Machine Learning Engineer: Ranking & Personalization

Accountabilities

• Design, develop, deploy, and maintain scalable, real-time machine learning services that power ranking and personalization across e-commerce products, platforms, and industry verticals.
• Enhance personalized shopping experiences by developing and refining recommendation, ranking, and discovery capabilities based on user behavior and preferences.
• Analyze user interactions and behavioral data to build effective models that deliver more relevant and engaging customer experiences.
• Research, evaluate, and implement different personalization approaches to identify solutions that maximize customer value and business performance.
• Formulate and validate hypotheses through experimentation and A/B testing, measuring the impact of personalization improvements on key business metrics.
• Collaborate with engineering teams, including ranking specialists, as well as cross-functional technical and non-technical stakeholders to develop and continuously improve personalization features.
• Communicate findings, technical decisions, and business outcomes clearly to stakeholders, translating complex machine learning concepts into actionable insights.
• Take ownership of problems from investigation through implementation, continuously improving the reliability, scalability, and effectiveness of production systems.

Requirements

• At least 3 years of professional experience in applied machine learning, with a strong understanding of how to develop and deploy ML solutions in real-world environments.
• Proficiency in Python, SQL, and big data technologies, with the ability to support end-to-end machine learning product development.
• Proven experience building, deploying, and maintaining production-grade personalization, recommendation, or ranking systems.
• Practical knowledge of designing and analyzing A/B tests and using experimental results to guide product and model improvements.
• Experience with a major public cloud platform is an advantage.
• Strong analytical and problem-solving skills, including the ability to investigate complex challenges, identify root causes, and translate findings into practical solutions.
• Excellent English communication skills, with the ability to explain technical concepts and demonstrate business value to diverse stakeholders.
• Experience working effectively in cross-functional teams, balancing technical priorities with product and business objectives.
• Ability to work autonomously, manage responsibilities independently, and take initiative in identifying opportunities for improvement.
• A proactive, collaborative mindset, combined with empathy, accountability, and a genuine interest in delivering impactful machine learning solutions.

Benefits

• Competitive compensation: Annual base salary ranging from $80,000 to $120,000 USD, depending on skills, experience, qualifications, and interview results.
• Stock options: Equity opportunities in addition to the base salary.
• Fully remote work: Work remotely and choose where you live.
• Flexible time off: Unlimited vacation, with employees strongly encouraged to take at least three weeks off annually.
• Home office support: A work-from-home stipend to help you create a comfortable and productive workspace.
• Equipment provided: Apple laptops supplied to new employees.
• Learning and development: An annual training and development budget to support professional growth.
• Family support: Maternity and paternity leave for eligible employees.
• Team connection: Regular team offsites that encourage collaboration, relationship-building, and shared learning.
• Supportive culture: Work alongside talented, empathetic colleagues in an open and cooperative environment that values ownership, inclusion, and meaningful impact.