200+ applicants

Company

Original Job Post

Lyft · 1 week ago

Machine Learning Software Engineer

San Francisco County, CA

Full-time

Hybrid

Mid Level

$124K/yr - $155K/yr

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Responsibilities

Partner with Machine Learning Engineers, Data Scientists, Software Engineers and Product Managers to develop advanced systems for business and user impact

Collaborate with cross-functional teams to understand requirements and translate them into technical solutions

Evaluate when to build and when to reuse existing components including open source solutions

Continuously research and stay updated with the latest advancements in machine learning and natural language processing

Participate in code reviews, provide constructive feedback, and uphold best practices in ML engineering

Create and maintain comprehensive documentation for models, experiments, and processes

Write production quality code that scales with use

Help establish roadmap and architecture based on technology and our needs

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonGolangMachine Learning FundamentalsSupervised LearningLarge Language ModelsForecastingRecommendation SystemsReinforcement Learning Communication SkillsSoftware EngineeringML LibrariesData MungingSQLSparkDeep LearningPyTorchTensorflowCloud ServicesAWSAzureGCPContainerizationKubernetes

Required

B.S., M.S., or Ph.D. in Computer Science and experience in distributed systems and machine learning

Passion for building scalable and extensible solutions for machine learning development and productionisation towards short term and long term business and user impact

Proficiency in Python, Golang, or other programming language

Excellent communication skills

Strong understanding of Machine Learning fundamentals, including supervised learning, large language models, forecasting, recommendation systems and reinforcement learning

Preferred

Solid software engineering skills and experience with popular ML software libraries (scikit-learn, pandas) and data munging tools (SQL, Spark). Experience with deep learning frameworks (e.g. PyTorch, Tensorflow) is a plus.

Familiarity working with cloud services (AWS, Azure, GCP, etc) and containerization with Kubernetes

Benefits

Great medical, dental, and vision insurance options

Mental health benefits

Family building benefits

In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off

401(k) plan to help save for your future

18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

Pre-tax commuter benefits

Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Company

Lyft

Glassdoor

3.6

Lyft designs, markets, and operates a mobile application that matches drivers with passengers who request rides.

Founded in 2012

San Francisco, California, USA

5,001-10,000 employees

http://lyft.com

H1B Sponsorship

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Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (69)

2022 (282)

2021 (268)

2020 (261)