Member of Technical Staff, Model Training

About 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.

Responsibilities

• 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.

Requirements

• Deep intuition on modern models and training, including transformer fine-tuning, data curation, and the craft of label quality.
• Rigorously think about how ranking, retrieval, and agent behavior inform one another, and how to train models that serve all three.
• Care about your research being applied to product and systems that millions use.

Qualifications

• Experience with transformer-based models and their training.
• Strong understanding of machine learning principles and techniques.
• Experience with data curation and label quality.
• Ability to work effectively in a fast-paced, collaborative environment.

Skills

• Transformer fine-tuning
• Data curation
• Label quality
• Model evaluation
• Collaboration and teamwork

Benefits

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

Pay

Compensation Range: $150K - $300K

Schedule

Full-time, remote-friendly position