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Home Based Python Machine Learning Jobs in Sunnyvale, CA

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

... 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 ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

... 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 ...

Unitytech

Machine Learning Engineer

Mountain View, 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 ...

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 ...

shefsolutionsllc

Machine Learning Engineer

Cupertino, CA · On-site

$143 - $264/hr

Python, PyTorch, or Jax. Preferred Qualifications * Familiarity with end-to-end Machine Learning Lifecycle * Demonstrated evidence of prior experience and expertise in data-centric machine learning ...

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 ...

Apple

Machine Learning Engineer (Search)

Cupertino, CA · On-site

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 ...

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 ...

Voltai

Machine Learning Engineer

Menlo Park, CA · On-site

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 ...

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

Home Based Python Machine Learning information

See Sunnyvale, CA salary details

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

As of Aug 20, 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.

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

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Home Based Python Machine Learning jobs near you

Machine Learning Engineer, Reinforcement Learning

Skild AI

San Mateo, CA

Full-time

Re-posted 12 days ago

Job description

Position Overview

We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.

Responsibilities
  • Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
  • Design and conduct experiments to train RL models and conduct real-world tests.
  • Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
  • Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
  • Analyze and interpret experimental results, iterating on model design to achieve desired performance.
  • Stay up-to-date with the latest research and advancements in reinforcement learning.
Preferred Qualifications
  • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
  • Strong background in algorithms, data structures, and software engineering principles.
  • Experience with physics simulation engines and tools for training RL.
  • Deep understanding of state-of-the-art machine learning techniques and models.
  • Extensive industry experience with reinforcement learning and robotic systems.

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