Senior Machine Learning Engineer, Recommendations (Experience)

📋 Description

• Design, build, and scale ML systems for personalized experiences.
• Develop, test, deploy, and maintain ML/LLM-based systems for real users.
• Design ML pipelines: data processing, feature engineering, training, deployment, monitoring.
• Build scalable solutions handling large user data and high-performance recommendations.
• Make tech decisions balancing performance, cost, scalability, complexity, maintainability.
• Work with distributed data platforms to create reliable ML infrastructure.

🎯 Requirements

• 4+ years software engineering with scalable production systems.
• 1-2+ years hands-on ML systems in production.
• Strong Python and Scala/Java (JVM) coding skills.
• Experience end-to-end ML model lifecycle: data prep, training, serving, monitoring.
• Experience with LLM-powered features in production.
• Familiarity with retrieval-augmented generation, model serving, modern AI architectures.

🎁 Benefits

• Flexible, inclusive environment; remote options and office collaboration.
• Relocation support with allowances and onboarding assistance.
• Employee equity plan and professional development allowances.
• Flexible vacation up to 35 days/year.
• Wellness and creativity benefits; language learning opportunities.
• Office perks and meals when onsite, DEI commitment.