Machine Learning Engineer Jobs

Blissway

Blissway is a startup focused on simplifying toll collection and improving highway safety through deep tech, AI/ML, hardware, SaaS, and IoT. We have established a significant technological lead in the global tolling industry and operate with a lean, growing team. This role is for an engineer who is passionate about taking machine learning models from development to reliable production environments. You will be responsible for the infrastructure, deployment, and monitoring that ensures models are accurate and performant in real-world applications, processing millions of images daily.

$150k - $195k

The Capital One Model Risk Office is dedicated to safeguarding the company from model failures while simultaneously enhancing decision-making through models, including unique risks associated with Generative AI (GenAI). Leveraging expertise in statistics, software engineering, and business, we strive to achieve optimal results for both Risk Management and the broader Enterprise. We prioritize long-term success by continually investing in future capabilities: acquiring new skills, developing superior tools, and cultivating strong relationships with trusted partners. Our approach involves learning from past errors to develop increasingly robust techniques that prevent recurrence. In this role, you will partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models. You will leverage a broad stack of technologies to reveal insights hidden within huge volumes of multi-modal data, build machine learning models to challenge existing production models, and contribute to the model governance framework for the next generation of models. You will also validate a wide variety of models across multiple business domains and present identified model risks to executives.

$123k - $141k

Applied Intuition

We are seeking senior machine learning engineers to advance the generative modeling technology behind our Neural Simulation product. This role involves pushing the boundaries of diffusion and video generation models to create realistic, controllable sensor data and augment real-world logs with new scenarios. Your work will directly influence the development of next-generation data-driven autonomous vehicles for leading OEMs. This position is ideal for engineers passionate about the intersection of generative modeling, computer vision, and machine learning, who are eager to bring cutting-edge research into production and address complex simulation challenges in Physical AI.

$185k - $260k

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 Simulation team, focusing on Gaia, Wayve's world model. Gaia is trained on large-scale driving video to predict future frames, functioning as a simulator that generates synthetic scenarios and operates in closed loop with the driving model. The team collaborates closely with Research, Applications, Core Simulation Engineering, and Cloud/Infrastructure to translate model improvements into tangible impacts on the driving stack. You will own and lead parts of large-scale training for Gaia, contribute to model architecture decisions, and mentor others to raise the engineering and research quality bar.

Salary not listed

Accenture

Accenture Industry X is seeking an experienced Machine Learning Architect to join their Automotive Engineering team. This role will contribute to the development of next-generation intelligent vehicle solutions by designing and implementing Machine Learning architectures for automotive software platforms. The team focuses on shaping a future-looking Software-Defined Vehicle Platform that unifies various operating systems into a powerful developer ecosystem, driving innovation in ADAS and Infotainment.

Salary not listed

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. As a Senior Software Engineer, Data, you will join a high-autonomy team focused on building Wayve’s Data Transfer Hub. This mission-critical infrastructure is designed to transfer petabytes of sensor data daily from global partners, forming the data foundations essential for large-scale AI model training. You will work with partners such as Uber, Stellantis, and Nissan, contributing to the core systems that power autonomous vehicles.

Salary not listed

Our Branch Network Modeling team develops advanced analytics and machine learning solutions that inform high-impact decisions across physical location strategy and field workforce effectiveness. As an Applied AI Modeling Senior Associate, you will build advanced artificial intelligence (AI) and machine learning (ML) models that directly shape high-stakes decisions impacting Chase’s branch network and the bankers who serve our customers. Your models will help optimize our branch network, using geospatial AI and graph-based models to determine where Chase should invest, grow, or reposition its physical footprint, or will empower our bankers in the field to serve our customers using techniques like reinforcement learning and behavioral science.

Salary not listed

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 reinforcement learning methods for end-to-end driving models, identifying opportunities where learning from reward or feedback can improve beyond behavior cloning. You will take promising ideas from design through large-scale experiments, rigorous evaluation, and integration into their best driving models, contributing to the development of embodied intelligence that moves real vehicles safely.

Salary not listed

We are a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, cultivate the next generation of AI builders, and make significant contributions to a knowledge-driven economy. As part of our team, you will work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, contributing to groundbreaking AI solutions that have the potential to reshape industries. Strategic and innovative problem-solving skills are essential for establishing our institution as a global hub for high-performance computing in deep learning.

$150k - $450k

We are seeking a Senior Software Engineer to join our team focused on enabling CUDA Math Libraries on new and specialized platforms. This role is crucial for ensuring that NVIDIA's math libraries deliver high functionality and performance across a wide range of targets, supporting the AI, data analytics, and scientific simulation industries. You will be responsible for the integration, functional qualification, compliance, and performance readiness of these libraries on emerging platforms, collaborating closely with core library and devops engineering teams. This is an exciting opportunity to contribute to the forefront of application performance in the AI era.

$152k - $288k

As a Director, you will design and develop AI and machine learning solutions to support data-driven decision-making and business growth within our General Tax Consulting practice. You will set strategic direction, lead business development, and guide multiple initiatives while shaping client relationships and mentoring future leaders. This role involves applying data, algorithms, and software engineering to build scalable AI systems, translate ideas into practical solutions, and advance technology use across tax-focused client work.

$150k - $438k

The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation team focuses on unlocking software launches and continuous release decisions via novel simulation V&V methodologies and targeted vehicle testing. As a Machine Learning Validation Engineer on the Software Validation team within the AV organization, you will play a critical role in the execution of validation efforts for autonomous vehicle behavior. You will leverage your skillsets to craft guidance on behavioral performance and to design and implement complex V&V strategies. You will work with a team of engineers to define best practices, design and execute innovative analyses to establish performance requirements, drive innovation in testing, and verify the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders.

