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Home Based Python Machine Learning Jobs in Santa Clara, CA

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

$175K - $275K/yr

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

$175K - $275K/yr

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 ...

Apple Inc.

Machine Learning Engineer

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

Software engineering skills and proficiency in Python. * Experience with PyTorch. * BA/BS degree in computer vision, computer graphics, machine learning or related field. Preferred Qualifications

Jobzhr

Machine Learning Engineer, Drive

Sunnyvale, CA · On-site

$168 - $247/hr

Strong software engineering skills in Python and experience with modern ML infrastructure and ... Above and beyond discrimination and harassment based on "protected categories," we also strive to ...

Apple

Machine Learning Engineer

Santa Clara, CA

$150K - $277K/yr

As such, we are seeking candidates with applied machine learning experience and strong software ... C/C++, Go, Python, Java Pay & Benefits At Apple, base pay is one part of our total compensation ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ... Use programming languages like Python, Go, Scala, or Java Basic Qualifications: * Bachelor's Degree

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML ... Use programming languages like Python, Go, Scala, or Java Basic Qualifications: * Bachelor's Degree

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 ...

Diversity Nexus

Python developer with LLM

San Jose, CA · On-site

$59 - $81.25/hr

The role requires strong Python development and debugging skills, with an emphasis on machine learning tools and possibly embedded systems experience. Responsibilities : • Need strong Python ...

Articul8

Machine Learning Engineer

Dublin, CA · On-site

$90 - $130/hr

Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code. * Excellent problem-solving skills and attention to ...

Articul8

Machine Learning Engineer

Dublin, CA · On-site

Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code. * Excellent problem-solving skills and attention to ...

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 ...

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 ...

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 ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

They are seeking a Machine Learning Engineer to translate research into scalable solutions ... Python with a strong track record of building substantial projects. • Solid foundation in ...

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 ...

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All JobsHome Based Python Machine Learning JobsHome Based Python Machine Learning Jobs in Santa Clara, CA

Home Based Python Machine Learning information

See Santa Clara, CA salary details

$15

$68

$101

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

As of Sep 2, 2026, the average hourly pay for home based python machine learning in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 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 Santa Clara, CA?

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

What job categories do people searching Home Based Python Machine Learning jobs in Santa Clara, CA look for?

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

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

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

Home Based Python Machine Learning jobs near you
Infographic showing various Home Based Python Machine Learning job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $143,202 per year, or $68.8 per hour.

Machine Learning Engineer

Abaka AI

Mountain View, CA • On-site

$175K - $275K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 29 days ago

Job description

About Abaka AI
Abaka AI is built on one mission: to be the world's most trusted data partner for AI companies. More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley-and teams in Paris, Singapore, and Tokyo-we support global partners with fast, reliable, and scalable data solutions.
Our offerings include a diverse catalog of off-the-shelf datasets (image, video, multimodal, reasoning, 3D, and beyond) as well as comprehensive data collection and annotation services. Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides the foundation for building high-performance AI systems.
About the Role
We're hiring our first Machine Learning Engineer in the United States, a foundational role that will shape how Abaka builds, trains, and optimizes multimodal AI systems. You will own the design and development of scalable training pipelines, work directly with our data engineering and research teams, and help drive the technical roadmap for model development across multiple modalities.
As an early member of the engineering team, you will influence core decisions around model training strategy, experimentation frameworks, distributed infrastructure, and internal best practices. Your work will directly impact the performance of frontier models trained on Abaka datasets and will help elevate the technical bar for our clients and partners.
If you thrive in high-ownership environments and want to shape the machine learning foundation of a fast-moving AI company, this role offers an opportunity to make an immediate and lasting impact.
Responsibilities
  • Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data.
  • Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.
  • Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.
  • Develop tools and automation frameworks that accelerate model experimentation, hyperparameter tuning, and deployment.
  • Identify and address performance bottlenecks in data or training pipelines to improve throughput, stability, and resource utilization.
  • Collaborate with product and infrastructure teams to ensure smooth integration of model outputs into both internal and client-facing applications.
  • Support internal best practices for model governance, experiment tracking, and documentation to maintain high engineering standards and reproducibility.

Qualifications
  • Strong academic background in computer science, artificial intelligence, machine learning, or related fields. Master's degree or Ph.D. is preferred.
  • 3+ years of experience in applied machine learning or ML engineering, with a demonstrated ability to deliver production-ready models or pipelines.
  • Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on experience in large-scale distributed training and inference systems.
  • Familiarity with multimodal data processing (e.g., text-image pairing, video understanding, speech-audio modeling) and dataset optimization for model training.
  • Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks.
  • Experience with modern infrastructure tools such as Kubernetes, Ray, Airflow, or MLflow, along with cloud-based training environments (AWS, GCP, Azure).
  • Excellent communication and collaboration skills, capable of working effectively across engineering, research, and product teams to accomplish shared goals.
  • Self-driven and adaptable, comfortable operating in a fast-paced startup environment, and able to demonstrate strong ownership and urgency in execution.

Compensation & Benefits
The base salary range for this position is $175,000 - $275,000 USD annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Abaka AI. This role is eligible for equity, as well as a comprehensive benefits package (health, dental, vision, PTO, flexible work schedule).

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