Sr. ML Infrastructure Engineer II, Personalization

We're hiring a Sr. ML Engineer II who can operate end-to-end across the recommendation stack for Slickdeals' Personalization team. The role involves designing and shipping recommendation models, building production ML systems, and working closely with data scientists and product engineers. The ideal candidate has 8+ years of experience in designing, training, and shipping recommendation systems in production, with hands-on experience with deep learning for recsys and strong ML fundamentals.

Requirements

• 8+ years of relevant professional experience
• Demonstrated experience designing, training, and shipping recommendation systems in production
• Hands-on experience with deep learning for recsys
• Strong ML fundamentals
• Proficiency with ML modeling frameworks (PyTorch and/or TensorFlow)
• Experience with model serving platforms
• Experience working with cloud data processing technologies
• Proficiency in at least two of: Linux, Ansible, Docker, Kubernetes
• Experience in distributed computing
• Experience working with AWS or similar cloud infrastructure
• Excellent analytical and problem-solving skills

Benefits

• Competitive base salary
• Annual bonus
• Equity package
• Competitive paid time off
• Holiday time off
• Variety of healthcare insurance plans
• 401K matching above the industry standard
• Professional Development Reimbursement Program