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Home Based Python Machine Learning Jobs in Sunnyvale, CA

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... based ML (e.g., segmentation, classification, or anomaly detection). * Strong Python skills and ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... based ML (e.g., segmentation, classification, or anomaly detection). * Strong Python skills and ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... based ML (e.g., segmentation, classification, or anomaly detection). * Strong Python skills and ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... based ML (e.g., segmentation, classification, or anomaly detection). * Strong Python skills and ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

... in Python. Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.Experience with Pytorch. MS/PhD in computer ...

Apple

Machine Learning Engineer, Proactive

Cupertino, CA

$212K - $318K/yr

We also develop state-of-the-art generative AI technologies based on Large Language Models to power ... Python and at least one of the deep learning frameworks such as TensorFlow, PyTorch, or JAX Pay ...

LeanData

Machine Learning Engineer

Santa Clara, CA

Role This role is based at our Santa Clara, CA office. An ML Engineer is required to be in office ... Comfortable working with Python or similar programming languages for data analysis and model ...

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...

Skild AI

Machine Learning Engineer

San Mateo, CA

$100K - $300K/yr

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 ...

RIT Solutions

Machine Learning Engineer

Fremont, CA

Machine Learning Engineer Location: Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role Our ... Strong proficiency in Python, particularly for high-performance and data-intensive applications.

Hive

Machine Learning Engineer

San Francisco, CA

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

About Hive Hive is the leading provider of cloud-based AI solutions to understand, search, and ... You know the ins and outs of Python, especially as it applies to the above ML frameworks * You are ...

Apple

Machine Learning FEA Engineer

San Francisco, CA · On-site

... based on predictive finite element simulations and important design load cases. The machine ... in Python and relevant packages for MLOutstanding communication skillsPassion for creating ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

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.

Skild AI

Machine Learning Engineer

San Mateo, CA

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 ...

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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

$15

$68

$101

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

As of Jun 17, 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.

What are popular job titles related to Home Based Python Machine Learning jobs in Sunnyvale, CA? For Home Based Python Machine Learning jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Sunnyvale, CA look for? The top searched job categories for Home Based Python Machine Learning jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Home Based Python Machine Learning jobs? Cities near Sunnyvale, CA with the most Home Based Python Machine Learning job openings:
Home Based Python Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

Velo3D

Fremont, CA • On-site

$150K - $220K/yr

Full-time

Medical, Retirement

Posted 15 days ago

Job description

Position Overview: 

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process engineers, software engineers, and fellow ML engineers, you will develop and deploy models using image, time-series, and machine log data from advanced manufacturing systems.

Prior experience in additive manufacturing or 3D printing is not required. We are particularly interested in candidates with scientific, engineering, or technical backgrounds who have applied machine learning to complex real-world problems involving sensor data, physical systems, or experimental datasets, and who enjoy working closely with domain experts to deliver practical, high-impact solutions.

Responsibilities

  • Develop ML models using in-process sensor data to identify anomalies and quality issues during printing. 

  • Build and iterate on training and evaluation workflows; document experiments and results for reproducibility. 

  • Own ML experimentation end to end: Design datasets, preprocessing pipelines, and training workflows; iterate on model architectures and metrics; document experiments and results for reproducibility. 

  • Help define data collection and management: Partner with process and software teams to improve how build data is ingested, cataloged, versioned, and made available for training and evaluation. 

  • Deploy models into production: Work with print software and embedded teams to integrate validated models into production code running on printer hardware, including performance and reliability considerations. 

  • Collaborate with supporting software engineers: Hand off validated Python prototypes for production hardening, provide clear specifications and acceptance criteria, and support integration and regression testing. 

Requirements

  • Bachelor's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field; advanced degree preferred. 

  • 3+ years of experience building and evaluating machine learning models in a professional setting. 

  •  Hands-on experience with computer vision or image-based ML (e.g., segmentation, classification, or anomaly detection). 

  • Strong Python skills and experience with modern ML frameworks (e.g., PyTorch). 

  • Experience designing ML pipelines: data loading, preprocessing, training, evaluation, and experiment tracking. 

  • Comfort working in a production software environment: version control, code review, testing, and cross-functional collaboration. 

  • Ability to communicate technical tradeoffs clearly to engineers and non-engineers. 

  • Strong programming skills in Python or C++. 

  • Experience organizing and working with structured and unstructured datasets. 

  • Background in a STEM or scientific discipline, with demonstrated use of ML to address substantive technical or engineering problems. 

Bonus  

  • Experience with powder bed fusion or other additive manufacturing processes. 

  • Knowledge of manufacturing data workflows, IoT sensor data, or industrial automation systems. 

  • Experience with image-based or time-series machine learning. 

  • Familiarity with model deployment in production or embedded environments. 

  • Familiarity with cloud storage and data pipelines (e.g., AWS S3, batch retrieval workflows). 

  • Experience in domains such as robotics, aerospace, materials, instrumentation, scientific computing, or other fields where ML is applied to physical or experimental data. 

About the Company:
 
Velo, Velo3D, Sapphire and Intelligent Fusion are registered trademarks of Velo3D, Inc. Without Compromise, Flow, Flow Developer, and Assure are trademarks of Velo3D, Inc.
 
With the only SupportFree laser powder bed fusion capability, we enable on-demand manufacturing of production quality Titanium, Inconel, and Aluminum parts with an unprecedented degree of design freedom and quality control. The VELO3D award-winning solution includes an integrated offering of hardware and software: Sapphire metal AM production printer, Flow print preparation software, Assure quality assurance and control system, and an integrated manufacturing process that runs throughout the printing operation.
 
Our team enjoys excellent benefits including healthcare coverage and 401(K) employer contributions. We believe in transparency and recognizing exceptional efforts through our monthly all-hands meetings and team member appreciation awards.
 
Our job titles may span more than one career level. The starting base salary for this full-time position is between $150,000 and $220,000. This salary range reflects the minimum and maximum target for this position in the U.S. The actual base pay is dependent upon many factors, such as work experience, job-related skills, related education, work location, and market demands. The base pay range is subject to change and may be modified in the future. In addition to a competitive base salary and a comprehensive benefits package, this position may be eligible for other forms of compensation such as participation in a bonus and equity program, as applicable.
 
Velo3D provides equal employment opportunities to all employees and applicants for employment without regard to, and prohibits discrimination and harassment based on, race, color, religion, age, sex, national origin, disability, medical condition, genetic information, military or veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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