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.
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.
In this role, you will join the Agent Access Policies sub-team within Okta Secures AI as a Staff Machine Learning (ML) Engineer to advance Okta's authorization capabilities.
In this role, you will join the Agent Access Policies sub-team under Okta Secures AI as a Principal Machine Learning (ML) Engineer to advance Okta's authorization capabilities.
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.
Our customers increasingly need those same models on hardware we don't control: non-NVIDIA accelerators, edge servers, and embedded platforms with their own inference runtimes, operator sets, and constraints.
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.
Our Monetization team works on challenging problems every day.
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 · 2mo ago
The Embedded Insights team supports Plaid’s mission to build a world-class suite of intelligence products.
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.
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.
ClickUp is seeking an experienced Machine Learning Engineer to join our Search team. You'll own the ML systems that power search relevance for millions of users and ground our AI in the right context.
At ZipRecruiter, we sit on a massive universe of data—over a billion archived job postings, tens of millions of dynamic job seekers, and billions of impressions, clicks, and application events.
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 Personalization team at Peloton is looking for a machine learning engineer to drive personalization and recommendations for our highly engaged members across multiple platforms.
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 · 2mo 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.
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’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.
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.
| Level | Median | Listings |
|---|---|---|
| Mid level | $260k | 19 |
| Senior | $231k | 102 |
343 Machine Learning Engineer jobs paying $100k+ are listed on Six Figure Jobs. The average salary is $248k USD. Every listing shows its salary range from the employer’s posting. Use the filters to narrow by seniority, location, skills or work type.
San Francisco Bay Area Hybrid, USA
Toronto, Canada
