Student Jobs

Flexible

We’re hiring a UW–Madison undergrad or graduate student to help build a small, research-driven software platform at the intersection of forecasting, applied AI, and automation. This is an engineering-first role where you’ll have meaningful ownership early.

For a period of time, you may be the primary engineer (potentially with one additional engineer joining), with an experienced operator acting as an advisor and thought partner.

What you’ll do:

• Build and maintain data ingestion pipelines and structured datasets.

• Develop evaluation and scoring workflows (accuracy, calibration, confidence thresholds).

• Create LLM-enabled “agents” that can run multi-step tasks reliably (tools, retrieval, structured outputs, guardrails).

• Design clean interfaces, scripts, and modular components so the system is maintainable and extensible.

• Implement basic operational controls (logging, retries, rate limiting, reproducibility) and keep things production-minded.

• Ship iterative improvements weekly with clear testable outputs.

Must have:

• Strong Python fundamentals (APIs, data wrangling, scripting, debugging).

• Comfort with applied statistics / probability (expected value, distributions, calibration intuition).

• Experience using modern AI tooling (OpenAI/Anthropic or similar; prompt/eval iteration; tool-using agents).

• Solid engineering workflow: Git, PRs, readable code, basic testing.

Nice to have:

• CS + Finance/Stats background (or demonstrated practical depth).

• Forecasting/prediction markets exposure (Metaculus, Kalshi, Polymarket, etc.).

• Familiarity with Cursor / Claude Code / AI-assisted dev workflows.

• Postgres, Docker, lightweight backend services, async job patterns.

Working style / expectations

• You’ll operate with a high degree of autonomy and ownership.

• You’ll define and deliver clear milestones with lightweight guidance and frequent check-ins.

• You’ll make pragmatic technical choices and document decisions.

• You’ll help shape the engineering culture early (standards, repo hygiene, CI/testing, etc.).

Time commitment

10–20 hrs/week during the semester; option to ramp during breaks/summer.

Remote or hybrid (Madison preferred).

Email CV to hello@brasoventures.com