Member of Technical Staff, Model Training
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At a glance
Requirements
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Job overview
Parallel Web Systems is hiring a Member of Technical Staff, Model Training. Parallel is a web infrastructure company seeking a Member of Technical Staff to own the training pipeline for models powering its search stack and AI agents. This role involves building paths from product usage to high-quality training data, fine-tuning and evaluating models, and shipping them to traffic used by millions. The ideal candidate has deep intuition on modern models and training, including transformer fine-tuning and data curation.
Key focus areas include Own the training pipeline behind the models that power Parallel’s search stack and agents, Build the path from real product usage to high-quality training data, and Fine-tune and evaluate models rigorously.
Successful candidates bring Deep Intuition On Modern Models And Training, Think Rigorously About Ranking, Retrieval, And Agent Behavior, and Care About Research Applied To Product. Preferred (not required): Transformer Fine-Tuning, Data Curation, Label Quality, and Ranking.
Skills & qualifications
Skills
Qualifications
Benefits
Full 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:
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Own customer impact: It’s on us to ensure real-world outcomes for our customers.
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Obsess over craft: Perfect every detail because quality compounds.
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Accelerate change : Ship fast, adapt faster, and move frontier ideas into production.
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Create win-wins : Creatively turn trade-offs into upside.
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Make high-conviction bets : Try and fail. But succeed an unfair amount.
Compensation & benefits
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Competitive salary
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Generous equity
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Visa sponsorships
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401K plans
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Daily lunch & office snacks
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Dinner at the office
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Unlimited vacation
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Caltrain pass reimbursement
You've read the whole posting — now see how you match it.