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Lead Machine Learning Developer
3 months ago
About Lyft:
At Lyft, we are dedicated to enhancing the quality of life through exceptional transportation solutions. Our commitment begins with fostering a diverse, inclusive, and open community.
With a vast number of rides completed, Lyft is tackling complex challenges in a rapidly evolving sector that leverages extensive data and innovative solutions across various domains such as Marketplace, Mapping, Fraud Prevention, and Growth. Traditional optimization methods are no longer sufficient; we are pioneering a next-generation platform that utilizes modern machine learning techniques on peta-byte scale data to revolutionize transportation and enrich lives.
Your Role:
As a Senior Machine Learning Engineer, you will be at the forefront of developing and deploying algorithms that drive our platform's essential services. The range of challenges we face is remarkably broad, spanning transportation logistics, economic modeling, predictive analytics, geographic mapping, user personalization, and adaptive control systems. We seek passionate professionals who are eager to solve intricate problems using data, build dependable machine learning systems, and thrive in a fast-paced, innovative, and collaborative atmosphere.
Key Responsibilities:
- Collaborate with Engineers, Data Scientists, Product Managers, and Business Stakeholders to implement machine learning solutions that deliver tangible business and user outcomes.
- Conduct data analysis and create proof-of-concept models to investigate and propose machine learning solutions for both new and existing challenges.
- Design and develop statistical, machine learning, or optimization models.
- Produce high-quality code to deploy machine learning models at scale.
- Assess machine learning systems against established business objectives.
Qualifications:
- Bachelor's, Master's, or Ph.D. in Computer Science or a related quantitative discipline, or equivalent professional experience.
- A minimum of 4 years of experience in Machine Learning.
- A strong passion for creating impactful machine learning models, with expertise in one or more specialized areas.
- Proficiency in programming languages such as Python or Golang.
- Exceptional communication skills and fluency in English.
- A solid understanding of machine learning methodologies, including supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed bandits.
Benefits:
- Comprehensive health and dental coverage options, including life insurance and disability benefits.
- Mental health support services.
- Family planning benefits.
- Access to a Health Care Savings Account.
- In addition to standard holidays, employees receive 15 days of paid time off, with an additional day for each year of service.
- Four floating holidays each calendar year, prorated based on the date of hire.
- Ten paid sick days annually, regardless of location.
- Eighteen weeks of paid parental leave for all eligible parents.
Lyft is committed to building a diverse workforce and ensuring equal employment opportunities for all individuals, free from discrimination based on various protected characteristics. We also prioritize a safe and healthy workplace, strictly prohibiting any form of harassment. Accommodations for individuals with disabilities will be provided upon request during the application and hiring process.
