Product ML Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and enhance systems for production recommendations and rankings.

• Create personalization models that cater to various stages of the eCommerce customer journey.

• Engage in candidate generation, retrieval, ranking, and re-ranking methodologies.

• Design customized product feeds, carousels, content sequencing, and next-best-action scenarios.

• Contribute to forecasting use cases related to customer behavior, demand, and product levels.

• Integrate recommendation systems with search functionalities and conversational shopping experiences.

• Establish and monitor both offline ML metrics and online product metrics.

• Design and implement experiments and A/B tests to validate product hypotheses.

• Construct scalable inference services and ML APIs.

• Enhance feature pipelines, training workflows, monitoring systems, and internal ML tools.

• Collaborate with Data Platform and backend teams to ensure the accessibility of behavioral and transactional data.

• Engage in architectural discussions and participate in technical decision-making processes.

• Assist Product teams in transforming business challenges into quantifiable ML problems.

• Influence the roadmap, architecture, tools, experimentation strategies, data needs, and overall direction of recommendation systems.

⛳️ Requirements

• Over 5 years of experience in production ML / Machine Learning Engineering.

• Extensive commercial experience with recommendation systems.

• Proficient in Python and SQL.

• Familiarity with ranking, retrieval, candidate generation, collaborative filtering, embeddings, learning-to-rank, or similar recommendation techniques.

• Experience in building and maintaining production ML systems.

• Knowledge of offline ML metrics and online product/business metrics.

• Proficient in A/B testing and experimentation methodologies.

• Strong grasp of the complete ML lifecycle, including experimentation, deployment, monitoring, and iteration.

• Experience in developing APIs or production inference services.

• Good understanding of data pipelines along with behavioral or transactional data.

• Familiarity with MLOps, CI/CD, observability, and ensuring production reliability.

• Solid foundations in software engineering principles.

• Proven experience in making technical decisions and owning solutions.

• Ability to operate independently within ambiguous settings.

• Excellent communication skills and a collaborative attitude.

• Ability to work directly with Product teams to clarify requirements, challenge assumptions, and develop solutions.

• English proficiency assessment is part of the hiring process.

• Capability to work as a contractor or under a B2B contractor arrangement.

🏝️ Benefits

• Fully remote work environment.

• Flexible working hours.

• Core team hours from 10:00-16:00 CET (flexible based on the team).

• 20 paid vacation days plus 12 holidays each year.

• 3 days of sick leave.

• Medical insurance provided after the probation period.

• Reimbursement for equipment (laptops, monitors, etc.).