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Home Based Python Machine Learning Jobs in Santa Clara, CA

Apple

Machine Learning Engineer

Cupertino, CA · On-site

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, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Proficient in programming languages such as Python, R, or similar * Strong foundation in ... We do not discriminate based on gender, race or color, ethnicity or national origin, age ...

Adobe

Machine Learning Engineer

San Jose, CA · On-site

Proficient in programming languages such as Python, R, or similar * Strong foundation in ... We do not discriminate based on gender, race or color, ethnicity or national origin, age ...

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 ...

Geico

Machine Learning Engineer II

Palo Alto, CA · On-site

Deepproficiencyin programming languages such as Python, Java, or similar, with a strong emphasis on ... Experiencebuilding LLM-based AI agent workflows via both no code/low code and traditional high-code ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

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. MS or PhD in computer vision ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

... and performance evaluationProficiency in Python for algorithm development and ... and iterate based on experimental resultsExperience owning algorithm development from early ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$147.40K - $272.10K/yr

... Python. Experience with one of the following: machine learning/deep learning systems, computer ... vision, graphics, computational imaging applications. Experience with Pytorch. Pay & Benefits At ...

EarnIn

Head of Machine Learning

Mountain View, CA · Hybrid

$477K - $583K/yr

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

UnifyID

Machine Learning Engineer

Redwood City, CA · On-site

... 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 ...

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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 Jun 4, 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 May 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $143,202 per year, or $68.8 per hour.
Machine Learning Engineer

Machine Learning Engineer

Apple

Cupertino, CA • On-site

Full-time

Posted yesterday

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine learning solutions from research and experimentation through to robust, production-grade deployment.
The MLE will collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment. This hire will design end-to-end AI/ML solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. You will benchmark, adapt, and integrate AI/ML models into existing systems.
8 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.Bachelor's Degree in Computer Science, Statistics, Data Mining, Machine Learning, Operations Research, or related field.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 systems using big data technologies such as Spark, SQL, Snowflake, or similar platforms.Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.Familiarity with MLOps practices including model versioning, CI/CD pipelines, and experiment tracking tools such as MLflow or similar.Experience building and deploying applications using large language models (e.g., GPT-4, Claude, Gemini, or open-source alternatives) via APIs or self-hosted inference.Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, or AutoGen to build multi-step, tool-augmented AI workflows.
10 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.Solid understanding of ML fundamentals including supervised/unsupervised learning, model evaluation, and feature engineering.Strong problem-solving skills with the ability to translate ambiguous business problems into well-defined ML solutions.Excellent cross-functional communication skills with the ability to collaborate effectively across engineering and data science teams.Familiarity with LLM evaluation practices including output quality assessment, hallucination detection, and latency benchmarking in production environments.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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