San Francisco or Palo Alto
3 months ago

Job Overview

Job Type
FullTime
Pay
$150K – $300K • Offers Equity

Job description

Salary:
USD 150,000 - 300,000 per year
Location:
San Francisco or Palo Alto, United States
Work arrangement:
On-site

Member of Technical Staff, Model Training at Parallel Web Systems in San Francisco or Palo Alto, United States.

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

Salary: $150K – $300K • Offers Equity

About the Company

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.
Role:
Member of Technical Staff, Model Training
Job Type:
FullTime

Company profile

Parallel Web Systems

parallel.ai

Parallel Web Systems builds web infrastructure for AI, offering agents and tool APIs that let AI systems search, extract, monitor and reason over information on the open web. Businesses in sales, marketing, insurance and coding use its products to build AI agents with programmatic web access. Parallel has raised $230 million from investors including Kleiner Perkins, Sequoia and Index Ventures and is valued at $2 billion.

Founded
2023
Total Raised
$230M
Key Investors
Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures

More jobs at Parallel Web Systems

Similar Engineering jobs at other companies