Job: You will own the multi-stage ranking pipeline that narrows a web-scale set of candidates down to the handful of best passages for a query, spending the least compute necessary to do it well. You will push precision and recall across fast candidate retrieval, lightweight first-pass ranking, and heavier neural reranking, decide how much compute each query deserves, and grade everything on real usage outcomes rather than offline proxies.
You: Have deep intuition for relevance, feature engineering, and the trade-offs between quality, latency, and cost. Think rigorously about how ranking, retrieval, and agent behavior inform one another, and how to train models that serve all three. You care about your research being applied to product and systems that millions use.
Life at ParallelOur team works
fully in-person, between our Palo Alto HQ and San Francisco office. We're a flat, talent-dense organization dedicated to solving technical and creative problems.
We seek like-minded individuals who share our passion for applying science, creativity, and consistency to big and complex problems with equally big outcomes. These are our values:
- Own customer impact: It's on us to ensure real-world outcomes for our customers.
- Obsess over craft: Perfect every detail because quality compounds.
- Accelerate change: Ship fast, adapt faster, and move frontier ideas into production.
- Create win-wins: Creatively turn trade-offs into upside.
- Make high-conviction bets: Try and fail. But succeed an unfair amount.
Compensation & benefits- Competitive salary
- Generous equity
- Visa sponsorships
- 401K plans
- Daily lunch & office snacks
- Dinner at the office
- Unlimited vacation
- Caltrain pass reimbursement
