Machine Learning Engineer: Personalization

Accountabilities • Develop and improve personalized experiences across different products, platforms, and e-commerce domains.

• Design, build, ship, and maintain high-load, real-time machine learning services supporting personalization at scale. • Model user interactions and behavioral signals to better understand shopper preferences and deliver relevant experiences. • Research and evaluate different personalization and recommendation approaches to identify opportunities for improvement. • Formulate and validate hypotheses around personalization using data, experimentation, and A/B testing. • Analyze the impact of personalization initiatives and identify opportunities to improve key business performance indicators. • Collaborate closely with technical and non-technical stakeholders to develop, refine, and evolve personalization capabilities. • Work cross-functionally with engineering and machine learning teams, including ranking teams, to deliver integrated solutions. • Communicate technical findings, recommendations, and business value clearly to stakeholders within and beyond the team. • Take ownership of problems from investigation and experimentation through implementation and continuous improvement.

Requirements:

• 3+ years of professional experience in applied machine learning. • Strong proficiency in Python and SQL, with experience using the big data stack for end-to-end machine learning product development. • Proven experience building, deploying, and maintaining personalization, recommendation, or ranking systems in production. • Practical understanding of machine learning development in high-scale, production environments. • Experience designing and analyzing A/B tests and using experimental results to guide product or model decisions. • Experience translating machine learning initiatives into measurable business value and communicating that value effectively to stakeholders. • Experience with one or more major public cloud platforms is a plus. • Excellent English communication skills, both written and verbal. • Experience working effectively in cross-functional teams with technical and non-technical colleagues. • Strong analytical and problem-solving skills, with the ability to investigate complex problems and turn findings into actionable outcomes. • Ability to work autonomously, take ownership, and make progress independently. • Proactive mindset with a strong focus on collaboration, learning, and delivering meaningful impact.

Benefits:

• Fully remote working environment, giving you flexibility over where you live. • Unlimited vacation time, with employees strongly encouraged to take at least 3 weeks of vacation each year. • Work-from-home stipend to help you create a well-equipped home office. • Apple laptop provided for new employees. • Annual training and professional development budget. • Maternity and paternity leave for eligible employees. • Regular team offsite events to connect and collaborate. • Opportunity to work with talented and empathetic colleagues who support your growth and enable you to make a meaningful impact. • Base salary of $80,000–$120,000 USD , depending on knowledge, skills, experience, and interview results. • Stock options offered in addition to the base salary.