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.
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
SAP
Contract · Mougins Cedex, FR, 06254
This is a three-year PhD research position developing an enterprise AI system that combines knowledge graphs, large language models, and autonomous reasoning to power SAP's support and service capabilities. It suits researchers with strong NLP and machine learning backgrounds who want to bridge formal knowledge representation with generative AI in an industry setting.
Listed on SAP’s careers site · Apply there ↗
CrowdStrike
Full-time · USA - Remote · $120,000 – $180,000
This role focuses on building AI agents and training large language models to automate cybersecurity workflows, working with real-world threat data and security operations processes. It suits researchers with deep machine learning expertise who want to apply post-training techniques like reinforcement learning to autonomous systems in a domain with unique, large-scale data.
Listed on CrowdStrike’s careers site · Apply there ↗
Omada Health
Full-time · Remote, USA · $174,400 – $250,700
Omada Health seeks a Senior AI Engineer to design and deploy large language model solutions that improve chronic disease management. This role suits experienced ML practitioners who want to apply cutting-edge generative AI techniques to solve real healthcare problems at scale.
Listed on Omada Health’s careers site · Apply there ↗
Full-time · Remote - United States · $230,000 – $322,000
Reddit is seeking a Staff Machine Learning Engineer to lead the development of large-scale ML systems powering recommendations, search, and content understanding across their consumer platform. This role suits experienced ML practitioners who enjoy building complex systems from research through production and want to influence product direction while mentoring other engineers.
Listed on Reddit’s careers site · Apply there ↗