Machine Learning Engineer

Gitcode; San Francisco (CA); Hybrid; USD 141,000 - 176,000; Full time

Benefits offered by this job

Medical insurance

Mental health benefits

Family building benefits

Child care & pet benefits

401(k) with company match

Discretionary PTO

Paid parental leave

Subsidized commuter benefits

Lyft credits

Lyft Pink membership

Job summary

Lyft in San Francisco is seeking a Machine Learning Engineer to design, develop, and deploy real-time ML systems. The role emphasizes transitioning research into production and partnering with product, data science, and software teams to solve business challenges.

Candidates typically hold BS/MS in CS or related field with 2+ years of ML experience and strong Python/TensorFlow or PyTorch skills. In-office on a hybrid schedule; 3 days weekly; competitive pay and comprehensive benefits.

Qualifications

• BS/MS in CS or related field; strong academic background favored.
• Advanced degrees can be advantageous for research-focused roles.
• Certifications and a solid project portfolio are beneficial.

Responsibilities

• Design, build, and deploy ML models for real-time applications.
• Create feature pipelines, training workflows, and serving infra.
• Evaluate performance against KPIs, run experiments, iterate.

Skills

2+ years ML experience

Strong communication

Cross-functional collaboration

Education

BS/MS in Computer Science or related field

Tools

TensorFlow

PyTorch

Python

Golang

Job description

Machine Learning Engineers in San Francisco can expect to earn between $120,000 and $180,000 annually. This range can vary based on experience level, specific skills, and the size and type of the employing company. Senior roles with extensive experience may command higher compensation packages.

A Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field is generally expected. Advanced degrees, such as a Ph.D., can be advantageous for research‑focused roles. Relevant certifications and a strong portfolio of projects are also beneficial.

Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. This includes data preprocessing, feature engineering, model training, evaluation, and implementation into production systems. They also collaborate with cross‑functional teams to understand business needs and translate them into technical solutions.

Machine Learning Engineer

94103 $120,000 - $180,000 per year Lyft

Job 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, Driver, Marketplace, and beyond. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business.

We are seeking a Machine Learning Engineer to join the Fulfillment team and lead the design, development, and deployment of state‑of‑the‑art machine learning 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 machine learning and data science.

Responsibilities

• 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

Experience

• BS/MS in Computer Science, or a related field
• 2+ 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
• 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

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in‑office to foster a collaborative work environment and company culture. This role will be in‑office on a hybrid schedule – team members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Your recruiter can share more information about the various in‑office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.

The expected base pay range for this position in the San Francisco area is $140,800 - $176,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.