Salary guide
| Measure | Annual pay (USD) |
|---|---|
| 25th percentile | $205,000 |
| Median | $234,000 |
| 75th percentile | $256,000 |
| Lowest listing | $127,000 |
| Highest listing | $500,000 |
| Listings counted | 100 |
| Company | Open listings | Median pay |
|---|---|---|
| Waymo | 12 | $238,000 |
| NVIDIA | 9 | $204,000 |
| 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 | 92 | $232,000 | $205,000 to $257,000 |
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.
Nebius · 3mo ago
As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment.
This role owns the infrastructure that makes large-scale training and RL experiments possible, reliable, reproducible, and efficient. The work sits at the intersection of distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering.
We’re hiring a Senior Machine Learning Engineer to join our AI team, reporting directly to the Head of AI. Signals tell you what happened. Our job is to explain why — and that is the problem you will work on.
This is a hands-on MLOps engineering role. You will work across model training and refresh workflows, APIs, orchestration, data pipelines, production monitoring, and user-facing experiences such as model dashboards and training controls.
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.
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.
Midjourney · 1mo ago
Own the tissue-class segmentation and labeling models for the ultrasound CT clinical analysis layer, and the pipelines that make them trainable and verifiable.
Job Description This role is a hands-on builder for CELSTARTAB’s portfolio companies, focused on developing AI/ML systems and data platforms that unlock new value from data.
We’re hiring an ML Engineer (P3) to build and ship the AI systems that power Checkr’s core products. This role sits on the ML team inside Checkr’s Data & ML organization within Engineering.
Roblox · 6d 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.
You have trained LLMs to be SOTA on specific tasks. You have opinions on whether sequence-level or token-level importance ratios are more effective. You probably shared the ScaleRL paper in your group chats, and kicked off a few ablations after you read it.
The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform.
Airbnb · 4mo ago
The Relevance and Personalization team at Airbnb is responsible for search and recommendation across the entire Airbnb digital platform.
Rocket Lab · 7d ago
Develop computer vision algorithms and deep neural networks for image and video processing chains. Collaborate with other researchers/engineers on artificial intelligence, machine learning, and computer vision.
Pacific Northwest National LaboratoryNew · 2d ago
At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.
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.
Own end-to-end machine learning initiatives from problem formulation and offline evaluation to production deployment and online A/B testing, driving measurable lifts in user engagement, retention, and trading activity.
Architect and deploy the multi-agent framework for agent assist, internal SOP execution, and secure LLM-powered actions, building scalable systems that handle millions of customer interactions.
Own the design and reliability of ML inference infrastructure serving both predictive models and LLMs, maintaining high availability and low latency at scale. Build and optimize low-latency streaming pipelines that deliver fresh, high-quality feature data to production ML models.
the role and team · 5d ago
Operating across key business areas like grocery and food, the Consumer Incentives team drives Uber's growth and long-term profitability.
Safety Benchmarking: Design and maintain safety benchmarks for large language and multimodal models, translating risk scenarios into test cases, datasets, and scoring rubrics.
Build and deliver innovative Metropolis AI solutions powered by Cosmos world foundation models, addressing real-world requirements in intelligent video analytics, perception, and physical AI.
Designing end2end solutions for Perception and AV stack to enable traffic signal detections across various driving environments from complex intersections to rural roads to highways.
The Payments org at Airbnb is responsible for everything related to settling money in Airbnb’s global marketplace and makes the Payment experience as delightful, magical, intuitive, and easy as possible.
Work closely with AI & ML application teams to design seamless workflows for continuous model training, inference, and monitoring. Lead technical execution, conduct code and design reviews, and author high-impact code for critical system paths.
Our teams apply machine learning, optimization, and software engineering to solve complex problems for customers, shoppers, retailers, brands, and internal partners.
We are looking for a Senior Machine Learning Engineer with a strong Operations Research background to join the Service Availability & Routing team within Instacart's Logistics organization.
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.
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.
Technical Leadership & Vision: Act as the technical authority for the Agentic AI roadmap, steering engineering pods from initial research prototyping through to production scale.
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.
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.
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.
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.
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.
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.
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.
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.
We are in search of an experienced Senior AI/ML Engineer to develop and broaden fraud and abuse detection systems. You will improve ML techniques in anomaly detection, user/device risk analysis, identity and service abuse, and evolving AI abuse scenarios.
neatdevs-llc-7d0fa42a-132d-4c14-8d7f-acadebdcd4ad · 8d ago
Design and build custom software for AI/ML pilots, including Google Gemini-based capabilities. Build GenAI features: RAG, prompt-driven workflows, tool/function calling, simple AI agents - and evaluate their outputs.
The median Senior Machine Learning Engineer salary in our $100k+ listings is $234,000 a year, based on 100 live USD listings. The middle half of listings pays $205,000 to $256,000. These figures cover only listings that publish a salary of $100k+ or more, so they sit above pay for Senior Machine Learning Engineer roles overall.
Individual $100k+ Senior Machine Learning Engineer listings range from $127,000 to $500,000 a year. The 25th percentile of listing midpoints is $205,000 and the 75th percentile is $256,000.
The companies with the most open $100k+ Senior Machine Learning Engineer listings are Waymo (12 listings, median $238,000), NVIDIA (9 listings, median $204,000), 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
Long Beach, Canada
