Machine Learning Engineer Jobs in Seattle

Anduril Industries

Anduril Industries is a defense technology company focused on transforming military capabilities with advanced technology. The Developer Platform team builds critical infrastructure to enable engineering teams to deliver mission-critical defense systems. This role will optimize release pipelines, CI/CD workflows, and develop productivity-enhancing tools. You will architect data infrastructure for engineering metrics and directly impact the productivity of the entire software engineering ecosystem, supporting Anduril's mission to solve critical defense challenges through advanced technology.

$220k - $292k

NVIDIA's Seattle Robotics Lab is seeking a Senior Robotics Research Scientist to contribute to fundamental and applied robotics research across perception, planning, control, and learning. This role involves developing and integrating algorithms and models for robotic manipulation and loco-manipulation, aiming to transform research paradigms and transfer innovations into NVIDIA's robotics and simulation products. The scientist will play a pivotal role in achieving ambitious goals within the next 2-3 years, requiring exceptional research and engineering skills, a proven track record, and a team-first mentality. Collaboration with academic and product teams, as well as mentoring junior researchers, will be key aspects of this position.

$192k - $357k

NVIDIA is seeking an outstanding Software Engineer to join its US-based networking software team. As a technical leader, you will drive the transformation of AI networking systems, applying deep expertise to manage complex customer engagements and influence product and architecture direction. This role offers a significant opportunity to impact NVIDIA's networking technologies and the broader industry, working in a diverse and supportive environment where innovation is encouraged.

$184k - $357k

NVIDIA is seeking a scientist at the intersection of quantum device physics, quantum calibration, and machine learning to help accelerate the quantum ecosystem. This role will focus on designing and building real-time models that learn from device physics, calibration experiments, decoding, and system performance. You will develop physics-informed data synthesis pipelines, post-trainable model architectures, and practical benchmarks for the quantum community. Your research will translate qubit physics and the quantum control stack into performant AI systems for fault-tolerant quantum computing, spanning synthetic training data generation, surrogate modeling, and co-optimized calibration-decoding pipelines. You will collaborate with teams across Product, Engineering, and Applied Research to push the frontier of Accelerated Quantum Supercomputers.

$192k - $305k

Stripe

The Radar ML team builds the machine learning systems that power Stripe’s Radar fraud and abuse product suite. Our models make real-time decisions across a significant share of internet commerce, helping businesses stop fraud, increase authorization, and grow safely. By turning economy-scale datasets into compelling ML products, the team directly improves customer outcomes and drives meaningful revenue for Stripe. The team is growing and expanding into multiple new areas, building abuse protections across the full customer life-cycle, adaptive and customizable fraud systems for enterprises, and risk intelligence for over 50 global payment methods. You will own ML problems from conception to production, analyzing new fraud and abuse patterns, experimenting with model architectures, designing evaluations, deploying models, and monitoring performance. Your work may include developing transformer architectures for payment data, building graph-powered intelligence, leveraging LLMs to detect emerging attacks, or rapidly prototyping new protections.

Salary not listed

The Robotic Visual Perception and Learning research group at NVIDIA is seeking highly motivated PhD students for research internships. This role focuses on pushing the boundaries of computer vision, robotics, and machine learning with real-world impact. Interns will have the opportunity to publish their work in top-tier conferences and collaborate with experienced mentors, with carefully crafted projects tailored to their expertise.

$0k - $0k

OpenAI

We are seeking a Machine Learning Engineer to spearhead the technical direction for ML-powered experimentation and insights. This role involves building production systems that leverage privacy-protected data to generate evidence-backed insights and inform decision-making, helping teams identify promising ideas for live testing. This is a comprehensive, end-to-end role where you will work across various domains including ML modeling, retrieval and LLM systems, statistical methods, simulation, data and training pipelines, backend services, and user-facing product experiences. The core challenge lies in ensuring that insights and predictions are not only plausible but also traceable, calibrated, useful, and safe enough to guide real product decisions. You will design systems that explicitly address uncertainty, backtest against historical data, compare predictions with online results, learn from discrepancies, and gracefully abstain when evidence is insufficient, all while maintaining clear review and approval processes as automation advances.

$437k - $485k