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Home Based Python Machine Learning Jobs in Milpitas, CA

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno ... Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. * Solid ...

Symhas

Machine Learning Lead

Pleasanton, CA · On-site

Machine Learning Lead We are looking for a senior Machine Learning Lead to drive ML strategy and ... Proficiency in Python and SQL; experience with large-scale data platforms * US Green Card or ...

Apply Early

Apple

Machine Learning (MLOps) Engineer

Cupertino, CA · On-site

This hire will build, deploy, and optimize AI/ML based applications with a strong emphasis on ... Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Proficient in Python with a strong track record of building substantial projects. * Solid ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$184K - $324K/yr

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... Minimum Qualifications Software engineering skills and proficiency in Python Experience with ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$150K - $277K/yr

Software engineering skills and proficiency in Python. Experience with PyTorch. BA/BS degree in computer vision, computer graphics, machine learning or related field. Pay & Benefits At Apple, base ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

... work from home one or more days per week. This position will be filled at eitherlevel based on ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

Diversity Nexus

Python developer with LLM

San Jose, CA · On-site

$59 - $81.25/hr

Embedded systems with Machine learning - people with embedded systems will also have experience with Python, C/C++, Machine learning models and mobile development. If we can find someone with ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

... from home one or more days per week. This position will be filled at either level based on ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

... from home one or more days per week. This position will be filled at either level based on ... Master's degree in Machine Learning, Computational Biology, Statistics, Computer Science ...

Workday

Machine Learning Engineer III

Santa Clara, CA · On-site

... production-based evaluation * 3+ years of professional experience with Python and supporting ... Those in our remote "home office" roles also have the opportunity to come together in our offices ...

Workday

Machine Learning Engineer III

Pleasanton, CA · On-site

... production-based evaluation * 3+ years of professional experience with Python and supporting ... Those in our remote "home office" roles also have the opportunity to come together in our offices ...

Apple

Machine Learning Engineer (Search)

Cupertino, CA

$147K - $220K/yr

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution ... Java, C++, Python Knowledge and experience with one of Tensorflow/Pytorch/Jax frameworks. Excellent ...

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All JobsHome Based Python Machine Learning JobsHome Based Python Machine Learning Jobs in Milpitas, CA

Home Based Python Machine Learning information

See Milpitas, CA salary details

$15

$68

$100

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

As of Jul 3, 2026, the average hourly pay for home based python machine learning in Milpitas, CA is $68.32, according to ZipRecruiter salary data. Most workers in this role earn between $56.30 and $77.60 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 Milpitas, CA? For Home Based Python Machine Learning jobs in Milpitas, CA, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Milpitas, CA look for? The top searched job categories for Home Based Python Machine Learning jobs in Milpitas, CA are:
What cities near Milpitas, CA are hiring for Home Based Python Machine Learning jobs? Cities near Milpitas, CA with the most Home Based Python Machine Learning job openings:
Home Based Python Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

UnifyID (acquired by Prove)

Redwood City, CA

Full-time

Posted yesterday

Job description

About Prove (acquired UnifyID)
Prove is the modern platform for continuous identity authentication and is used by over 1,000 enterprises and 500 financial institutions, including 9 of the top 10 U.S. banks. Prove's cloud solutions, and mobile intelligence-driven APIs can be easily orchestrated to increase Approve Rates to over 90%, enabling companies to authenticate customer identities accurately, effortlessly, and privately while mitigating fraud. Prove's solutions are available in 195 countries.

For the latest updates from Prove, follow us on LinkedIn.

About the role
We are looking for a seasoned software engineer to join our A+ technical team in designing, building and deploying machine learning solutions into production.

UnifyID is building a platform to solve one the world's biggest unsolved security problems in a completely novel way, requiring us to push the boundaries of what's possible in production machine learning and on mobile devices.  Our data analytics platform can translate mobile sensor data from real-world human activity into a "digital fingerprint" with no conscious action from the user, all in real-time, and in a way that respects user privacy.  This is an opportunity to be a part of something truly unique and game-changing.

We are looking for natural-born builders who are comfortable in multiple technical areas, have creative problem-solving skills, a love for coding and technology and a "get stuff done" attitude.
Your day-to-day
  • Be an early member of a high-performing team of software engineers and machine learning researchers building a new human identity platform
  • Take ownership, be creative, and think outside the box to invent and build solutions to real-world customer problems
  • Interface with our world-class machine learning research team to help turn core research into reality
  • Wrangle and perform experiments on petabyte-scale data sets
  • Wear many hats to make things happen in a dynamic startup environment
  • Bring your own unique expertise to the team and learn from others
  • Enjoy tight collaboration with your teammates
Ideal candidates will have...
  • Spent at least 5 years in the trenches of the software industry, delivering quality software that matters to people that care
  • Many "been there, done that" stories related to shipping and maintaining major software products for customers
  • Excellent coding skills in an object-oriented language (Go, Python, Rust, Java, C++, Ruby, etc...)
  • Experience working with high volumes of data, ideally with machine learning playing a critical role
  • Strong foundational knowledge of mathematics, bonus if related to machine learning or signals processing
  • A breadth of technical skills and know how to use the right tool for the job
  • High motivation and ability to learn new technologies and domains 
  • A positive can-do attitude and bring a passion for excellence to the workplace
  • Excellent collaboration and communication skills
  • Professional experience with AWS, Kubernetes a bonus
  • Knowledge of cybersecurity, signals processing, or experience working with time-series data a bonus
Join us!
As we continue to scale our company, we are looking for people who know how to make an impact. We're talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smarts but natural curiosity and tenacity. Teamwork is also important to us - we work together and play together.

Prove has big plans; we're excited and optimistic about the future. If this sounds like a career for you - come check us out.

This team is located in the heart of Silicon Valley in downtown Redwood City and has unparalleled access to deep entrepreneurial expertise, high-caliber academic research institutions, and top-tier VC resources.

Finally, it is important that you be authentic and be yourself.

Prove is an equal opportunity employer committed to providing equal employment opportunity for all people regardless of race, color, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status, or other personal characteristics.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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