The opportunity
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.
What you'll do
Design, build, and deploy machine learning models for real-time applications,: including translating state-of-the-art research into production-ready solutions
Design and implement feature pipelines, model training workflows, and serving: infrastructure using Lyft's ML platform
Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement
Partner with ML engineers, product managers, data scientists, and software: engineers to align ML initiatives with business goals
Leverage data-driven insights to inform and refine ML strategies and solutions
Write production-level code and participate in code reviews to ensure quality: and share knowledge across the team
What they're looking for
- BS/MS in Computer Science, or a related field
- + years of experience in machine learning modeling 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
