# Senior Machine Learning Engineer, Recommendations **Company**: Lyft **Location**: San Francisco, CA **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/lyft/jobs/8430552002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_9f286ed9-8d7 ## Description At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. ## Responsibilities: - Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. - System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. - Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks , critically evaluating new research and identifying high-impact use cases across business areas. - Collaboration: Partner with ML engineers, product managers, data scientists, and software engineers to align ML initiatives with business goals. - Data-Driven Decision Making: Leverage data-driven insights to inform and refine ML strategies and solutions. - Mentorship & Technical Leadership: Provide technical direction, mentor Junior engineers, and foster a culture of learning and collaboration. - Code Quality: Write production-level code and participate in code reviews to ensure quality and share knowledge across the team. ## Experience: - M.S. or Ph.D. in Computer Science or related technical field - 5+ years (or Ph.D. with 3+ years) of experience in machine learning modelling or related fields - 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 language - Proven ability to tackle ambiguous problems and deliver solutions at scale. - Strong communication and interpersonal skills for effective cross-functional collaboration. ## Benefits: - Great medical, dental, and vision insurance options with additional programs available when enrolled - Mental health benefits - Family building benefits - Child care and pet benefits - 401(k) plan with company match to help save for your future - In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off - 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible - Subsidized commuter benefits - Monthly Lyft credits and complimentary Lyft Pink membership ## Skills ### Required - Machine Learning - Deep Learning - Python - Golang - TensorFlow - PyTorch - Statistical Concepts - Hypothesis Testing - Regression Analysis --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/lyft/jobs/8430552002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)