Senior Machine Learning Engineer, Ranking

📋 Description

• Improve and evolve existing machine learning ranking models by applying strong software engineering
• Take end-to-end ownership of machine learning systems, including data pipelines, candidate
• Advance second-stage ranking models that power personalized feeds and digest emails, improving the
• Identify opportunities to apply machine learning across different product experiences and develop
• Collaborate with other machine learning engineers to design, implement, and optimize algorithms and
• Develop reusable methodologies, technical approaches, and engineering practices that enable other

🎯 Requirements

• At least 3 years of professional experience developing recommendation systems or ranking models.
• Strong understanding of the mathematical foundations underlying machine learning algorithms.
• Previous experience designing, building, and deploying end-to-end machine learning systems in
• A bachelor's, master's, or doctoral degree in Computer Science, Engineering, or a related technical
• Strong communication and interpersonal skills, with the ability to collaborate effectively in a
• Availability for meetings and real-time collaboration during the team's coordination hours, Monday

🎁 Benefits

• Medical, dental, and vision coverage, depending on the country of employment.
• Equity refreshers and, in eligible countries, access to a flexible equity program that may allow a
• Remote work reimbursement.
• Paid time off.
• Employee assistance programs.
• Additional benefits that vary according to the country of employment.