Parallel Web Systems

Research Scientist at Parallel Web Systems (San Francisco, CA / Palo Alto, CA)

Parallel Web Systems· San Francisco, CA / Palo Alto, CA· $150k–$300k·

Role details

Salary
$150k–$300k
Work type
Onsite
Employment
Full-Time
H-1B sponsor
Yes
Skills
Machine LearningTransformer ModelsSearch AlgorithmsRecommendation SystemsModel TrainingScaling
Benefits

Competitive Salary · Generous Equity · Visa Sponsorships · 401K Plans · Daily Lunch And Office Snacks · Dinner At The Office · Unlimited Vacation · Caltrain Pass Reimbursement

Summary

Join Parallel's engineering team to research and scale models for web index serving. The role involves deep technical research on modern models, search, and transformer convergence, with a focus on applying science to product systems used by millions.

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: As one of our Researchers - you will answer the question: how to train and scale a model that can serve a web index? You: Have deep intuition on modern models and training. Like to argue how search, recommendations, and transformer models can converge. 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

Why work at Parallel Web Systems

  • Culture: Described as “fully in-person,” with locations in Palo Alto and San Francisco. The company emphasizes serendipity, flat organization, and a talent-dense environment where employees can learn from each other daily parallel.ai/careers.
  • Engineering Focus: The entire engineering team is based in Palo Alto. Roles span back-end/API, front-end, infrastructure/scaling, model training, retrieval/indexing, and search ranking. They are “AI-first,” building and dogfooding frontier software parallel.ai/careers.
  • Values: Own customer impact, obsess over craft, accelerate change, create win-wins, and make high-conviction bets parallel.ai/careers.
  • Benefits: Competitive salary, equity options, 401K plans, daily lunches & snacks, unlimited vacation, Caltrain pass, and visa sponsorship parallel.ai/careers.
  • Team Background: Talent is drawn from top companies including Meta, Patreon, Amazon Web Services, Waymo, Cognition, and Andreessen Horowitz. Alumni go on to firms like Google DeepMind, Kleiner Perkins, and other AI startups linkedin.com.

Application questions