"ml" Jobs
180 open tech roles matching “ml”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, Machine Learning. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 180 results
Lead a team to build Anthropic's scheduling platform and improve fleet efficiency in a fast-paced AI environment.
Join Snorkel AI as an Engagement Manager to drive customer success in delivering high-quality datasets for AI systems.
Lead the Research Data Platform team at Anthropic to enhance data systems for AI research, ensuring usability and trustworthiness.
Lead the Technical Deployment team for Financial Services at Anthropic, ensuring high-quality AI solutions for strategic clients.
Own the program for delivering new Claude models into public sector environments at Anthropic.
Join Kalshi as a Quant Researcher to build and own quantitative models for the fastest-growing financial market in America.
Join AirOps as a Product Engineer to design and launch AI-powered products that enhance user experiences.
Lead impactful customer technical projects by delivering production-grade systems using the Databricks platform.
Join SecurityScorecard as a Senior Site Reliability Engineer to lead the design and optimization of Kubernetes-based infrastructure.
Join Anthropic as a Staff+ Software Engineer to design and build systems for cloud portability in AI infrastructure.
Own the roadmap and execution for Snorkel AI's Infrastructure organization, focusing on internal platforms and security systems.
Lead and build the Forward Deployed Engineering team to deliver high-quality datasets for critical AI initiatives.
Join Inductive Bio to help accelerate drug discovery through innovative AI-driven solutions.
Join Tennr as a Backend Engineer to architect scalable systems that enhance patient care and streamline healthcare workflows.
Lead the Infrastructure team at Formation Bio to enhance reliability and operational efficiency in AI-driven drug development.
Lead and grow the Network Value engineering team to enhance mental healthcare through data-driven insights and product development.