
AI Model Developer
21 hours ago
As a machine learning engineer at our company, you will be working on building and deploying AI models that drive business results.
Our platform uses large-scale models to predict job performance with greater accuracy than human interviews. We are a fast-growing startup that has scaled from $1M to $100M in revenue in 11 months.
Key Responsibilities
- Define key metrics for ranking, interview analytics, and payouts systems.
- Design and run A/B tests and quasi-experiments; turn results into product decisions within a week.
- Develop source-of-truth dashboards and lightweight data models so teams can self-serve answers.
- Instrument events with engineers; improve data quality and latency from ingestion to insight.
- Prototype quick models (from baselines to gradient boosting) to improve matching and scoring.
- Evaluate LLM-powered agents: design rubrics, human-in-the-loop studies, and guardrail canaries.
Qualifications
- 0–2 years of experience in machine learning engineering or a similar field; BS/BA in a quantitative field (or equivalent work).
- Strong SQL; Python for analysis; comfort with experiment design and causal thinking.
- Communicates clearly with engineers, PMs, and leadership; turns analysis into action.
- Nice-to-haves: dbt, dashboarding (Hex/Mode/Looker), marketplace or search/recommendation metrics, LLM/agent evaluation.
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