1

Home Based Python Machine Learning Jobs in Sunnyvale, CA

Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow ... PhD in Machine Learning, Computer Science, Statistics, or a related field * Experience with cloud ...

Strong programming skills in Python and experience with ML frameworks like PyTorch or TensorFlow ... PhD in Machine Learning, Computer Science, Statistics, or a related field * Experience with cloud ...

... Machine Learning, Data Science, or a related field Expert in SQL and Python or R 3+ years of industry experience Robust understanding of statistical and machine learning methods Preferred Background ...

... Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ... with cloud-based training environments (AWS, GCP, Azure). • Excellent communication and ...

... Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on ... with cloud-based training environments (AWS, GCP, Azure). • Excellent communication and ...

D. in Computer Science, Data Science, or a related field • Strong programming skills in Python or R • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) • Knowledge of ...

Lead the ML organization, consisting of multiple teams, to design, develop, and optimize ML-based ... Advanced knowledge of Python, SQL * Strong oral and written communication skills #LI-Hybrid

Responsibilities : • Develop, optimize, and deploy lightweight machine learning models for edge ... Python, and experience with ML model optimization. • Ability to work independently and ...

We have hybrid offices in London, New York, and Singapore; this role is hybrid based in the San ... Building machine learning models and pipelines in Python, using common libraries and frameworks (e ...

Strong software engineering skills with proficiency in Python and experience with ML services and ... Proficiency with vector search, embedding-based retrieval, approximate nearest neighbor systems ...

Strong software engineering skills with proficiency in Python and experience with ML services and ... Proficiency with vector search, embedding-based retrieval, approximate nearest neighbor systems ...

Required : • Strong programming expertise in Python, C, or Rust, with a focus on writing ... Expertise in fine-tuning and quantizing transformer-based models • Research to Production: Proven ...

Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning ... Python with a strong track record of building substantial projects. • Solid foundation in ...

Showing results 41-60

Home Based Python Machine Learning information

See Sunnyvale, CA salary details

$15

$68

$101

How much do home based python machine learning jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for home based python machine learning in Sunnyvale, CA is $68.80, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.17 per hour, depending on experience, location, and employer.

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are popular job titles related to Home Based Python Machine Learning jobs in Sunnyvale, CA?

For Home Based Python Machine Learning jobs in Sunnyvale, CA, the most frequently searched job titles are:

What cities near Sunnyvale, CA are hiring for Home Based Python Machine Learning jobs?

Cities near Sunnyvale, CA with the most Home Based Python Machine Learning job openings:

Machine Learning Engineer, Fulfillment

San Francisco, CA • On-site

Lyft
Ground Public Transportation • 5 - 10K employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Lyft rating

7.3

Company rating: 7.3 out of 10

Based on 34 frontline employees who took The Breakroom Quiz


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. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing petabyte-scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business.
The Fulfillment group, within the Marketplace at Lyft, is responsible for determining what inventory can be reliably offered for a given rider session and fulfilling rider requests. The group comprises several sub-teams that generate feasible offers for riders, match rider requests with drivers, and maintain a distributed state machine to track rides and drivers from request through completion.
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 regards 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. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. 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. #Hybrid
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.

What Lyft employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Lyft logo

About Lyft

Sourced by ZipRecruiter

At Lyft, our mission is to improve people's lives with the world's best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Industry

Ground public transportation

Company size

5,001 - 10,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

Social media