"representation learning" Jobs
341 open tech roles matching “representation learning”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, Python, SQL. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 341 results
Lead the development of Anthropic's BDR curriculum and enablement strategies in a fast-paced AI-focused environment.
Join Anthropic as a Staff+ Site Reliability Engineer to ensure safe AI model launches and automate deployment processes.
Join Anthropic as a Safeguards Enforcement Analyst to enhance child safety in AI systems while managing content review workflows.
Join Anthropic as a Developer Relations expert to enhance developer engagement with AI products like Claude Code and Claude Tag.
Join Anthropic as a Safeguards Enforcement Analyst to protect against AI misuse in biological contexts.
Join Anthropic as a Staff Software Engineer to shape privacy engineering in AI systems at scale.
Lead the revenue accounting team at Anthropic, ensuring compliance and efficiency as the company scales rapidly.
Lead the enablement of the Claude Platform, creating demos and training for technical teams to showcase AI capabilities confidently.
Join Anthropic's Inference team to design and maintain distributed systems that serve AI models to millions of users worldwide.
Join Anthropic as a Recruiting Research Scientist to advance recruiting practices using scientific methods in a hybrid work environment.
Join Anthropic as a Safeguards Enforcement Analyst to combat violence and extremism in AI systems.
Lead the Security Controls Assurance team to define and validate compliance controls for AI systems in a hypergrowth environment.
Own customer engagements and partner success at Anthropic, driving outcomes and building relationships with managed partners.
Drive the adoption of safe, frontier AI across state and local government agencies in the South and Central US.
Join Anthropic as the first dedicated Life Sciences Counsel, advising on complex research and commercial matters in a fast-paced AI environment.