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Freelance Full Stack Machine Learning Engineer Jobs in Hayward, CA

Nvidia

Senior Machine Learning Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that ... DGX Cloud fuses NVIDIA GPUs, NVLink networking and the full AI software stack into elastic ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

AllSTEM Connections

Machine Learning Engineer

San Francisco, CA · On-site

$118K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Machine Learning Engineer Role Overview We are seeking an experienced and driven Machine Learning Engineer to design, build, and optimize scalable machine learning models that drive intelligent ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA

We lead the full product development cycle, integrating mechanical, electrical, thermal, and ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...

Saige Partners

Full Stack Developer

San Jose, CA

$80 - $90/hr

Full Stack Developer (San Jose, CA) Job Overview: We are seeking a Full Stack Software Developer ... Solid knowledge of PostgreSQL and NoSQL databases Familiarity with machine learning algorithms ...

Protingent

Full Stack Software Developer

San Jose, CA · On-site

$80 - $90/hr

  • Medical

  • Retirement

  • PTO

Job Title : Full Stack Software Developer Position Description : Protingent Staffing has an ... machine learning algorithms (supervised/unsupervised). • Experience with AI/ML frameworks ...

Prodapt

Full stack Developer

San Jose, CA · On-site

We are seeking a talented Full Stack Software Developer with 5+ years of experience, in developing ... machine learning algorithms (supervised/unsupervised). 5. Experience with AI/ML frameworks ...

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All JobsFull Stack Machine Learning Engineer JobsFreelance Full Stack Machine Learning Engineer JobsFreelance Full Stack Machine Learning Engineer Jobs in Hayward, CA

Freelance Full Stack Machine Learning Engineer information

See Hayward, CA salary details

$51K

$154.5K

$218.4K

How much do freelance full stack machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for freelance full stack machine learning engineer in Hayward, CA is $154,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,300.00 and $181,100.00 per year, depending on experience, location, and employer.

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in Hayward, CA?

For Freelance Full Stack Machine Learning Engineer jobs in Hayward, CA, the most frequently searched job titles are:

What cities near Hayward, CA are hiring for Freelance Full Stack Machine Learning Engineer jobs?

Cities near Hayward, CA with the most Freelance Full Stack Machine Learning Engineer job openings:

Freelance Full Stack Machine Learning Engineer jobs near you

Senior Machine Learning Engineer

Nvidia

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Re-posted 11 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that keeps NVIDIA's global DGX Cloud healthy, efficient and ready for the next waves of AI breakthroughs. DGX Cloud fuses NVIDIA GPUs, NVLink networking and the full AI software stack into elastic infrastructure powering large language models, drug discovery, autonomous driving and climate science. Your models will turn billions of telemetry signals into predictive insight. This frees customers to innovate while our platform runs smarter.

What you'll be doing:

  • Ground breaking and developing innovative machine learning algorithms and models that propel our AI products.

  • Build production models for anomaly detection, predictive maintenance and usage optimization.

  • Develop tools surfacing real time telemetry, efficiency metrics and long term trends.

  • Develop forecasting and simulation models for global scale planning.

  • Analyzing complex datasets to determine the best approach for model training and optimization.

  • Translate findings into clear engineering actions with infrastructure, operations and product teams.

  • Participating in cross-functional projects to integrate machine learning capabilities into various NVIDIA products.

What we need to see:

  • Master's degree or PhD in Mathematics, Statistics, Machine Learning or related quantitative field (or equivalent experience).

  • 8+ years experience applying Machine Learning to operational systems.

  • Proven track record of building and deploying Machine Learning models in production environments.

  • Experience with time series analysis and optimization algorithms.

  • Familiarity with distributed systems and cloud platforms such as AWS and Kubernetes.

  • Strong software engineering skills and proficiency in Python.

  • Effective verbal/written communication, and technical presentation skills.

  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.

  • A track record of delivering high-impact projects to compete in a fast-paced environment.

Ways to stand out from the crowd:

  • Experience solving capacity planning problems.

  • Deep understanding of GPU performance metrics.

  • Familiarity with prometheus and PromQL.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 7, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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