Turn on analytics and we load Google Analytics: Google gets the pages you open and what you do here — searches, jobs you view, jobs you apply to — and sets its own cookies. Leave it off and the only cookies we set are your login, your theme, and this answer. Accept All also records a yes to advertising, which nothing uses yet. Privacy Policy.
91 open listings · Page 2 of 4
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
Accenture
This role involves operationalizing machine learning models within data pipelines, using Airflow and PySpark to manage workflows and generate automated alerts. It suits experienced data engineers or ML engineers who want to focus on model deployment, data processing, and pipeline optimization rather than model research and development.
Listed on Accenture’s careers site · Apply there ↗
Comcast
DC - Washington, 1325 G ST NW STE 300 · $142,651 – $213,977
This role involves building scalable backend systems in Golang that power a multimodal ML platform handling video, image, and document processing at scale. It's ideal for a mid-level engineer comfortable with Kubernetes, AWS infrastructure, and integrating LLMs and agent frameworks into production services.
Listed on Comcast’s careers site · Apply there ↗
Expedia Group
Seattle, WA · $184,500 – $258,000
Senior machine learning engineer building and optimizing the systems that connect travel supply, pricing, and inventory across Expedia's global marketplace. This role suits experienced ML engineers who can design production systems, mentor others, and own features end-to-end from modeling through deployment and operations.
Listed on Expedia Group’s careers site · Apply there ↗
Protege
Remote
A machine learning engineer role focused on building evaluation infrastructure and benchmarks for AI models at an early-stage data platform company. This suits engineers with ML experience who want to own full-stack infrastructure problems and work closely with customers and researchers to shape a new product vertical.
Listed on Protege’s careers site · Apply there ↗
Taskrabbit
Full-time · San Francisco, CA · $170,000 – $225,000
Taskrabbit is seeking a Staff Machine Learning Engineer to own and architect their core ranking system, which determines how jobs are matched to Taskers across the platform. The role combines hands-on technical work with mentorship and cross-functional leadership, ideal for someone with deep production ML experience who thrives as a system architect and team multiplier.
Listed on Taskrabbit’s careers site · Apply there ↗
Anyscale
San Francisco, CA · $170,000 – $199,000 · Remote
This role combines technical support with machine learning expertise, helping customers successfully deploy and scale AI applications on Anyscale's distributed computing platform. It suits experienced ML practitioners who enjoy troubleshooting complex systems, mentoring others, and collaborating across engineering teams to solve customer challenges.
Listed on Anyscale’s careers site · Apply there ↗
Motional
Full-time · Boston, MA · $144,000 – $192,000 · Remote
This role builds machine learning systems that automatically discover critical edge cases and failures in autonomous vehicle sensor data, helping improve safety through smarter data mining and analysis. It suits engineers who want to apply foundation models and representation learning to solve real-world problems at scale in a rapidly advancing industry.
Listed on Motional’s careers site · Apply there ↗
Ibotta
Denver, CO · Remote
Listed on Ibotta’s careers site · Apply there ↗
Hugging Face
Full-time · New York, NY · Remote
This role involves maintaining and improving Hugging Face's widely-used open-source machine learning libraries like Transformers and Datasets, collaborating directly with a global community of researchers and practitioners. It suits developers with a proven track record contributing to open-source ML projects who are passionate about making machine learning tools accessible and want to work on impactful ecosystem-level work.
Listed on Hugging Face’s careers site · Apply there ↗
Metropolis Technologies
Seattle, WA
Listed on Metropolis Technologies’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $220,000 – $280,000
Staff-level machine learning engineer role focused on optimizing inference for voice models like speech-to-text and text-to-speech on Together AI's platform. Ideal for someone with deep expertise in LLM serving engines and GPU optimization who wants to shape the technical direction of a foundational voice AI system.
Listed on Together AI’s careers site · Apply there ↗
Cohere Health
Full-time · United States · $225,000 – $240,000
This role leads machine learning initiatives within a healthcare platform, applying advanced models and LLMs to clinical workflows and intake automation. It suits experienced ML engineers who want deep technical work paired with mentorship and strategic influence in a high-growth healthtech company.
Listed on Cohere Health’s careers site · Apply there ↗
CesiumAstro
Full-time · Austin, TX
CesiumAstro seeks an experienced machine learning engineer to develop and deploy ML solutions for their satellite and airborne communication systems. This role partners with product, backend, and systems teams to build robust ML applications supporting space technology platforms.
Listed on CesiumAstro’s careers site · Apply there ↗
Eight Sleep
Full-time · San Francisco, CA
This role involves building machine learning systems that personalize sleep experiences through predictive models, foundation model applications, and behavior analysis. It suits engineers who enjoy owning projects end-to-end from research through production deployment and want to work on consumer health technology.
Listed on Eight Sleep’s careers site · Apply there ↗
Zencastr
New York, NY · Remote
A machine learning engineer role focused on building AI systems for podcast creation, particularly in speech processing and personalization. This suits engineers with deep ML experience who want to work on large-scale systems impacting millions of users.
Listed on Zencastr’s careers site · Apply there ↗
Krea AI
Full-time · San Francisco, CA
This role involves building and training large-scale diffusion models for image and video generation at an AI creative tools startup. It suits machine learning engineers with hands-on experience optimizing deep learning systems and a track record of shipping production models.
Listed on Krea AI’s careers site · Apply there ↗
Intuit
3 locations · $202,500 – $274,000
A Staff Machine Learning Engineer will design, build, and deploy data science models at scale within Intuit's data science team, working across the full pipeline from data preparation through A/B testing and impact analysis. This role suits experienced ML engineers comfortable with the mathematical foundations of machine learning and production software engineering practices who want to work on problems serving millions of users.
Listed on Intuit’s careers site · Apply there ↗
Sentry
San Francisco, CA · $155,000 – $400,000 · Remote
Sentry is hiring a Staff Machine Learning Engineer to build AI-driven systems that automatically triage and resolve production errors in their application monitoring platform. This role suits experienced ML practitioners who want to own high-impact projects integrating large-scale language models and agentic AI into a product used by hundreds of thousands of organizations.
Listed on Sentry’s careers site · Apply there ↗
Nextdoor
Full-time · US Remote · $205,000 – $355,000
Nextdoor is seeking a machine learning engineer to build models that personalize content, ads, and connections across their neighborhood platform. This role suits someone with production ML experience who wants to work at scale on problems affecting millions of users, in a company that values ethical AI and uses generative tools as part of the standard workflow.
Listed on Nextdoor’s careers site · Apply there ↗
Unity
Listed on Unity’s careers site · Apply there ↗
NVIDIA
Santa Clara, CA
Listed on NVIDIA’s careers site · Apply there ↗
Torc Robotics
Ann Arbor, MI · Remote
Listed on Torc Robotics’s careers site · Apply there ↗
Warner Bros. Discovery
Listed on Warner Bros. Discovery’s careers site · Apply there ↗
Voyager
2 locations
Listed on Voyager’s careers site · Apply there ↗
Workday
Listed on Workday’s careers site · Apply there ↗