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Home Based Python Machine Learning Jobs in Mountain View, CA

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 ...

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 ...

... 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 ...

Machine Learning Engineer

Pleasanton, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Python, R, and SQL * Machine learning frameworks such as TensorFlow, Keras, and/or PyTorch * Cloud platforms, specifically Microsoft Azure * DevOps and/or MLOps practices for model lifecycle ...

New

Minimum Qualifications Software engineering skills and proficiency in Python Experience with ... machine learning, computer science, computer engineering or related fields.

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 MS or ...

... Go, Python, Rust, Java, C++, Ruby, etc...) • Experience working with high volumes of data, ideally with machine learning playing a critical role • Strong foundational knowledge of mathematics ...

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 ...

... Go, Python, Rust, Java, C++, Ruby, etc...) • Experience working with high volumes of data, ideally with machine learning playing a critical role • Strong foundational knowledge of mathematics ...

Lead the ML organization, consisting of multiple teams, to design, develop, and optimize ML-based ... Advanced knowledge of Python, SQL * Strong oral and written communication skills #LI-Hybrid

D. in Computer Science, Data Science, or a related field • Strong programming skills in Python or R • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) • Knowledge of ...

... 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 ...

Showing results 21-40

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 Aug 12, 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:

Machine Learning Engineer

Winaxis

Fremont, CA • On-site

Contractor

Re-posted 26 days ago


Job description

Title: Machine Learning Engineer

Location: Fremont, CA (Local) Onsite interview

Duration: 12+ Mos  

H1B

Only h1 candidate

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

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.