Product Engineer

About the role

As a Member of Technical Staff on the Talent Experience team, you'll build the systems that evaluate the skills and expertise of the world's top talent at scale. Assessment is at the core of how Mercor works: every expert in our network is vetted, matched, and continuously evaluated through our assessment platform. You'll own backend-heavy, full-stack work across this platform—designing evaluation pipelines, building the services that power AI-assisted interviews and skill verification, and shipping the product surfaces that tens of thousands of candidates and experts interact with every day. You'll work directly with the Assessment product lead on roadmap and execution, with significant ownership from day one.

Responsibilities

• Design, build, and ship backend services and APIs that power Mercor's assessment platform at scale.
• Own features end-to-end—from product discussions and technical design to implementation, testing, and release.
• Build evaluation pipelines and data models that combine human judgment with AI-powered scoring.
• Contribute across the stack, including the candidate- and expert-facing product surfaces of assessment flows.
• Partner closely with Product, AI, and Data teams to translate assessment research into production systems.
• Leverage modern AI coding tools to accelerate development while maintaining a high engineering bar.
• Improve the performance, reliability, and observability of assessment infrastructure.
• Solve real customer problems and continuously improve candidate and expert experience.

Requirements

• 3+ years of professional software engineering experience building production systems.
• Strong backend fundamentals: API design, data modeling, distributed systems, and relational databases.
• Comfortable working across the stack, including modern frontend frameworks (e.g. React/TypeScript) when the product needs it.
• Experience building or integrating LLM-powered features in production is a strong plus.
• Comfortable building products using modern AI development tools (e.g. Cursor, Claude Code, GitHub Copilot, Codex, or similar) to accelerate software development.
• Strong software engineering fundamentals, including testing, debugging, and performance optimization.
• Excellent product intuition—you enjoy building products that people actually use.
• Comfortable working in fast-moving environments with evolving priorities.
• High ownership, curiosity, and a bias toward shipping.

Qualifications

• Master's degree in Computer Science, Engineering, or related field.
• Experience with large-scale data processing and machine learning.
• Knowledge of cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with NoSQL databases like MongoDB or Cassandra.
• Experience with CI/CD pipelines and continuous integration tools.

Skills

• Proficiency in programming languages such as Python, Java, or JavaScript.
• Experience with front-end technologies such as React, Angular, or Vue.js.
• Understanding of natural language processing (NLP) and its applications.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Experience with data visualization tools such as D3.js, Tableau, or Power BI.

Benefits

• Bi-annual performance bonus structure
• Generous equity grant vested over 4 years
• Up to $15k Relocation bonus
• $10K proximity bonus (if you live within 0.5 miles of our office)
• $200 monthly stipend for meals
• Free Equinox membership
• $200 monthly personal wellness reimbursement
• Health, Dental, Vision insurance
• Compensation Range: $130K - $500K