Staff ML Engineer: End-to-End Model Training & Deployment

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

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.