At a Glance
- Tasks: Lead AI and simulation research to improve public policy decision-making.
- Company: Innovative startup transforming public institutions with AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a founding team in a dynamic environment with potential for career advancement.
- Why this job: Make a real impact on society by shaping evidence-based policies.
- Qualifications: 2-3 years in ML systems or research, strong Python skills, and interest in public sector issues.
The predicted salary is between 68205 - 80000 £ per year.
Governments and policymakers make decisions that shape millions of lives, but they still operate with slow research cycles, fragmented evidence, and expensive consultant reports that often arrive only after programs have launched. We believe AI can help public institutions make better decisions: faster, more evidence-based, more responsive, and more accountable to the people they serve. Our platform helps public institutions synthesize evidence, simulate how policy choices may affect people, budgets, and outcomes before rollout, monitor real‑world results, and continuously improve decisions over time.
The role involves extending the frontier of simulations and LLMs in the fields of policy and social sciences. You’ll be leading these efforts to benchmark various models on problems across the policy spectrum. This is a hybrid role: part applied researcher, part production engineer.
Day To Day, You’ll:
- Move fluidly between research and production, collating research, prototyping ideas and turning it into useful product.
- Benchmark simulations on new policy problems across fields.
- Build specialised research agents for social and economic policy.
- Own the AI/ML layer end‑to‑end: data pipelines, model selection, inference infrastructure, monitoring, and the feedback loops that make it better over time.
- Sit in on user research and customer calls so your work is grounded in real workflows, not assumptions.
You’re a fit if:
- 2–3 years building ML systems in production – at a startup, research lab, or product team OR 2–3 years research experience in ML or applied stats.
- Strong Python and a solid grasp of modern ML tooling, experience fine‑tuning models.
- A track record of going from research idea to working system, with a clear point of view on what’s hype and what’s real.
- Comfort with ambiguity, sparse specs, and the gap between “the model can do this” and “users can rely on this.”
- Genuine interest in public sector problems.
Nice to have:
- Exposure to government, policy, or public‑sector consulting.
- Published research, open‑source contributions, or strong writing about applied ML, especially in regulated or sociological domains.
- Experience in econometrics, causal inference.
Additional Information:
- Contract Type: Full‑Time
- Location: Paris, London, Brooklyn
- Possible partial remote
FOUNDING ENGINEER - RESEARCH in Harrow employer: STATION F
As a pioneering force at the intersection of AI and public policy, our company offers an exceptional work environment that fosters innovation and collaboration. With a strong commitment to employee growth, we provide opportunities for team members to engage in meaningful research that directly impacts societal outcomes, all while enjoying a flexible hybrid work culture across vibrant locations like Paris, London, and Brooklyn. Join us to be part of a mission-driven team that values your contributions and empowers you to shape the future of decision-making in the public sector.
