Senior Machine Learning Engineer, Recommendations

• Design, build, and deploy end-to-end machine learning solutions for recommendations, focusing on candidate generation, personalization, user and items modeling, and core ranking
• Take ownership of the full ML lifecycle, from prototyping and evaluation to deploying scalable models into production and monitoring their performance
• Strengthen and scale the foundation for ML engineering and MLOps within the Reco-Core team, defining best practices and building tooling to enable rapid iteration
• Partner with analysts and data scientists to translate research into production-ready systems
• Collaborate with other ML engineers to leverage shared infrastructure and knowledge
• Leverage agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods

• Strong industry experience in a quantitative field (e.g., Computer Science, Statistics, Machine Learning) and/or a Ph.D./M.Sc. in a related discipline
• 3+ years of professional experience shipping large-scale ML models to production
• Strong engineering background in Python or Scala, with hands-on experience using data processing frameworks (e.g., Spark, Confluent) and vector search or nearest neighbor technologies
• Deep understanding of core recommendation concepts, including collaborative filtering, matrix factorization, deep learning for recommendations (e.g., two-tower architectures), and multi-objective ranking, with the ability to discuss trade-offs between different approaches
• Proven experience building and scaling ML infrastructure and tooling for model deployment, lifecycle management, and monitoring in a cloud environment (GCP, AWS, or Azure)
• Pragmatic approach to engineering efficiency, with a habit of leveraging modern AI-assisted workflows (e.g., Cursor, Claude Code) to accelerate development and research

The salary range for this role is $165,000 - $195,000 annually. The final salary offered will be determined based on relative experience, skills, internal equity, and location. We also offer a generous total rewards program - read more about additional benefits and perks below!, * Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources

• Robust 401k program
• Employee Equity Plan
• Generous professional development allowance
• Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
• Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
• 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
• Various snacks, goodies, and 2 free lunches weekly when at the office