Senior Machine Learning Engineer, Recommendations

Who you are

You have 5+ years of experience in machine learning engineering, with a strong background in developing and deploying machine learning models that solve real-world business problems. You are proficient in Python and have hands-on experience with frameworks such as TensorFlow and PyTorch, enabling you to build robust ML systems that can handle large-scale data. Your analytical skills allow you to interpret complex datasets and derive actionable insights, making you a valuable asset in any data-driven environment.

You are a critical thinker who enjoys tackling challenging problems and are passionate about leveraging data to drive business outcomes. You thrive in collaborative settings, working closely with cross-functional teams to ensure that machine learning solutions align with business goals. Your ability to communicate complex technical concepts to non-technical stakeholders is a key strength, allowing you to bridge the gap between data science and business strategy.

Desirable

Experience with data visualization tools and techniques is a plus, as it enhances your ability to present findings effectively. Familiarity with cloud platforms such as AWS or GCP can also be beneficial, as it allows you to deploy machine learning models in scalable environments. A background in transportation or logistics can provide additional context for the challenges faced in this role.

What you'll do

As a Senior Machine Learning Engineer at Lyft, you will be responsible for developing and launching algorithms that power various aspects of our platform, including recommendations, mapping, and safety features. You will work with large datasets, utilizing modern machine learning techniques to create solutions that enhance user experience and operational efficiency. Your role will involve collaborating with product managers, data scientists, and software engineers to define project requirements and deliver impactful results.

You will design and implement machine learning workflows, ensuring that models are trained effectively and deployed in a reliable manner. This includes conducting experiments to validate model performance and iterating on solutions based on feedback and data analysis. You will also be involved in mentoring junior engineers, sharing your expertise and fostering a culture of learning within the team.

Your contributions will directly impact Lyft's ability to provide safe and efficient transportation solutions, making your work both challenging and rewarding. You will have the opportunity to explore diverse problems across various domains, from personalization to fraud detection, ensuring that no two days are the same.

What we offer

Lyft offers a collaborative and inclusive work environment where you can thrive and grow your career. We provide competitive compensation packages, including salary and benefits that reflect your experience and contributions. You will have access to resources and support to help you succeed in your role, including opportunities for professional development and continuous learning.

Join us in our mission to improve people's lives through innovative transportation solutions. At Lyft, you will be part of a team that values diversity and encourages you to bring your unique perspective to the table. We believe that a diverse workforce drives better outcomes and fosters creativity, and we are committed to creating an environment where everyone can belong and succeed.