Head of Evaluation and Oversight Research

Head of Evaluation and Oversight Research Scale AI is the leading data and evaluation partner for frontier AI companies, playing an integral role in advancing the science of evaluating and characterizing large language models (LLMs). Our research focuses on tackling the hardest problems in scalable oversight and the evaluation of advanced AI capabilities. We collaborate broadly across industry and academia and regularly publish our findings.

Our Research team is shaping the next generation of evaluation science for frontier AI models and works at the leading edge of model assessment and oversight. Some of our current research includes :

Developing AI-assisted evaluation pipelines, where models help critique, grade, and explain outputs (e.g. RLAIF, model-judging-model).

Advancing scalable oversight methods, such as rubric-guided evaluations, recursive oversight, and weak-to-strong generalization.

Designing benchmarks for frontier capabilities (e.g. reasoning, coding, multi-modal, and agentic tasks), inspired by efforts like MMMU, GPQA, SWE-Bench.

Building evaluation frameworks for agentic systems, measuring multi-step workflows and real-world task success.

You will Lead a team of research scientists and engineers on foundational work in evaluation and oversight.

Drive research initiatives on frameworks and benchmarks for frontier AI models, spanning reasoning, coding, multi-modal, and agentic behaviors.

Design and advance scalable oversight methods, leveraging model-assisted evaluation, rubric-guided judgments, and recursive oversight.

Collaborate with leading research labs across industry and academia.

Publish research at top-tier venues and contribute to open-source benchmarking initiatives.

Remain deeply engaged with the research community, both understanding trends and setting them.

Qualifications Track record of impactful research in machine learning, especially in generative AI, evaluation, or oversight.

Significant experience leading ML research in academia or industry.

Strong written and verbal communication skills for cross-functional collaboration.

Experience building and mentoring teams of research scientists and engineers.

Publications at major ML / AI conferences (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) and / or journals.

About Us At Scale, our mission is to develop reliable AI systems for the world\'s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world\'s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and / or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor\'s Know Your Rights poster for additional information. We comply with the United States Department of Labor\'s Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Base salary range for this role in San Francisco, New York, Seattle : $260,000—$350,000 USD. Compensation packages include base salary, equity, and benefits for eligible roles. Your recruiter can share more about the specific salary range for your location during the hiring process, and confirm eligibility for equity grants.

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