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Home Based Python Machine Learning Jobs in Mountain View, CA

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 ...

Quantcast

Machine Learning Engineer

San Francisco, CA · On-site

$151K - $178K/yr

This is a hybrid role based in our San Francisco office. To ensure a manageable commute for in ... Fluency in Python, Java or similar programming languages. * Strong skills in mathematics and ...

Apple

Machine Learning Engineer

Cupertino, CA

$212K - $318K/yr

Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with hands-on experience building distributed systems. Experience building large-scale machine learning ...

Adobe

Machine Learning Engineer

San Jose, CA

Proficiency in Python , experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn ... We do not discriminate based on gender, race or color, ethnicity or national origin, age ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Proficiency in Python , experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn ... We do not discriminate based on gender, race or color, ethnicity or national origin, age ...

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All JobsHome Based Python Machine Learning JobsHome Based Python Machine Learning Jobs in Mountain View, CA

Home Based Python Machine Learning information

See Mountain View, 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 Mountain View, CA is $69.15, according to ZipRecruiter salary data. Most workers in this role earn between $57.02 and $78.56 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 Mountain View, CA? For Home Based Python Machine Learning jobs in Mountain View, CA, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Mountain View, CA look for? The top searched job categories for Home Based Python Machine Learning jobs in Mountain View, CA are:
What cities near Mountain View, CA are hiring for Home Based Python Machine Learning jobs? Cities near Mountain View, CA with the most Home Based Python Machine Learning job openings:
Home Based Python Machine Learning jobs near you
Machine Learning Engineer (Remote)

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$55 - $73/hr

Full-time

Posted 4 days ago

Job description

Our client is a leader in healthcare innovation, seamlessly integrating pharmaceutical development, diagnostic solutions, and advanced technology and data capabilities.
Title: Machine Learning Engineer (Contract)
Pay rate: $55-73/hr+ (Depends on experience)
Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours.
Duration: Through Dec. 2026 (Likely to get extended)
Overview:
Seeking a Machine Learning Bioinformatics Engineer to develop and deploy advanced ML solutions supporting pharmaceutical R&D. This role focuses on analyzing large-scale, multimodal clinicogenomic datasets (genomic, transcriptomic, clinical, and real-world data) to drive insights into disease biology, patient stratification, and treatment response. Ideal candidates are strong in both machine learning and bioinformatics, with a passion for translating complex data into impactful discoveries.
Key Responsibilities:
  • Build and deploy scalable, production-ready machine learning models
  • Process and analyze genomic and transcriptomic data using bioinformatics pipelines
  • Prepare high-quality, normalized biological datasets for downstream analysis
  • Train large-scale models using frameworks like PyTorch Lightning and Hugging Face
  • Develop cloud-based ML solutions (AWS/GCP) with a focus on scalability and reproducibility
  • Collaborate with cross-functional teams to uncover biomarkers and therapeutic targets
  • Provide technical input and guidance on ML system design and implementation

Qualifications:
  • PhD with 0-2 years of relevant work experience, or MS with 3-5 years of relevant work experience, or BS with 4-7 years of relevant work experience.
  • Proficient programming skills: Strong Python programming skills with extensive experience in ML and data libraries (e.g., NumPy, pandas, PyTorch).
  • Deep ML expertise: Excellent knowledge of modern machine learning methods and development best practices, including training strategies, model validation, performance visualization, and experimental design.
  • Deep bioinformatic expertise: Proficient knowledge of bioinformatic processing pipelines for genomic and transcriptomic variables.
  • Strong knowledge of computational oncology, cancer genomics and analysis of clinicogenomics datasets.
  • Must be authorized to work in the United States

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