Machine Learning Engineer

Overview

Job Description

Responsibilities

• - Design and Develop ML-Based Ranking Solutions: build, deploy, and optimize machine learning models to enhance search engine ranking systems, driving improvements in key business metrics such as conversion, engagement, and user satisfaction.
• - Improve Ranking Quality: 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: proactively propose new machine learning models, algorithms, and features to advance the ranking pipeline, improve ranking quality, and meet evolving business needs.
• - Collaboration with Cross-Functional Teams: collaborate with technical and non-technical business partners to develop / update ranking functionalities (both within and outside the team)

Required Skills

• - 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
• - Experience working on ranking algorithms that optimize metrics such as relevance, conversion rates, personalization, user engagement, RPV is a plus
• - Experience collaborating in cross-functional teams
• - Experience leading projects to success
• - Excellent English communication skills
• - Enjoy helping others around you grow as developers and be successful
• - Pick up new ideas and technologies quickly, love learning and talking to others about them
• - Love to experiment and use data and customer feedback to drive decision making

Benefits

• - Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• - Fully remote team - choose where you live
• - 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
• - Work with smart people who will help you grow and make a meaningful impact
• - Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
• - Stock options - offered in addition to the base salary
• - Regular team offsites to connect and collaborate