Head of Research
Datawizz· Engineering
San Francisco$50k - $500kFull-timePosted 10mo ago
About the role
Head of Research at Gamut leads the applied research organization to improve agent reliability and capability, defines the roadmap across agent planning, tool orchestration, evaluation, and safety, and partners with engineering to productionize breakthroughs.
Responsibilities
- Set the research strategy and roadmap for agent planning, tool orchestration, multi-agent coordination, and evaluation.
- Build, lead, and mentor a high-caliber applied research team.
- Design and run rigorous experiments (ablations, offline/online A/Bs), defining clear metrics for reliability, accuracy, and performance.
- Own our evaluation stack: datasets, benchmarks, human-in-the-loop reviews, and reliability/safety assessments.
- Develop novel methods (e.g., agent planning algorithms, tool selection strategies, multi-agent coordination, safety/alignment techniques) and ship reference implementations.
- Collaborate with engineering to transfer research into production and measure real-world impact.
- This role is in-office, 5 days/week, based in San Francisco.
Qualifications
- Leading applied ML/NLP research teams and shipping work into production at a startup or high-growth company.
- LLM and agent internals: prompting strategies, tool use, planning/reasoning architectures, multi-agent systems, and evaluation methodology.
- Building evaluation frameworks (task suites, synthetic data, human eval pipelines) and tying metrics to product outcomes.
- Large-scale agent systems: orchestration frameworks, tool APIs, distributed execution, observability, and logging infrastructure.
- Strong coding skills in Python and a bias toward hands-on experimentation and rapid iteration.
- Data curation and labeling workflows, with attention to privacy, safety, and robustness.
- Communicating research clearly and partnering cross-functionally with engineering and product.
- (Nice to have) Publications or notable open-source contributions; patents; early-stage 0→1 experience.
Skills
Required:Research leadershipLLM and agent internalsEvaluation frameworksAgent systems and orchestrationPython
Benefits
- Competitive salary, based on experience level (Annual compensation range: $50,000 to $500,000)
- Meaningful equity
- Health, dental, and vision coverage
- Opportunity to be a founding member of a growing company
Last updated Sep 2, 2026. Interested? Apply on the company site.
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