Senior Machine Learning Engineer Jobs

ClickHouse

ClickHouse is a fast-growing cloud company specializing in real-time analytics, data warehousing, observability, and AI workloads. The AI/ML Engineering team is responsible for building and operating ClickHouse's AI and machine learning products end-to-end. This includes developing features for the ClickHouse Cloud platform, creating scalable APIs for AI/ML inference, and integrating with the broader AI/ML ecosystem. The team is looking for experienced software engineers to design, build, and operate products that position ClickHouse as a leading platform for agents and data scientists.

Salary not listed

Appier is seeking a Machine Learning Scientist (Modeling & Evaluation) to join the Enterprise Solution Science Team. This role focuses on helping enterprises leverage AI to achieve tangible ROI. You will be responsible for the complete development lifecycle of solutions, from initial problem definition through to driving models and solutions into production. This involves designing, developing, and deploying optimization solutions powered by machine learning models and rigorous evaluation techniques to enhance efficiency and quality.

Salary not listed

Crusoe

Crusoe is seeking a Staff Software Engineer specializing in Linux Kernel Security to strengthen the security of their AI cloud infrastructure. This role involves implementing kernel security enhancements, triaging CVEs, securing the boot path, and establishing CI guardrails. You will research vulnerabilities, advocate for secure coding practices, and conduct security-focused code reviews. The position also includes utilizing and developing security auditing tools, supporting incident response, and balancing security with system performance. A key aspect is contributing to the security of Cloud Hypervisor and advancing confidential computing primitives. This role requires close collaboration with other engineering teams and providing technical leadership and mentorship.

$215k - $260k

Applied Intuition

Applied Intuition is seeking a Senior Machine Learning Engineer to advance the core reconstruction technology behind their Neural Simulation product. This role involves transforming real-world driving data into high-fidelity simulation environments, pushing the boundaries of reconstruction quality, scaling data processing, and enhancing product utility for customers training autonomy systems. The engineer will directly influence the development of next-generation autonomous vehicles for major OEMs, working at the intersection of 3D computer vision, graphics, and machine learning to bring cutting-edge research into production and solve complex simulation challenges in Physical AI.

$190k - $260k

Latitude AI, a subsidiary of Ford Motor Company, is developing the future of autonomous driving technology. We are building an in-house developed, hands-free ADAS platform that will debut in 2027. Our team comprises experts in machine learning, robotics, cloud platforms, and more, all dedicated to making transportation safer and more enjoyable. We operate with the agility of a tech startup while leveraging the resources of Ford. The Intelligent Systems team focuses on converting sensor data into understanding through computer vision and machine learning, managing both onboard sensor suites and offboard cloud infrastructure. Scaling our machine learning models with robust data and fast infrastructure is crucial for achieving optimal performance and enabling a safer future of transportation. The Scalable ML team is responsible for the data generation, orchestration, and distributed training infrastructure that empowers our ML developers to work efficiently with large datasets, bridging the gap between ML Platform, Jobs Platform, Cloud Platform, and High Performance Computing.

$253k - $380k

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

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

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

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

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 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 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

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

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.

Salary not listed