Senior Machine Learning Engineer Jobs

SambaNova

SambaNova is seeking a Principal Place and Route (PnR) Engineer to join our team. This role involves developing and tuning the software that maps dataflow graphs onto SambaNova's Reconfigurable Dataflow Unit (RDU). You will work on partitioning, placement, and routing algorithms to optimize the mapping of customer workloads, including large language model inference and training, onto our hardware. Your contributions will directly impact the throughput and performance of compiled programs and will be integrated into production releases.

$0k - $1000k

Latitude AI, a subsidiary of Ford Motor Company, is developing an in-house autonomous driving platform, the Ford Fathom, set to debut in 2027. The Unified Model development team focuses on creating advanced computer vision and machine learning models for tasks like 3D object detection, lane line detection, and state estimation. These models generate representations of static and dynamic actors, crucial for downstream autonomy systems such as motion planning and prediction. The team's goal is to transition these compute-efficient, multi-view, multi-sensor deep learning models from research to production-grade, onboard vision systems for vehicles, ensuring real-time reasoning about the world.

$179k - $269k

Databricks

Databricks is seeking an engineer to join a new, nimble team in NYC to build CustomerLake, the Customer Data Platform on Databricks. This platform aims to bring enterprise-grade ML and AI personalization to companies whose data already resides on Databricks, enabling them to power personalization, recommendations, churn, and lifetime-value modeling without an in-house ML/AI team. This is a unique opportunity to work in a 0-to-1 environment, combining startup excitement with the resources of a major tech company.

$190k - $253k

Expedia Group is seeking a Principal Applied Scientist to join their Personalization, Search & Recs team. This role will be a key contributor to the thought leadership, development, and optimization of Expedia's AI models for search and personalization, including natural language search, multi-modal search, recommendations, and generative AI-based traveler experiences. The ideal candidate is a deep learning and ML expert capable of developing effective AI solutions for search and recommendations, with a focus on innovation and implementing cutting-edge technology. This is a significant opportunity to build foundational systems within a strategic, AI-first area of the company.

$224k - $314k

Capital One is seeking Machine Learning Engineers passionate about leveraging cutting-edge open-source frameworks, advanced algorithms, and emerging technologies to drive AI transformations and scale production models. In this role, you will be expected to perform various ML engineering activities, including designing, building, and delivering ML models and components that solve real-world business problems. You will also build and scale massive multi-tenant platforms for large footprint ML model training and serving, and inform ML infrastructure decisions based on your understanding of ML modeling techniques. The role involves solving complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment, all within a collaborative, cross-functional Agile team environment.

$230k - $262k

Stripe

Financial Connections is Stripe's open banking platform, enabling businesses to securely access consumer-permissioned financial data. Our platform connects to thousands of financial institutions, powering use cases from account verification to risk assessment to personal financial management. Across the Financial Connections Engineering org, we focus on delivering high-quality, enriched bank data at scale — building the ML systems that transform raw financial data into actionable signals for both internal Stripe teams and external merchants. Our ML work spans transaction categorization, risk scoring, data enrichment, and the development of intelligent systems that improve data quality across our network. We operate at the intersection of fintech infrastructure and applied machine learning, solving problems that directly impact Stripe's ability to serve millions of businesses and consumers.

Salary not listed

As a Senior AI Performance Engineer, you will analyze and optimize AI training and inference workloads across large-scale distributed systems. Your work will connect compute, memory, communication, and software behavior, owning complex performance investigations from problem definition through validation. You will translate profiling, benchmarking, and modeling results into actionable improvements for engineers. This role offers broad scope across hardware, software, networking, and system architecture, contributing to Graphcore's delivery of efficient and reliable AI systems for large-scale deployment.

Salary not listed

NVIDIA is seeking a Software Engineer, Performance Instrumentation to join their team in Santa Clara, CA. This role offers an exciting opportunity to contribute to groundbreaking projects at the intersection of AI and accelerated computing. You will be instrumental in defining and maintaining performance data requirements, identifying and addressing visibility gaps, and ensuring the quality and efficiency of instrumentation APIs. This position requires a strong background in software engineering with a focus on performance and data quality within machine learning or systems software environments.

