Staff ML Systems Engineer - Ranking & Retrieval

Parallel; San Francisco (CA); On-site; USD 120,000 - 160,000; 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 seeking a candidate in San Francisco to manage the multi-stage ranking pipeline that identifies the best web query results. The ideal candidate will possess a strong intuition for relevance and feature engineering. This position requires a rigorous approach to evaluation based on real-world outcomes.

At Parallel, the work is fully in-person, fostering a collaborative environment where innovation thrives. The benefits include competitive salary, equity, unlimited vacation, and more.

Qualifications

• Strong analytical skills and experience in ranking and retrieval systems.
• Ability to think rigorously about model training and application.
• Experience in optimizing performance for high-usage products.

Responsibilities

• Own the multi-stage ranking pipeline for selecting the best query results.
• Push precision and recall across candidate retrieval and ranking processes.
• Evaluate query performance based on real usage outcomes.

Skills

Deep intuition for relevance

Feature engineering

Understanding quality, latency, and cost trade-offs

Job description

Parallel is seeking a candidate in San Francisco to manage the multi-stage ranking pipeline that identifies the best web query results. The ideal candidate will possess a strong intuition for relevance and feature engineering. This position requires a rigorous approach to evaluation based on real-world outcomes.

At Parallel, the work is fully in-person, fostering a collaborative environment where innovation thrives. The benefits include competitive salary, equity, unlimited vacation, and more.