4 open listings
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
R
Principal AI Engineer - Personalization and Recommendation (Remote)
Rula
Full-time · Remote - United States · $282,000 – $370,650
This role leads the design and deployment of AI and machine learning systems that power patient-provider matching and personalization across a mental healthcare platform. It suits experienced ML engineers who want to apply their expertise to high-stakes healthcare problems, shipping production systems that directly improve access to care.
Listed on Rula’s careers site · Apply there ↗
A
Senior AI Full Stack Developer (Python & React)
Accenture
Accenture seeks a senior full stack developer to build AI-powered applications combining Python backends with React frontends, integrating large language models and agentic systems into production cloud environments. This role suits experienced engineers who want to lead technically complex projects at the intersection of modern web development and generative AI.
Listed on Accenture’s careers site · Apply there ↗
Machine Learning Engineer (GoLang)
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 ↗
I
Data Scientist, Next Gen Recommendation Systems
impact.com
New York, NY · $100,000 – $125,000
A hands-on data scientist role building graph-based recommendation systems for a commerce partnership platform connecting advertisers, creators, and consumers. This suits someone with production ML experience who can own modeling projects end-to-end, from problem framing through deployment, and who thrives working across graph embeddings, retrieval systems, and experimentation in a collaborative environment.
Listed on impact.com’s careers site · Apply there ↗