At a Glance
- Tasks: Develop advanced algorithms and collaborate on innovative machine learning projects.
- Company: Join Lyft, a leader in transforming transportation through technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic, collaborative environment with a focus on real business impact.
- Why this job: Shape the future of transportation with cutting-edge machine learning solutions.
- Qualifications: M.S. or Ph.D. in Computer Science and 3 years of ML experience required.
The predicted salary is between 135000 - 165000 $ per year.
Embark on a challenging career as a Machine Learning Engineer at Lyft, focused on developing advanced algorithms that enable the future of transportation.
Engage in a collaborative and creative environment.
We at Lyft are searching for a passionate Machine Learning Engineer skilled in leveraging data to create impactful solutions.
You will collaborate with diverse teams to tackle a variety of problems that span multiple domains.
This role requires you to innovate in a fast-paced environment while applying your expertise to influence real business outcomes.
Key
Responsibilities
- Partner with various stakeholders to implement machine learning
- Perform exploratory data analysis to validate ML solutions
- Build statistical and machine learning models effectively
- Develop and deploy high-quality code for ML systems
- Measure ML systems against defined business goals
Requirements
- M.
S. or Ph.
- D. in Computer Science or related fields
- At least 3 years of practical machine learning experience
- Proficiency in Python, Golang, or comparable languages
- In-depth knowledge of ML techniques and methodologies
- Strong communication skills in English
Advance your career by building innovative machine learning systems that shape the future at Lyft. #J-18808-Ljbffr
Innovative Machine Learning Engineer in Toronto employer: Lyft, Inc.
Lyft is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and collaboration is key. As a Machine Learning Engineer, you will have access to cutting-edge technology and the opportunity to work alongside talented professionals in a fast-paced environment, all while contributing to meaningful projects that redefine transportation. With a strong emphasis on employee growth and development, Lyft offers numerous resources and support for your career advancement, making it an ideal place for those looking to make a significant impact.