About the Role
As a Senior Machine Learning Engineer on the Ranking team, you will be responsible for enhancing the quality of our ranking systems, ensuring that search, browse, and autocomplete experiences are highly relevant, personalized, and diverse.
Responsibilities
- Design and develop ML-based ranking solutions to drive improvements in key business metrics such as conversion, engagement, and user satisfaction.
- Analyze ranking performance and identify gaps in search, browse, and autocomplete experiences, focusing on relevance, personalization, attractiveness, diversification, and other quality signals.
- Innovate and optimize ranking algorithms to advance the ranking pipeline, improve ranking quality, and meet evolving business needs.
Requirements
- At least 4 years of experience with Python for machine learning and backend development.
- At least 4 years of experience developing, deploying, and maintaining machine learning models with a strong focus on ranking systems for search, recommendations, or similar applications.
- Experience in large-scale ML model training, evaluation, and optimization, with a focus on real-time inference and serving.
- Experience with big data frameworks such as Spark for processing large datasets and integrating them into ML pipelines.
- Proficiency in using tools like SQL, PySpark, Pandas, and other frameworks to extract, manipulate, and analyze data.
- Experience with data pipeline orchestration tools like Airflow or Luigi to manage and automate workflows for ML training and signal delivery.
Benefits
- Unlimited vacation time.
- Fully remote team.
- Work from home stipend.
- Apple laptops provided for new employees.
- Training and development budget for every employee.
- Maternity & Paternity leave for qualified employees.
- Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results.
- Stock options.
- Regular team offsites to connect and collaborate.
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