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 |
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.
We are hiring engineers on two different 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.
We're hiring a Staff AI/ML Engineer on our Lending and Cashflow team to lead the modeling behind cash flow underwriting and surface member insight: using members' transaction and deposit data to make fair, accurate credit decisions for people that traditional credit scores…
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.
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.
In January 2024, a man paralyzed below the shoulders received a Neuralink implant. Within days he was playing chess and Civilization VI by imagining a cursor moving. That was our first product experience: computer control decoded from 1,024 electrodes in the brain’s motor cortex.
We’re seeking someone to lead the future of fraud machine learning at Ramp.
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.
On the Public Sector team, you’ll work at the intersection of agentic ML, systems engineering, and applied research, building foundational infrastructure that enables AI systems to reason, plan, and act reliably at national scale.
Join a machine learning team building vision models that interpret complex documents and turn their contents into useful inputs for language models. You will own models end to end, from research and experimentation through production deployment.
RedditNew · 3h ago
Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high.
Build the machine learning capabilities that help advertisers understand what they could achieve on Reddit and make better investment decisions.
We are looking for a Staff Machine Learning Engineer to provide technical leadership for the Retrieval and Targeting ML team.
We are searching for a Staff engineer with in-depth GenAI expertise that can help us build the future of generative products for ad creative at Reddit - best-in-class image, video and copy generators that leverage Reddit’s best practices, performance-guided generations that…
The ML Efficiency team builds the infrastructure, tooling, and optimization systems that enable machine learning engineers and researchers to train, evaluate, deploy, and operate models efficiently at scale.
We are looking for a Staff Machine Learning Engineer to provide technical leadership for the Retrieval ML team. You will lead the design and evolution of retrieval models and modeling practices that improve relevance, advertiser outcomes, and user experience at Reddit scale.
It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about.
We are looking for a Staff Machine Learning Engineer to help drive the next generation of Reddit’s ML ecosystem across recommendations, search, messaging, and foundational AI systems.
As a Staff ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit.
Build and improve large-scale ML systems, including retrieval and ranking, embeddings, and LLM-powered features. Set technical direction and deliver measurable user and business impact. Work with partner teams to shape product and technical roadmaps.
Building machine learning systems for risk at a global crypto exchange is fundamentally different from conventional ML engineering.
You will have access to the best sensor data in the world and an incredible infrastructure for testing and validation to bring new algorithms into our robotics stack.
Riot Games · 1mo ago
Design, train, and deploy real-time machine learning models to detect gameplay anomalies, automated bots, and memory-tampering exploits. Build scalable inference pipelines capable of evaluating millions of high-throughput game actions per second with minimal latency impact.
Riot Games · 1mo ago
Work closely with developers, designers, and data scientists to identify and define improvement opportunities. Refine modeling and feature strategy for using techniques such as reinforcement learning.
Riot Games · 4mo ago
Own end-to-end ML solutions for player-facing problems across personalization, game systems, and matchmaking, from problem framing through production launch and ongoing iteration.
Riot Games · 5mo ago
Design and operate AI & ML inference infrastructure, including deployment pipelines and CPU/GPU-aware orchestration. Develop CI/CD workflows that enable rapid iteration and safe promotion from development to production.
The Samsara AI team builds end-to-end AI solutions for our customers as well as core ML infrastructure for Samsara.
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.
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.
Manage the team building internal distributed frameworks for LLM training, enabling fast and automatic processes for machine learning engineers and researchers.
Scale partners with top AI labs to deliver high-quality data and accelerate GenAI progress. This role focuses on LLM post-training, offering a chance to work on cutting-edge projects in dynamic locations.
Scale AI is hiring a Machine Learning Research Scientist/Engineer for its ACE team to research data types for state-of-the-art AI agents and translate advancements into scalable solutions.
Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams.
Identify high-value opportunities where machine learning can improve subscription growth, monetization, retention, and subscriber value. Design, build, and deploy ML systems for personalization, ranking, propensity modeling, offer decisioning, and lifecycle optimization.
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.
We are looking for a Machine Learning Engineer on our Trust & Safety Engineering team to build and operate the production systems that detect and stop abuse on the platform at internet scale.
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.
Join Pinterest's Applied Research Science team to build ML systems that power creative idea discovery. Work on cutting-edge projects that help users find inspiration and plan memorable experiences.
Join Pinterest's Monetization Engineering team to develop ML models that optimize advertising and revenue. Work on cutting-edge projects in a dynamic environment across multiple tech hubs.
Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We’re looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills.
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 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