$168k - $270k

Stripe

Stripe is seeking a Machine Learning Engineer for its Link Fraud and Auth team. This role involves building and operating models and risk decisioning systems to protect Link while enabling legitimate payments. You will manage the full machine learning lifecycle, from analyzing fraud patterns and identifying opportunities to developing, deploying, monitoring, and improving models in production. Your work will directly impact Link's fraud performance, authorization rates, and expansion into new products and payment experiences, contributing to Stripe's mission to increase the GDP of the internet.

Salary not listed

Stripe

The Radar ML team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns over 10 real-time deep learning models that must constantly evolve to stay ahead of fraudsters. Each ML improvement translates directly into dollar impact for Stripe and its users. The team's models also power the Radar product suite that tens of thousands of businesses use to screen payments and manage fraud. In this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers. You will have opportunities to optimize Stripe’s most intensive ML models, and opportunities to ship 0-to-1 products from scratch.

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As a Senior Machine Learning Engineer in the Applied AI team, you will contribute to advancing AI technology by developing and optimizing new and existing AI models for specialized hardware. You will work on large-scale systems where performance is critical to project success, with visibility across the entire pipeline from hardware to AI applications. This role involves close collaboration with researchers in a rapidly evolving field, requiring continuous learning and adaptation to new challenges. We seek engineers with strong technical foundations who are curious and eager to understand and advance AI model implementation at scale. This position offers flexibility through a hybrid working model from our UK offices.

Salary not listed

The Business & Market Insights (B&MI) team within Mastercard's Services division creates products that help customers understand their market better. The B&MI Data Science team builds models and solutions using Mastercard transaction data and other sources for these products, at a globally scalable level. This role is for a Data Scientist who will work across Product, Client Services & Delivery, Data & Engineering, and broader teams to deliver differentiated products driven by analytics & AI, leveraging rich data resources, AI platform capabilities, and near real-time execution. The role is central to developing new products and capabilities using analytics & AI, from concept and technical design to market release and optimization, driving new ideas forward with creative thought leadership, innovation, and industry best practices.

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We are seeking a Senior Developer Technology Engineer specializing in Artificial Intelligence. This role involves researching and developing techniques to accelerate AI workloads, particularly deep learning and machine learning, on advanced computer architectures. You will identify and eliminate system bottlenecks to achieve optimal performance on pioneering hardware. A key aspect of this position is collaborating with other technical experts and the developer community, publishing findings, and influencing the design of next-generation hardware and software. This is an opportunity to work at the forefront of technology breakthroughs with an industry leader.

Salary not listed

Databricks

As a Staff Data & AI Technical Solutions Engineer, you will be responsible for driving and mentoring others in producing Data & AI technical solutions for customer-reported issues. This involves deep dives into production data pipelines, AI workflows, and streaming data ingestion. You will leverage your deep expertise in Data & AI architectures to maintain complex production environments and adhere to SLAs. Collaboration with product engineering and customer account teams is key to delivering results, especially during critical production downtime. You will provide customers with guidance and expertise to build performant architectures and reliable services using Databricks' platform, acting as a technical expert within a global support engineering organization.

Salary not listed

Expedia Group is seeking a Senior Machine Learning Scientist to provide technical leadership within the Search Marketing & Tech organization. This role involves owning end-to-end ML solutions, defining technical roadmaps, and driving complex projects that enhance customer experiences and business performance. The ideal candidate will have a proven track record of delivering high-impact ML projects from concept to production, collaborating closely with engineering teams on multi-quarter initiatives that yield measurable business outcomes. You will contribute to building and optimizing ML models that power metasearch bidding and auction strategies across key partners.

Salary not listed

Moveworks is seeking a Senior Staff ML Engineer to join our AI Safeguards team. In this role, you will be instrumental in designing, building, and shipping critical safeguards within our agent harness. Your work will focus on protecting against prompt injection, single and multi-turn jailbreaks, toxicity, sensitive topics, and sensitive data exposure. You will develop robust evaluation frameworks to measure the efficacy of these safeguards, addressing both false positives and false negatives using diverse datasets. Collaboration with our Security team will be key, translating their findings into actionable eval cases and fixes, and co-developing mitigations. You will also select, integrate, and fine-tune detection models within a shared stack serving both commercial and government environments, while carefully balancing quality, latency, and cost for controls operating in the request path. Additionally, you will build configurable safeguard policies to empower customers in managing sensitive topics and monitor safeguard behavior in production, addressing any regressions.

