Salary guide
| Measure | Annual pay (USD) |
|---|---|
| 25th percentile | $213,000 |
| Median | $238,000 |
| 75th percentile | $260,000 |
| Lowest listing | $130,000 |
| Highest listing | $500,000 |
| Listings counted | 92 |
| Company | Open listings | Median pay |
|---|---|---|
| Waymo | 12 | $238,000 |
| NVIDIA | 7 | $236,000 |
| Roblox | 6 | $269,000 |
| 5 | $260,000 | |
| Airbnb | 5 | $218,000 |
| Plaid | 4 | $272,000 |
| Pinterest Job Advertisements | 3 | $291,000 |
| Anduril Industries | 3 | $256,000 |
| Country | Currency | Listings | Median pay | Middle half |
|---|---|---|---|---|
| United States | USD | 85 | $238,000 | $213,000 to $260,000 |
Frontier AI companies are increasingly bottlenecked on expert judgment — capturing it reliably, validating it at scale, and turning it into durable model behavior. This role sits at the center of that problem.
Design and implement machine learning solutions for performance prediction and optimization of GPU accelerated enterprise Apache Spark workloads. Develop advanced algorithms and adaptive systems to continuously improve the performance of Apache Spark workloads on GPUs.
Designing end-to-end solutions for Prediction and AV stack using state of the art ML techniques to enable agents prediction across various driving environments from complex intersections to rural curvy roads to multi-level highways.
The Perception team at Zoox is responsible for the robot’s understanding of the world, fusing data from Lidar, Radar, and Cameras to create a unified representation of the environment.
Designing, building, and scaling GPU compute infrastructure, training frameworks, and experimentation tools to enable rapid iteration on ML hypotheses. Developing data pipelines and integrating large-scale data, training, and inference systems.
Leverage the latest Grok models to power all stages of our advertising stack, from candidate selection to ranking, auction, campaign optimization, creative generation, and advertiser experience. Own and operate systems and products, driving the majority of revenue.
Designing and architecting recommendation algorithms across various product surfaces. Leverage all of SpaceXSI's infra and AI stacks to dramatically enhance the user experience. Write data pipelines and training jobs that continuously learn from product data.
Research and prototype state-of-the-art approaches across graph machine learning, sequential modeling, and multimodal learning to build next-generation fraud detection capabilities.
Plaid · 2mo ago
Build and scale machine learning systems that power a rapidly growing fraud detection product in a fast-paced environment. Solve complex technical challenges at the intersection of machine learning, data infrastructure, and production reliability.
Build hands-on machine learning expertise across the full ML lifecycle, from feature engineering and experimentation to model deployment. Take models from initial experimentation through production and evaluate their impact using real-world customer outcomes.
Plaid · 2mo ago
The Embedded Insights team supports Plaid’s mission to build a world-class suite of intelligence products.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
The Core ML team is responsible for driving Airbnb Assistance Engineering initiatives by adopting Generative AI technologies to enable an intelligent, scalable, and exceptional service experience.
As a Perception Engineer, you will be instrumental in designing and implementing cutting-edge detection models, utilizing fused sensor data.
This role sits at the intersection of ML workloads, execution systems, and engineering leverage.
As a Senior Software Engineer, ML Platform, you will work on our ML Data Team and be instrumental in architecting, implementing, and maintaining foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, Ads, and much more to fulfill Reddit’s…
Build the machine learning capabilities that help advertisers understand what they could achieve on Reddit and make better investment decisions.
As a Senior ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit.
Join the Ads team as a Machine Learning Engineer and become a key contributor to Reddit’s business. In this hands-on role, you will be responsible for the full lifecycle of our ML systems, from initial research and modeling to deployment and optimization in production.
Our partner is looking for a Senior Machine Learning Engineer, Inference based in the United States. Join a high-performing engineering team developing advanced real-time voice and large language model (LLM) technology.
Join a small, senior engineering team building the ML systems behind consumer-facing products. You will shape the data pipelines, models, retrieval systems, and inference infrastructure that make intelligent product features useful and intuitive.
True Talent Solutions Partners · 6d ago
Join a small, early-stage AI team building a recommendation system for personalized advertising. You will own the matching stack end to end, from data and models through real-time serving, and help shape the system's technical priorities as it scales.
RobloxNew · 1d ago
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
Roblox · 7d ago
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Matchmaking is a critical stage downstream of Discovery and Search.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
The goal of a Senior Machine Learning Engineer at Scale is to own how we apply generative AI, agentic AI, computer vision, and reinforcement learning to mission-critical problems in production.
At Anduril, our Battlespace Awareness Command and Control Software team specializes in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations.
Anduril Industries · 28d ago
Maritime Digital Production (MDP) is the software and digital systems function within Anduril's Heavy Metal division. MDP operates at the boundary between Operational Technology and Information Technology.
We are hiring Sr ML Engineers across two teams. Admin Central is building the future of how administrators work across Workday—turning a fragmented patchwork of tools and disconnected AI into a single, unified experience.
Evaluation: Develop datasets and specialized models & algorithms to evaluate/benchmark models & end-to-end systems in our core safety tracks (LLM Security, Agentic Safety, Content Safety, Hallucinations, and ML Fairness).
Our Monetization team works on challenging problems every day.
Design, build, and scale the recommendation systems that connect new users to communities and content, from candidate generation and ranking through to online serving.
The ML Infrastructure team builds and operates the inference stack that serves SambaNova's models on RDU accelerators, from request scheduling and caching through the public APIs in SambaStack and SambaCloud.
Join an AI-focused team building the systems layer for a process intelligence platform. You will turn complex enterprise data into reliable, useful product experiences powered by hosted AI models.
Lead the design and development of large-scale RL training frameworks to accelerate the development of multi-modal AV foundation models. Design, build, and optimize simulation and data processing pipelines to enable scalable training of driving policies.
Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases.
We are looking for a Senior Machine Learning Engineer, Voice Experience to help build the next generation of AI-powered voice systems for the contact center.
Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs.
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
Waymo · 2mo ago
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
Waymo · 6mo ago
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
The median Senior Machine Learning Engineer salary in our $200k+ listings is $238,000 a year, based on 92 live USD listings. The middle half of listings pays $213,000 to $260,000. These figures cover only listings that publish a salary of $200k+ or more, so they sit above pay for Senior Machine Learning Engineer roles overall.
Individual $200k+ Senior Machine Learning Engineer listings range from $130,000 to $500,000 a year. The 25th percentile of listing midpoints is $213,000 and the 75th percentile is $260,000.
The companies with the most open $200k+ Senior Machine Learning Engineer listings are Waymo (12 listings, median $238,000), NVIDIA (7 listings, median $236,000), Roblox (6 listings, median $269,000), Reddit (5 listings, median $260,000) and Airbnb (5 listings, median $218,000).
The figures come from the salary ranges employers publish in their own job listings, collected from company career pages and applicant-tracking systems. Each listing counts once, at the midpoint of its range. Only USD listings go into the headline figures, and listings that are closed or stale are removed. The data was last refreshed on November 12, 2026.
Yes. Each listing is tagged remote, hybrid or on-site, and remote roles carry a region (US only, EMEA, APAC or global), so you can filter the live job list to the arrangement you want.
United States
Palo Alto, Canada
