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Member of Technical Staff, Model Training

Parallel
Full Timestaff
San Francisco or Palo AltoPosted 17 days ago

Role Overview

Parallel is hiring a Member of Technical Staff, Model Training. This is a full-time role in San Francisco or Palo Alto. posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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SparkPipelineCompensationBenefitsABOUTUSParallelAI

Job description

ABOUT US

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.

Job: You will own the training pipeline behind the models that power both Parallel’s search stack and Parallel’s agents. On the search side, that means the rankers, classifiers, and query models that surface the right information. On the agent side, that means the models that help our agents plan, reason, and execute high-value tasks over web data. You will build the path from real product usage to high-quality training data, fine-tune and evaluate these models rigorously, and ship them safely to traffic used by millions.

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.

LIFE AT PARALLEL

Our 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

About Parallel

Parallel logo

Parallel

parallel.ai

On-site

10 other open roles at Parallel on TryApplyNow.

Frequently Asked Questions

How do I apply for the Member of Technical Staff, Model Training position at Parallel?

Use the Apply button above to submit your application directly to Parallel. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Member of Technical Staff, Model Training position at Parallel located?

This position is based in San Francisco or Palo Alto. Parallel has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Member of Technical Staff, Model Training at Parallel earn?

Parallel has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Member of Technical Staff, Model Training role at Parallel posted?

This role was posted on June 23, 2026 (17 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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