As a Senior Machine Learning Engineer in the Search Quality team, you will improve the e-commerce experience for hundreds of millions of users across the world by building the systems that power relevance for global retailers - from fashion and grocery to electronics and hardware.

The mission is to measure search quality, push it higher, and catch degradations before the user does. You will achieve this through a blend of fine-tuned LLMs for relevance judgment, real-time models, and deep offline analysis of query logs.

About the Job

Your primary focus will be relevance evaluation and quality improvements:

LLM-based evaluation. We fine-tune our own models to assess relevance. This involves teaching the model to understand query intent, represent items from messy catalog data, and align model judgments with real user behavior.
Real-time quality in production. Reranking, filtering, signal computation. Latency is a strict requirement, so quality vs speed tradeoff is constant.
Automated quality monitoring and agentic insights. Pipelines to detect degradations and find underperforming patterns. Agent-based systems that generate actionable recommendations for the product data and search configurations.

What makes this interesting

Multi-domain, multi-language, at scale - 40+ languages, 20+ domains. The models need to generalize across all of them - without per-customer rules or overrides.
No universal ground truth. A grocery retailer and a fashion retailer may have different perceptions on what "relevant" means.
Efficiency at scale. Optimizing and scaling LLM inference across our entire customer base.

Requirements

4+ years shipping production ML systems
Experience with search, information retrieval, or recommendation systems
Hands-on experience with fine-tuning, evaluation frameworks, and scaling LLM deployments
Strong Python and PyTorch. Fluency in SQL and data orchestration tools (Spark, Airflow)
Experience designing and running A/B tests to validate model impact
Excellent English communication skills
Experience collaborating in cross-functional teams (ranking, product, data engineering)

Benefits

Work with smart and empathetic people who will help you grow and make a meaningful impact.
Regular team offsite events to connect and collaborate.
Fully remote team - choose where you live.
Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
Work from home stipend! We want you to have the resources you need to set up your home office.
Apple laptops provided for new employees.
Training and development budget for every employee, refreshed each year.
Maternity & Paternity leave for qualified employees.
Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results
Stock options - offered in addition to the base salary

Machine Learning Engineer: Search Quality

Anywhere in the world

Remote

Senior

Constructor