Top AI & Machine Learning Jobs

The role involves pioneering machine learning techniques, developing advanced AI models, building data pipelines, and translating prototypes into products in code analysis.

Design and build the backend for Verified Autonomous Remediation: a high-throughput remediation engine, resilient agent architecture, secure sandboxed execution for untrusted AI-generated code, safety mechanisms (circuit breakers), scalable AWS services, and telemetry to validate and iterate remediation workflows.

The role involves developing AI models for code analysis, enhancing ML techniques specific to programming, and collaborating to integrate prototypes into products.

As a Machine Learning Scientist, you'll innovate in code analysis using AI and LLMs, develop advanced ML models, and collaborate to enhance software quality assurance.

Design and implement end-to-end AI agents and full-stack internal tools, build and maintain core AI infrastructure (agent orchestration, vector DBs, RAG), deploy scalable cloud services, drive AI-driven process automation, and establish governance and best practices.

Design and implement end-to-end AI agents and full-stack internal tools, build core AI stack (agent orchestration, RAG, vector DBs), deploy scalable cloud services, lead AI transformation, establish governance, and mentor junior engineers.

The role involves developing solutions for AI-generated code post-training, collaborating with a team, and innovating new products with a focus on high-quality coding standards.