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Home Based Python Machine Learning Jobs in Sunnyvale, CA

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 ...

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

Proficient in Python with a strong track record of building substantial projects. * Solid ... based systems at scale. * MS/PhD in CS or related technical field. * Familiarity with data ...

PROPRIUS

Machine Learning Engineer

San Francisco, CA · On-site

Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry ... Experience with Python * Computer Vision or NLP experience * Experience debugging complex systems ...

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 ...

Apex Systems

Machine Learning Engineer

Pleasanton, CA · On-site

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 ...

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.

MM International

Machine Learning Engineer

Fremont, CA · On-site

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 ...

Apple

Machine Learning Engineer

Santa Clara, CA · On-site

C/C++, Go, Python, Java Preferred Qualifications Masters or PhD in the area of Computer Science or ... deep learning and GenAI frameworks are desired. Building machine-learned models for search ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA

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 ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

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 ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

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

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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 Sep 13, 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:

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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

San Francisco, CA • On-site

Hive
See more jobs at Hiveexternal

$120K - $180K/yr

Full-time

Re-posted 12 days ago

Job description

About Hive
 
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
 
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
 
Machine Learning Role
 
In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
Responsibilities
  • Everything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed
  • Interface closely with the Backend and DevOps teams as well as with our internal data labeling services
  • Utilize OWASP top 10 techniques to secure code from vulnerabilities
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
  • You have an undergraduate or graduate degree in computer science or similar technical field, with significant coursework in mathematics or statistics
  • You have 1-2 years industry machine learning experience
  • You have successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
  • You have strong experience with a high-level machine learning frameworks such as Tensorflow, Caffe, or Torch, and familiarity with the others
  • You know the ins and outs of Python, especially as it applies to the above ML frameworks
  • You are capable of quickly coding and prototyping data pipelines involving any combination of Python, Node, bash, and linux command-line tools, especially when applied to large datasets consisting of millions of files
  • You have a working knowledge of the following technologies, or are not afraid of picking it up on the fly: C++, Scala/Spark, SQL, Cassandra, Docker
  • You are up-to-date on the latest deep neural net research and architectures, both in understanding the theory and motivations behind the techniques, as well as how to implement them in the ML framework of your choice
  • You have great communication skills and ability to work with others
  • You are a strong team player, with a do-whatever-it-takes attitude
Who We Are
 
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
 
Thank you for your interest in Hive and we hope to meet you soon!
 
The current expected base salary for this position ranges from $120,000 - $180,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
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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