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Home Based Python Machine Learning Jobs in San Francisco, CA

MM International

Machine Learning Engineer

Fremont, CA · On-site

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 ...

Apple

Machine Learning FEA Engineer

San Francisco, CA · On-site

... 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 ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

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 ...

Unitytech

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

Experience with Python and working with data-intensive workloads * Familiarity with ML frameworks ... We determine the base salary range for this role based on your primary work location: Mountain View ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

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 ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

Strong Python and SQL skills, with experience working with large-scale datasets * Experience developing, evaluating and deploying machine learning models in production environments * Success building ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... Python, PyTorch or Jax, and distributed systems. • Experience deploying and maintaining ML ...

Alljoined

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

You will design and implement advanced machine learning models for EEG-based neural decoding ... Strong proficiency in Python and PyTorch, along with familiarity with modern machine learning ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

They are seeking Machine Learning Engineers to build their platform for training, evaluating, and ... Python, PyTorch or Jax, and distributed systems. • Experience deploying and maintaining ML ...

Goodfire

Machine Learning Engineer

San Francisco, CA · On-site

The Machine Learning Engineer will play a central role in building the core technology for training ... Python, PyTorch or Jax, and distributed systems. • Experience deploying and maintaining ML ...

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All JobsHome Based Python Machine Learning JobsHome Based Python Machine Learning Jobs in San Francisco, CA

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 Aug 15, 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 job categories do people searching Home Based Python Machine Learning jobs in San Francisco, CA look for?

The top searched job categories for Home Based Python Machine Learning jobs in San Francisco, CA are:

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

Home Based Python Machine Learning jobs near you

Machine Learning Engineer

MM International

Fremont, CA • On-site

Contractor

Re-posted 13 days ago

Job description

Role: Machine Learning Engineer

Location: Fremont, CA 

 

once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a general video screening with PV. Then we send the submission to the client

About the Role:

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting factory and warehouse operations. You will transform ambiguous problem statements into robust end-to-end solutions using a variety of machine learning techniques and tools, including supervised learning, convolutional neural networks, and modern frameworks such as PyTorch and Pandas.

You will collaborate closely with partners in production, process, controls, and quality to deliver solutions for the most challenging problems in our operations. Your work will involve evaluating and deploying models in production environments, ensuring rapid and reliable alerting systems, and addressing operational issues as they arise. You must be adept at handling diverse, heterogeneous datasets that span multiple modalities, including images, multi-spectral sensor outputs, voice, text, and tabular data.

Responsibilities

  • Design, develop, and deploy machine learning models for factory and warehouse environments.
  • Collaborate with cross-functional teams to identify, define, and solve high-impact operational challenges.
  • Build and maintain end-to-end machine learning pipelines, from data collection and preprocessing to model deployment and monitoring.
  • Evaluate and compare models using statistical methods to ensure optimal performance and feasibility.
  • Ensure robust alerting and monitoring systems are in place for deployed models to address issues rapidly.
  • Work with diverse datasets, integrating multiple data types such as images, sensor data, voice, text, and tabular information.
  • Write clean, modular, and sustainable code to translate research ideas into production-ready solutions.

Minimum Requirements

  • 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 more of the following areas: computer vision, large language models, recommender systems, or operations research.
  • Foundational knowledge of statistics for model comparison and performance assessment.
  • Real-world experience deploying and maintaining machine learning solutions in production environments.
  • Passion for clean, sustainable, and modular code to bring research concepts to practical implementation.

Preferred Qualifications

  • CI/CD, Kubernetes, MLflow, TensorFlow, PyTorch, AWS.
  • Experience working in manufacturing, industrial automation, or warehouse environments.
  • Familiarity with multi-modal data integration and analysis.
  • Strong problem-solving skills and the ability to thrive in ambiguous, fast-paced settings.
  • Excellent communication skills for cross-functional teamwork.