Machine Learning Engineer: Personalization (Remote)

Overview

Job Description

Responsibilities

• - Build and deploy robust ML systems / algorithms for personalized product discovery experiences
• - Drive research initiatives to ensure the team adopts an innovative approach and integrates state-of-the-art techniques
• - Conceptualize and implement new personalization features and products that meet customer needs, drive revenue growth and enhance other business KPIs
• - Collaborate in architectural discussions and optimize the system architecture of the Personalization domain

Required Skills

• - Data-Driven and Customer-Focused: Able to translate insights into data-driven hypotheses and engineering solutions that drive business value
• - Passionate about experimentation, and using customer feedback to inform decisions and drive results
• - Personalization Experience: Background in personalized recommendation systems, ranking models, or search relevance
• - ML Expertise: Proficient in machine learning with hands-on experience in applying modern personalized architectures
• - Proven Ability to Deliver: Experience in building and deploying production ML systems, and using A/B testing to validate their value
• - Programming Languages and Tools: Excellent Python skills, experience with at least one DL framework, proficient in SQL, and comfortable with big data tools (Spark, Presto/Athena, Hive)
• - ML Workflow Management: Experience with data pipeline orchestration (e.g., Airflow) for automating ML workflows
• - Effective Communication: Clearly explains complex technical concepts and data insights to both technical and non-technical audiences

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
• - Regular team offsites to connect and collaborate