Member of Technical Staff: ML Training & Agent AI

Parallel Web Systems; California; On-site; USD 180,000 - 250,000; 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 is a web infrastructure company seeking a senior ML engineering role focused on building and maintaining the training pipeline for models powering both search and agent systems. You will drive data curation, model fine-tuning, and rigorous evaluation to ensure high-quality training data for production.

Our team operates fully in-person across our Palo Alto HQ and San Francisco office, collaborating to push the boundaries of large-scale AI systems used by millions of users.

Qualifications

• Deep intuition on modern models and training.
• Experience with transformer fine-tuning, data curation, and label quality.
• Ability to align research with product and systems used by millions.

Responsibilities

• Own the training pipeline behind models powering both search and agent stacks.
• Build paths from real product usage to high-quality training data; fine-tune and evaluate models.
• Ship trained models safely to traffic used by millions.

Skills

Model training

Transformer fine-tuning

Data curation

Label quality

Ranking & retrieval

Agent behavior

Job description

Parallel is a web infrastructure company seeking a senior ML engineering role focused on building and maintaining the training pipeline for models powering both search and agent systems. You will drive data curation, model fine-tuning, and rigorous evaluation to ensure high-quality training data for production.

Our team operates fully in-person across our Palo Alto HQ and San Francisco office, collaborating to push the boundaries of large-scale AI systems used by millions of users.