Member of Technical Staff, Model Training

Parallel Web Systems; New York (NY); On-site; USD 150,000 - 300,000; Full time

Benefits offered by this job

Competitive salary

Generous equity

Visa sponsorships

401K plans

Daily lunch & office snacks

Dinner at the office

Unlimited vacation

Caltrain pass reimbursement

Job summary

Parallel Web Systems builds web infrastructure and AI-powered agents with web access. You will own the training pipeline behind models powering our search stack and our agents, shaping ranking, retrieval, and planning models, and shipping high‑quality data pipelines used by millions.

You will refine models, evaluate them rigorously, and collaborate with a cross‑functional team in a fully in‑person setting between Palo Alto and San Francisco.

Qualifications

• 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

Responsibilities

• Own training pipeline behind models powering Parallel’s search and agents
• Develop and refine rankers, classifiers, and query models
• Create data pipelines from product usage to training data, fine-tune and evaluate models
• Ship high-quality models and data to traffic used by millions

Education

Bachelor's degree or equivalent

Field relevant to the role

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.

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.

The role

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.

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

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

Compensation Range: $150K - $300K