Research Scientist

ABOUT THE ROLE Develop benchmarks and evaluation methods for assessing advanced language models. This research and engineering role combines hands-on AI research with building practical evaluation systems, helping shape how models are tested before deployment. WHAT YOU'LL DO - Evaluate newly released AI models across a range of capabilities and use cases. - Build benchmarks from the ground up, including dataset creation and coordination with labelers. - Develop research findings and contribute to publications on evaluation methods. - Improve automated methods for evaluating generated text. - Work with engineering teams to implement and scale evaluation approaches in production systems. - Collaborate with AI labs and enterprise customers to understand evaluation needs and define research initiatives. WHAT WE'RE LOOKING FOR - At least 3 years of full-time AI or machine learning research experience, especially in benchmarking, model evaluation, NLP, or language models. - A track record of published research, ideally in NLP or benchmarking, alongside an interest in translating research into applied systems. - Strong Python skills and experience building clean, maintainable software, including HTTP services with Django, Flask, or similar frameworks. - Hands-on experience with PyTorch or TensorFlow, language modeling, and relevant AI/ML infrastructure and techniques. - Experience designing benchmarks and evaluation methodologies. - Strong computer science fundamentals and experience collaborating through Git workflows, code reviews, and cross-functional feedback. - A degree in computer science, machine learning, or a related field; a master's or PhD is preferred. Candidates with a bachelor's degree and 1 to 3 years of applied experience may also be considered. - Experience in an AI startup, research lab, or early-stage company is helpful. COMPENSATION & BENEFITS Base salary: $150,000 to $200,000 annually. Visa sponsorship is available. LOCATION On-site in San Francisco, California, United States.