$139k - $163k

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 Core Model Safety team, which builds foundational capabilities for assisted and automated driving, focusing on collision avoidance, model understanding, and robustness under failure. You will work in a focused, high-impact senior team with strong ownership, access to large-scale training and fleet data, and close partners in research, simulation, evaluation, and applied engineering. As a Senior/Staff Machine Learning Engineer, you will lead the technical direction and delivery of learned emergency manoeuvre prediction and collision detection models. These are rare, high-consequence events that place unusual demands on data, modelling, and validation. You will take the program from problem definition through modelling, evaluation, integration, and evidence for deployment, driving core model safety roadmap themes and owning the full lifecycle from research to offline/online experiments to technology transfer.

$312k - $389k

We are a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you will have the opportunity to work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, participating in the creation of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills are essential for establishing our institution as a global hub for high-performance computing in deep learning.

$150k - $450k

The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous vehicles through cutting-edge simulation technologies and novel iterative development processes. The Software Validation team focuses on unlocking software launches and continuous release decisions via novel simulation V&V methodologies and targeted vehicle testing. As a Machine Learning Validation Engineer on the Software Validation team within the AV organization, you will play a critical role in the execution of validation efforts for autonomous vehicle behavior. You will leverage your skillsets to craft guidance on behavioral performance and to design and implement complex V&V strategies. You will work with a team of engineers to define best practices, design and execute innovative analyses to establish performance requirements, drive innovation in testing, and verify the safety and performance of autonomous systems. You will be responsible for shaping the future of evaluation methodologies for AI systems and other ADAS features, architecting solutions that meet the testing needs of AI developers, systems engineers, and safety stakeholders.

$104k - $124k

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 on the Model Foundations team, which builds the geometric vision and 3D foundation models that underpin Wayve's autonomous driving systems. You will work at the intersection of large-scale deep learning, geometric computer vision, and real-world robotics to develop models that learn 3D structure and dynamics from fleet-scale sensor data. As a Principal Engineer, you will be a hands-on technical leader, setting direction for geometric vision, prototyping and training new model architectures, building the data and supervision needed to scale them, and taking successful ideas through to deployment on real vehicles.

$370k - $420k

We are a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you will work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, contributing to groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills are essential for establishing our institution as a global hub for high-performance computing in deep learning.

$150k - $450k

Wayve is seeking a Robotics Software Engineer to join our Online Calibration team and support scaling across our autonomous vehicle fleet. You will turn calibration and estimation methods into reliable, observable, and resource-efficient components of the on-vehicle runtime. Working across calibration, state estimation, robot software, hardware acceleration, and vehicle-platform teams, you will help shape the architecture and roadmap for a foundational capability that directly affects vehicle performance, resilience, and safety. Your day-to-day will involve developing robust production software for online calibration, operating continuously on constrained, hardware-accelerated platforms, and working with asynchronous sensor data, accelerator-produced features, and noisy, time-varying calibration parameters, balancing correctness, debuggability, and runtime efficiency.

$276k - $294k

Wayve is building the AI platform for autonomous driving, enabling vehicles to learn directly from real-world experience. This role is on the Enrichment and Curation team, which transforms fleet-scale driving data into high-quality training datasets, enrichments, and evaluation benchmarks for the company's end-to-end AI Driver and foundation models. You will be instrumental in developing the embodied intelligence that moves real vehicles safely and the ecosystem that future machines will run on.

$312k - $420k

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 Search & Indexing team, part of the Compute and Data Platform (AI Platform), responsible for making Wayve's multimodal driving data discoverable. The team builds indexing infrastructure for vector and metadata-based retrieval, powering data curation, training set construction, and ML research. You will be the first hire in this team, based in our Sunnyvale office.

$312k - $351k

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 AI Platform team, specifically on the AI Libraries team, where you will create high-quality platforms, tools, and reusable abstractions to support thousands of GPUs and accelerate the development of autonomous driving technology. You will work closely with machine learning teams to understand their workflows and translate complex requirements into stable, scalable, and intuitive software, focusing on designing and writing Python, leading projects from discovery to delivery, and improving engineering standards.

Salary not listed

Wayve is building the AI platform for autonomous driving, enabling vehicles to learn directly from real-world experience. This role is on the Measurement team within AI Evaluation, focused on building and qualifying offline scene-understanding models that measure driving performance. These models leverage greater compute, larger models, and temporal context to create credible evidence at fleet scale, contributing to the development of a generalizable AI Driver for real vehicles.

$312k - $389k

Amplitude

The Analytics Compute Platform team at Amplitude owns the critical compute layer that powers every chart, insight, and experiment result seen by customers. This team sits between Amplitude's front-end analytics products and its proprietary analytics database, Nova, and is responsible for the compute API that translates user queries into fast, accurate answers. The core mandate is to enable a highly performant, reliable, and flexible system for computing insights, navigating the inherent tradeoffs between these goals. Day-to-day, you will collaborate closely with engineers across various product teams, including data management, marketing analytics, Session Replay, Experiment, CDP, and Query, as they are all consumers of the team's work.

$167k - $230k

Thinking Machines Lab

We are seeking a Software Engineer, Inference to be responsible for the reliability, scale, and efficiency of the systems that serve our AI models to users. This production-facing systems role is central to the company, acting as a bridge between cutting-edge inference techniques and the practicalities of serving live traffic, including rollouts, capacity management, and incident response. You will ensure that performance gains from our research and inference teams reach production safely and remain operational, powering our live serving platform and related products.

$300k - $400k