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 |
Develop and maintain high-performance, low-latency end-to-end planning algorithms that enable vehicles to safely, accurately, and reliably navigate highway, urban, and parking scenarios in production autonomous driving applications.
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.
Capital OneNew · 1d ago
In this role at Finance Tech, you will be playing a lead role as part of Finance Tech horizontal AI enablement teams in developing/deploying best practices and end user facing AI usecases for Finance LOB.
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
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.
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.
As a Staff Machine Learning Engineer, you'll design, build, and scale production ML systems spanning deep learning, behavioral modeling, embeddings, and agentic AI. You'll write code, train models, run experiments, and help shape the architecture the broader team builds on.
Design and build agentic frameworks from scratch, including planning, tool use, orchestration, state management, and multi-agent coordination.
As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine learning, scheduling, and optimization algorithms to maximize the efficiency and performance of our infrastructure.
Raydar is recruiting for this role on behalf of our client. Design, train and deploy machine learning models that make real-time risk calls in a payments setting, owning the data pipelines, evaluation and metrics behind them.
Technical Leadership & Vision: Act as the technical authority for the Agentic AI roadmap, steering engineering pods from initial research prototyping through to production scale.
The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI assistants to find their next home.
The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI assistants to find their next home.
Design, build, and deploy machine learning models and systems that operate reliably at scale in production. Build and maintain ML infrastructure including feature stores, model serving platforms, and real-time inference pipelines.
We’re looking to hire a Senior Machine Learning Engineer to build models and data-driven systems that help classify, label, and enrich vast amounts of Internet data, providing direct value to customers and other parts of our organization.
Serve as a hands-on technical lead for an AI/ML engineering team, providing technical guidance, architectural direction, and AI implementation strategy. Design, build, train, integrate, deploy, and maintain production-ready AI/ML models and applications in secure environments.
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
Build manufacturing data foundations. Architect and integrate end-to-end manufacturing data systems (MES, testers, cloud) across the supplier network to capture accurate production data.
How can we use vast amounts of proprietary and internet-scale healthcare data to build systems that enable access to significantly better health care?
Every car on Plug starts with a number: what is this EV worth today, and what will a dealer pay for it tomorrow? Those numbers come from our models. They draw on auction results, market data, vehicle telematics and battery health.
Just Food Company · 5d ago
As a Machine Learning Research Engineer, you will work at the intersection of machine learning, scientific research, and practical implementation.
IntelliPro Group Inc. · 8d ago
We are hiring a strong AI Engineer to help us train, fine-tune, and serve the generative models that power these avatars.
Build and deploy machine learning models that power core products, serving millions of Snapchatters. Apply modern ML techniques to solve large-scale, real-world problems. Own the full ML lifecycle from data analysis to production deployment.
Capital OneNew · 1d ago
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
Capital One · 20d ago
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
Capital One · 20d ago
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems. Collect, analyze, and synthesize findings from data and build intelligent data-driven model. Write clean, efficient, and sustainable code.
As a Mid-Level AI & Machine Learning Engineer, you will be joining a team of talented and passionate engineers focused on creating the next generation of AI features to make Fieldwire the World’s best Construction Management Platform!
The Personalization team at Peloton is looking for a machine learning engineer to drive personalization and recommendations for our highly engaged members across multiple platforms.
As a Senior Machine Learning Engineer , you will be a driver of technical execution within the ML team. You won’t just build models—you’ll own the end-to-end lifecycle of high-impact ML projects, from offline experimentation to deployment to production.
The Core ML team in Community Support is the team responsible for adopting the Agentic AI technologies to enable an intelligent, scalable and exceptional customer service experience. We are responsible for developing the Chat AI assistant, Voice AI Assistant and more!
Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas. Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models.
Build, develop, and maintain high-performance runtime and compiler components, focusing on end-to-end inference optimization. Define and implement mappings of large-scale inference workloads onto NVIDIA’s systems.
Together, we focus on how models behave in production, not just on benchmarks. Evaluate and improve Small Language Models used in GeForce G-Assist, with an emphasis on accuracy, robustness, and conversational reliability.
As a Senior Machine Learning Engineer within Zillow’s Rich Media Experiences team, you’ll join a group focused on helping people better understand homes through immersive, AI-powered experiences.
Job Title: Principal Machine Learning & Silicon Yield Engineer. Broadcom is seeking a highly specialized semiconductor professional with experience in predicting wafer-level yield and optimizing PPA, from SoC telemetry and volume ATE production test data.
We’re hiring for a Senior AI/ML Engineer, Growth & Marketing AI to help us build the next generation of AI-powered growth and marketing capabilities at Chime.
This position is needed to build and scale the pipelines that turn raw conversation data into structured, searchable customer memory, and the evaluation systems that keep that memory accurate as the product evolves.
Design, build, and own scalable data pipelines that automate data discovery, selection, and curation to meet DNN training data needs.
Our partner is looking for a Senior Machine Learning Engineer based in the United States. The Senior Machine Learning Engineer will develop and scale advanced machine learning solutions that transform complex operational data into accurate, reliable customer experiences.
Develop innovative machine learning technology and products that serve millions of Snapchatters. Work on state of the art generative pipelines for image, video, language or audio generation. Deliver generative machine learning experiences on device.
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
