Member of Technical Staff, Model Training

About you

Have deep intuition on modern models and training, including transformer fine-tuning, data curation, and the craft of label quality. 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.

You might be a good fit if you have

• Bachelor's degree or equivalent combination of education, training, and professional experience
• A field relevant to the role as demonstrated through coursework, training, or professional experience
• Years of experience required will correlated with the internal job level requirements for this position

We believe in a fully in person work culture 5 days a week. We’re building strong offices in San Francisco, Palo Alto, Austin, and New York. Your office and in office days will depend on your team, and we will walk you through the details during the interview process. 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.

• Competitive salary
• Generous equity
• Visa sponsorships
• 401K plans
• Daily lunch & office snacks
• Dinner at the office
• Unlimited vacation
• Caltrain pass reimbursement

Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to the web.

We've raised $230 million from Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs. We're currently valued at $2 billion and we're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission.