Machine Learning Engineer, Anonymization at Mercor

ABOUT MERCOR Mercor is defining the future of work. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. ABOUT THE ROLE As a Machine Learning Engineer focused on Anonymization at Mercor, you will be critical in designing and implementing our industry-best data privacy pipeline. You'll operate at the intersection of advanced ML techniques, sensitive data handling, and robust backend engineering. Your primary focus will be shipping production systems that employ state-of-the-art anonymization and de-identification methods, ensuring maximum utility of our vast data network while maintaining the highest standards of data integrity and regulatory compliance. This role requires bringing deep statistical and modeling rigor to challenging problems in privacy-preserving data access. What You’ll Do - Design, implement, and productionize advanced ML models and techniques (like federated learning, differential privacy, or synthetic data generation) for data anonymization. - Build and maintain the core backend infrastructure and APIs to securely process and serve anonymized data at Mercor's scale. - Benchmark our anonymization pipeline against industry best practices and regulatory standards (e.g., k-anonymity), continuously running experiments to improve both privacy guarantees and data utility. - Collaborate cross-functionally with Legal, Security, and Engineering teams to translate compliance requirements into robust, model-driven solutions. - Act as the subject matter expert on data anonymization, flexing between applied ML, complex data pipeline engineering, and driving architectural decisions for data privacy. What We’re Looking For - Strong backend engineering skills (ex. Python/Django or similar) plus a solid foundation in applied ML and statistics. - Proven experience shipping production systems or ML-driven products end-to-end. - High ownership and comfort operating in ambiguous, fast-changing environments. - Demonstrated knowledge of industry best practices and common frameworks for data privacy and security. Why Mercor - Impact: Your work powers how the world’s leading AI labs train and test their models. - Learning: Get early insights into frontier model capabilities months before the market. - Growth: Work on both infrastructure and research-adjacent projects with fast paths to ownership. Benefits - Generous equity grant vested over 4 years - A $10K housing bonus (if you live within 0.5 miles of our office) - A $1.5K monthly stipend for meals - Free Equinox membership - Health insurance