Research Engineer

Distributional, a Series A company, is revolutionizing AI testing with their modern enterprise platform designed to make AI systems safe, reliable, and secure. They're tackling the complex challenge of testing non-deterministic AI-enabled applications, backed by top-tier investors and deep industry experience.

As a Research Engineer at Distributional, you'll be at the forefront of developing novel research methodologies for AI-powered systems testing. The role combines computational statistics and machine learning to create comprehensive testing solutions. You'll work closely with the Product team to identify opportunities for platform improvement, conduct scholarly research, run experiments, and translate successful findings into production features.

The position offers a unique opportunity to shape the future of AI testing while working in a remote-first environment with hubs in Toronto, NYC, and the Bay Area. The company values collaboration, hosting three annual in-person off-sites to maintain team cohesion. They offer competitive compensation ($200,000-$300,000) and comprehensive benefits, including full health coverage options, flexible time off, and professional development support.

This role is perfect for experienced professionals with a strong background in machine learning and statistics who are passionate about improving AI system reliability. You'll have the autonomy to drive research projects while collaborating with a dynamic team in a fast-paced environment. The company's commitment to diversity and inclusion ensures a welcoming workplace for all backgrounds and experiences.