Salary guide
| Measure | Annual pay (USD) |
|---|---|
| 25th percentile | $271,000 |
| Median | $281,000 |
| 75th percentile | $319,000 |
| Lowest listing | $129,000 |
| Highest listing | $560,000 |
| Listings counted | 134 |
| Level | Listings | Median pay |
|---|---|---|
| Mid-level | 14 | $280,000 |
| Senior | 24 | $272,000 |
| Country | Currency | Listings | Median pay | Middle half |
|---|---|---|---|---|
| United States | USD | 124 | $281,000 | $272,000 to $320,000 |
| Canada | USD | 5 | $255,000 | $255,000 to $259,000 |
This role involves managing a team dedicated to accelerating machine learning systems. You'll work on cutting-edge AI projects in a mission-driven environment focused on safety and societal benefit.
Anthropic · 2y ago
Design and implement machine learning models for agent capabilities, ensuring interpretability and safety. Collaborate on scalable AI solutions with a focus on real-world applications.
The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly.
Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior.
A growing part of that work depends on lightweight detection methods trained on model internals, which let us identify harmful behavior cheaply and at scale. This work feeds directly into Anthropic's Responsible Scaling Policy commitments.
With a dual mandate to accelerate researchers and enable frontier scale, we’re building a unified, modular runtime that meets researchers where they are and moves with them up the scaling curve.
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.
The Autonomy Behaviors team is responsible for producing our vehicle’s driving trajectory. As a Principal ML Engineer, you will lead the technical development of machine learning algorithms for our next-generation ML Planner.
The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence.
Contribute to cutting-edge AI/ML research that can be applied to Pinterest challenges across Ads, Discovery, Growth, and Search. Identify, scope, architect, build, and deliver full, novel ML solutions from 0 to 1 at scale. Identify timelines and obtain resources needed.
Riot Games · 2mo ago
As a Principal AI/ML Platform Engineer for League of Legends , you will set ML platform and integration strategy that enables League teams to build, launch, and operate player and developer facing ML experiences.
As a Distinguished Machine Learning Engineer, you will have a seat at the table where the future of autonomous, agentic networking is designed.
Engage closely with our AI and ML research teams to discern their infrastructure requirements and barriers, converting those insights into actionable improvements. Proactively identify researcher efficiency bottlenecks and lead initiatives to systematically improve it.
Work on creating reliable, interpretable, and steerable AI systems. This role focuses on ensuring AI safety and benefits for users and society.
Work on cutting-edge AI research to develop reliable and steerable systems. Contribute to Anthropic's mission of creating beneficial AI for society.
The team’s mission is to distribute OpenAI’s API broadly and safely by enabling key API technologies in AWS-native environments, in close partnership with Amazon and internal teams across Codex, Research, Safety Systems, and Applied.
Own the technical strategy for the end-to-end Ads ML engineer lifecycle, starting with feature development, training data, offline experimentation, and model iteration workflows.
As a Senior Staff Software Engineer, you will help define and lead the vision for Reddit’s large-scale GenAI Platform, shaping the strategy, architecture, and operating model that enable teams across the company to build, deploy, and scale generative AI products with confidence.
As a Staff or Senior Staff engineer, you will be the technical lead for CAS algorithms, with a focus on CAS perception.
Join Anthropic's mission to create safe and beneficial AI systems. Work on cutting-edge reinforcement learning engineering in San Francisco, New York City, or Seattle.
True Talent Solutions PartnersNew · 1d ago
Join an AI team building large-scale models for physical systems, with weather as an initial application. You will develop the distributed infrastructure needed to train and serve foundation models, helping advance AI that can predict outcomes and identify effective actions.
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 Future of Computing Research team is an applied research team within OpenAI’s Consumer Devices group. We study how AI systems perceive people and their surroundings, and we turn that research into capabilities for future products.
Design target ROAS and automatic bidding & pacing algorithms for ads. Explore bid landscapes to maximize revenue and advertiser value. Work with product and sales teams to design and implement bidding strategies for new ad products.
Own end-to-end technical delivery for cross-team initiatives—from problem framing and technical strategy through architecture, implementation, rollout, monitoring, and iteration.
Own and advance a major technical area in automated recommendation research within Reflex, collaborating with other technical leads and partner teams.
Our Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms.
We’re looking for early members of our machine learning recommendations team. You’ll work closely with the founding team and have ownership of a wide variety of technical decisions on how we build and deploy our state of the art recommendation models.
As a Principal Machine Learning Engineer on Cisco’s CX AI Incubation and Agents team, you tackle ambiguous, high-impact challenges and lead cross-functional engagements from architecture and design through production and customer deployment.
Design User Understanding Strategy: Define a unified user understanding framework and strategy: how users are represented (embeddings, tags, attributes, LLM-based user profile), how they are computed, stored, and exposed.
We function as the "Oracle"—by reprocessing onboard logs offline using state-of-the-art ML Foundation Models, we generate semantic signals that significantly outperform real-time onboard software.
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.
Plaid · 22d ago
Owning the end-to-end technical strategy for a foundation model built on one of the world's richest financial datasets, from pretraining architecture to production serving.
This role in the Offline Driving Intelligence team is responsible for developing/learning behavior models for road users such as cars, bicycles, and pedestrians.
As a principal machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure.
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.
Waymo · 11mo 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.
We are looking for a Senior/Staff Machine Learning Engineer to be a technical leader on Nuro’s Behavior & Planning team.
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.
Preference ModelNew · 1d ago
Frontier research moves only as fast as its infrastructure permits. We are looking for Senior ML Infrastructure Engineers to build the infrastructure and systems that power the frontier of post-training on large language models .
We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research.
The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation.
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.
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.
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.
The median Machine Learning Engineer salary in our $300k+ listings is $281,000 a year, based on 134 live USD listings. The middle half of listings pays $271,000 to $319,000. These figures cover only listings that publish a salary of $300k+ or more, so they sit above pay for Machine Learning Engineer roles overall.
Individual $300k+ Machine Learning Engineer listings range from $129,000 to $560,000 a year. The 25th percentile of listing midpoints is $271,000 and the 75th percentile is $319,000.
Median pay by level in our $300k+ listings: mid-level $280,000 (14 listings), senior $272,000 (24 listings). Levels with fewer than 5 listings are left out.
The companies with the most open $300k+ Machine Learning Engineer listings are Waymo (18 listings, median $281,000), Reddit (18 listings, median $276,000), Zoox (10 listings, median $299,000), Pinterest (8 listings, median $290,000) and OpenAI (6 listings, median $422,000).
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
