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Home Based Python Machine Learning Jobs in San Francisco, CA

Company Description PatternAI is an automated machine learning platform that reveals critical ... Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas) * Broad familiarity with ...

Company Description PatternAI is an automated machine learning platform that reveals critical ... Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas) * Broad familiarity with ...

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... based ML (e.g., segmentation, classification, or anomaly detection). * Strong Python skills and ...

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... based ML (e.g., segmentation, classification, or anomaly detection). * Strong Python skills and ...

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... based ML (e.g., segmentation, classification, or anomaly detection). * Strong Python skills and ...

Professional experiences must include: * 1 year of experience designing, training, and evaluating machine learning models using Python-based data science libraries, including experience performing ...

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only ... Minimum Requirements In-depth knowledge of Python for high-performance, data-intensive applications.

Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch ... based, multi-task, hierarchical, multi-agent, etc.). * Strong background in algorithms, data ...

... based on predictive finite element simulations and important design load cases. The machine ... Python and relevant packages for ML Outstanding communication skills Passion for creating ...

In-depth knowledge of Python for high-performance, data-intensive applications. * Proficiency with at least one modern deep learning framework (e.g., PyTorch, Jax, TensorFlow). * Expertise in one or ...

This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ... Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc. * Solid ...

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Home Based Python Machine Learning information

See San Francisco, CA salary details

$15

$69

$101

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 San Francisco, CA is $69.07, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $78.46 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 San Francisco, CA? For Home Based Python Machine Learning jobs in San Francisco, CA, the most frequently searched job titles are:
What cities near San Francisco, CA are hiring for Home Based Python Machine Learning jobs? Cities near San Francisco, CA with the most Home Based Python Machine Learning job openings:

Machine Learning Engineer

Happy Elements

San Francisco, CA

Full-time

Posted 24 days ago


Job description

Machine Learning Engineer
Full-time
Responsibilities
  • Build, maintain, and improve efficient and reliable data mining and machine learning models.
  • Design, implement and tune machine learning models, and provide performance feedback.
  • Work closely with data engineers to adapt and improve data pipelines for production models.
  • Work closely with software engineers in putting models into production (interface, SLA, scalability).Qualifications
  • Strong academic background required. MS in Computer Science or Machine Learning with 2+ years of industry experience or PhD in related field with 1+ years of industry experience required.
  • Expert in Python, and computation graph toolkits (e.g., Scikit-learn, Tensorflow). Solid experience with Python packages such as Numpy, Panda, and Scikit-learn.
  • Expert/Master in common families of machine learning models, feature engineering, feature selection techniques, and tuning of machine learning models.
  • Master with SQL or other relational database.
  • Master in building and productionizing end-to-end machine learning systems.
  • Knowledge and experience in cloud computing is a plus.
  • Extensive data modeling and data architecture skills.
  • Advanced math skills (linear algebra, Bayesian statistics, group theory).
  • Ability to consistently exercise independent discretion and judgment on significant matters.
  • Strong analytical, problem-solving and communication skills.
  • Ability to work in a team environment