Member of Technical Staff, Model Training

Parallel Bio; San Francisco (CA); On-site; USD 100,000 - 140,000; 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 Bio in San Francisco is looking for a candidate to own the training pipeline behind models essential for both their search stack and agents. You will be responsible for building pathways from real product usage to high-quality training data while rigorously fine-tuning and evaluating models for safe deployment.

The ideal candidate will have a deep understanding of modern machine learning models and care about practical applications impacting millions. High-quality training on diverse data sources is essential for success.

Qualifications

• Deep understanding of modern machine learning models and training.
• Expertise in applying research to product and systems.
• Ability to rigorously fine-tune and evaluate models.

Responsibilities

• Own the training pipeline for models powering search and agents.
• Build paths from product usage to high-quality training data.
• Ensure models are shipped safely for use by millions.

Skills

Transformer fine-tuning

Data curation

Label quality

Job description

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.

Qualifications

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.

Compensation & benefits

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