Senior Machine Learning Engineer, Recommendations

ABOUT THE ROLE We are seeking a highly skilled Senior Machine Learning Engineer to lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems for the Rider Applied AI team at Lyft. As a strategic thinker, you will balance high-level system architecture with hands-on technical implementation, collaborating across teams to shape the future of ride-sharing by leveraging AI, Machine learning, and Data science. WHAT YOU'LL DO As a Senior Machine Learning Engineer, your responsibilities will include: - Designing, building, and deploying machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. - Architecting scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. - Staying ahead of the curve by exploring emerging algorithms, technologies, and frameworks, critically evaluating new research and identifying high-impact use cases across business areas. - Partnering with ML engineers, product managers, data scientists, and software engineers to align ML initiatives with business goals. - Leveraging data-driven insights to inform and refine ML strategies and solutions. - Providing technical direction, mentoring Junior engineers, and fostering a culture of learning and collaboration. - Writing production-level code and participating in code reviews to ensure quality and share knowledge across the team. WHAT YOU'LL NEED To be successful in this role, you will need: - A Master's degree or Ph.D. in Computer Science or a related technical field. - 5+ years of experience in machine learning modeling or related fields, or Ph.D. with 3+ years of experience. - Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks. - Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning. - Experience with translating state-of-the-art ML research into production systems. - Proficiency in Python, Golang, or other programming languages. - Proven ability to tackle ambiguous problems and deliver solutions at scale. - Strong communication and interpersonal skills for effective cross-functional collaboration. WHY REMOTE This role will be performed remotely, with occasional in-office requirements. Lyft is committed to creating an inclusive workforce that fosters belonging and strives for a healthy and safe workplace. BENEFITS Lyft offers a comprehensive benefits package, including: - Extended health and dental coverage options, along with life insurance and disability benefits. - Mental health benefits. - Family building benefits. - Child care and pet benefits. - Access to a Lyft-funded Health Care Savings Account. - RRSP plan with company match to help save for your future. - Flexible paid time off policy, allowing team members to take off as much time as they need (with manager approval). - 18 weeks of paid time off for new parents, designed as a top-up plan to complement provincial programs. - Subsidized commuter benefits and Lyft ride credits.