Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Own end-to-end high-value code-data programs: evaluate frontier coding models, design human/synthetic/model-in-the-loop pipelines, run delivery and QA, manage expert labeling teams, and act as primary customer contact for AI labs.

Lead design and implementation of Mercor's code search and retrieval systems: hybrid dense-code embeddings plus lexical (BM25) retrieval, candidate generation, ranking/re-ranking, model routing, query translation from natural language, indexing pipelines, evaluation/A-B testing, and technical leadership to evolve embeddings and search quality safely at scale.

The Enterprise AI Lead will manage enterprise customer relationships, drive commercial strategy, and lead cross-functional initiatives in AI-driven solutions.

As a Software Engineer at Mercor, you'll design, build, and maintain autonomous systems for internal operations, focusing on reliability, evaluation frameworks, and collaboration with operators to enhance automation.

As a Software Engineer, Applied AI, you'll architect and implement integrations and scalable solutions for enterprise clients, focusing on technical requirements and business goals.

The Growth Partnerships Lead will identify, build, and scale partnerships, manage negotiations, and work closely with internal teams and stakeholders to drive business development initiatives.

As a Technical Recruiter at Mercor, you'll manage full-cycle hiring for technical roles, collaborating closely with senior leaders to enhance recruiting processes and systems.

The Senior Growth Lead at Mercor will manage candidate pipelines, optimize sourcing channels, and drive growth outcomes, working closely with teams across the company.

Build systems for Mercor's hiring engine, including pipelines for indexing, sourcing, scoring, and conversion. Work with ML and backend technologies.

Lead a customer-facing applied AI engineering team to deliver production-grade, cloud-native AI systems. Translate customer workflows into scalable agentic solutions, oversee deployments, evaluation and continual-learning loops, hire and mentor engineers, remove blockers, and coordinate with Sales, Product, Research, and Platform teams to ensure reliable, scalable enterprise deployments and measurable commercial outcomes.