Salary guide
| Measure | Annual pay (USD) |
|---|---|
| 25th percentile | $206,000 |
| Median | $242,000 |
| 75th percentile | $278,000 |
| Lowest listing | $100,000 |
| Highest listing | $560,000 |
| Listings counted | 307 |
| Level | Listings | Median pay |
|---|---|---|
| Mid-level | 19 | $260,000 |
| Senior | 101 | $232,000 |
| Country | Currency | Listings | Median pay | Middle half |
|---|---|---|---|---|
| United States | USD | 283 | $244,000 | $207,000 to $280,000 |
| Canada | USD | 12 | $232,000 | $182,000 to $255,000 |
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.
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 · 7mo 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.
Design, train, and deploy machine learning models to automate the creation of Waymo's HD maps, unlocking scale for the Waymo Driver. Own the complete model development lifecycle, from data mining and processing to model training, evaluation, validation, and productionization.
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.
Design, build, and optimize realistic simulation environments and business logic running on TPUs using JAX and TensorFlow. Implement and optimize large-scale model and data parallelism strategies for training and running foundation models on TPU hardware.
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 CS AI product team is responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience.
AI Engineering and Delivery is the customer-obsessed engineering group building the agentic AI and enterprise-scale search systems that power Now Assist, AI Agents, and the AI-driven experiences our customers rely on every day.
The Perception team at Zoox is responsible for how our purpose-built robotaxi understands the world, including what happens inside the cabin.
The Trust team is responsible for developing the technology that helps protect our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards.
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.
Midjourney · 4mo ago
Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements.
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.
Robinhood · 1mo ago
We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Expectations are high, and so are the rewards. The AI Platform & Agentic Apps team builds the agent platform behind every AI agent at Robinhood.
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.
Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs.
The Machine Learning Platform team builds the foundational technology that scales machine learning innovation across Upstart.
The ML team builds and optimizes the models that run on SambaNova's RDU accelerators. Their work covers model architecture, training and fine-tuning, inference optimization, evaluation, and data curation, and it lands in SambaStack and SambaCloud.
Join Scale's Public Sector ML team to deploy LLMs, agentic models, and multimodal pipelines in government environments. This role focuses on model evaluations for critical applications.
We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes…
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.
As a Machine Learning Engineer, you’ll build the models that power performance optimization at Coframe.
You’ll shape how Lila’s AI models are adapted to customer-specific scientific needs, with a focus on turning frontier model capabilities into reliable workflows that can be evaluated, iterated and used in real customer contexts.
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.
This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions.
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).
Shape the direction of our applied AI areas and intelligence features in our products .
Title: Staff Machine Learning Engineer. Location: 1325 Boylston Street, Suite 10000, Boston, MA 02215. Duties: Applying understanding of company products and services and introducing technology innovations with respect to functionality, performance, reliability, and scalability.
Anyscale is looking for a Software Engineer to join the ML Developer Experience (MLDevX) team. MLDevX owns the experience layer of the Anyscale platform: the interfaces through which users and coding agents discover, configure, run, observe, debug, and productionize AI workloads.
We are looking for a machine learning professional with experience applying ML to sensor data, such as LiDAR, radar, and cameras. This role lies at the intersection of machine learning and 3D simulation at Zoox, ranging from learned sensor models to neural 3D reconstruction.
Autonomous driving software today improves mostly by hand: engineers collect data, train models, and tune modules. This role explores a different approach, in which AI agents take part in that work. Agents propose changes to policy code, data, training recipes, or model code.
The median Machine Learning Engineer salary in our $100k+ listings is $242,000 a year, based on 307 live USD listings. The middle half of listings pays $206,000 to $278,000. These figures cover only listings that publish a salary of $100k+ or more, so they sit above pay for Machine Learning Engineer roles overall.
Individual $100k+ Machine Learning Engineer listings range from $100,000 to $560,000 a year. The 25th percentile of listing midpoints is $206,000 and the 75th percentile is $278,000.
Median pay by level in our $100k+ listings: mid-level $260,000 (19 listings), senior $232,000 (101 listings). Levels with fewer than 5 listings are left out.
The companies with the most open $100k+ Machine Learning Engineer listings are Waymo (39 listings, median $238,000), Reddit (19 listings, median $276,000), Capital One (19 listings, median $206,000), Zoox (13 listings, median $295,000) and NVIDIA (13 listings, median $204,000).
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
Canada
