambaStack and SambaCloud, with work spanning the full lifecycle from training and inference to evaluation and data curation.

$220k - $300k