Salary not listed

MatX is building the compute platform for AGI, developing vertically integrated full-stack solutions from silicon to systems. We focus on hardware and software to train and run the largest ML workloads for AGI, primarily using the Rust programming language. This role involves designing and optimizing kernels that interface directly with our hardware, working in partnership with ML Research and Hardware Engineering teams, and providing expertise on hardware architecture from a programmer's perspective to ensure seamless integration with the software stack.

$160k - $275k

Figure is an AI robotics company developing autonomous general-purpose humanoid robots with the goal of shipping robots with human-level intelligence. These robots are engineered to perform a variety of tasks in both home and commercial markets. We are seeking a Reinforcement Learning Engineer to focus on the development, training, deployment, and evaluation of advanced reinforcement learning algorithms specifically for the whole-body control of our humanoid robots.

$150k - $350k

Machinify is a leading healthcare intelligence company focused on delivering value, transparency, and efficiency to health plan clients. We are seeking a hands-on, technically deep Sr/Director of Engineering to lead our ML Engineering team. This role involves managing and growing a team responsible for building and operating the company's core AI/ML platform at massive scale. You will also act as a key thought partner to the Chief AI Officer, translating data science proof-of-concepts into scalable, production-grade services. The ideal candidate possesses a blend of AI/ML engineering expertise and applied data science fluency, understanding the intricacies of productizing AI/ML capabilities including serving, observability, reliability, and scale.

Salary not listed

The Security Solutions Data Science team at Mastercard develops AI and machine learning capabilities to protect the global payments ecosystem from fraud and cyber threats. As a Senior AI Engineer, you will work at the intersection of big data engineering and AI/ML, focusing on building and supporting the data, features, models, and production processes essential for fraud detection. This role involves transforming high-volume data into reliable features for machine learning models and ensuring the robust deployment, monitoring, and improvement of these models in production environments.

$115k - $184k

NVIDIA is seeking a Senior Validation Engineer to join the DGX Server Product Engineering Team. In this role, you will collaborate with a team of hardware and software engineers to develop and implement sophisticated automated test plans for our leading GPU-accelerated computing products. You will be instrumental in ensuring the performance and reliability of cutting-edge AI hardware by developing and tuning workloads, adapting state-of-the-art AI training and inference frameworks, and applying architectural analysis to characterize workload behavior and identify bottlenecks. This position offers the opportunity to make a significant impact on the future of computing by working on AI-driven technologies.

$136k - $259k

Salesforce is seeking a highly motivated, hands-on Lead Machine Learning Engineer to define and execute the technical ML strategy for a foundation machine learning platform team. This role involves full lifecycle development and optimization of ML pipelines, with a strong focus on MLOps, infrastructure-as-code, CI/CD, and thorough monitoring. The lead will manage multiple ML pipelines, work closely with cross-functional teams, mentor others, and requires deep expertise in various ML technologies to deliver measurable business impact within a security and compliance framework. A critical component of this role is the proven ability to productize Generative AI solutions and agentic workflows to enhance the security posture and resilience for the organization and all Salesforce customers.

$173k - $260k

We are seeking a Machine Learning Engineer to join our Simulation Teams, focusing on advancing end-to-end autonomous driving research. This role is crucial for accelerating our AV2.0 development by incubating next-generation world model architectures and the synthetic data they produce. You will be responsible for building, scaling, and optimizing these models, integrating them into high-throughput generation and training infrastructure. Your work will directly impact the speed at which we can train, evaluate, and deploy driving models, bridging the gap between ML research and engineering by collaborating with scientists on architecture and platform engineers on infrastructure.

Salary not listed

SambaNova

SambaNova is seeking a highly technical and strategic Project Manager / Engineering Lead to own and advance our engagement with a key strategic partner. This role will serve as the central hub for all technical, operational, and strategic activities, ensuring the technical success of joint projects, managing complex deliverables, leading a cross-functional engineering team, and deepening the customer relationship. The ideal candidate will possess a unique blend of deep technical understanding of AI/ML systems, exceptional project management skills, and strong customer-facing abilities, with fluency in both Japanese and English.

JPY 150k - JPY 200k