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Freelance Full Stack Machine Learning Engineer Jobs in Santa Clara, CA

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

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 ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

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 ...

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 · On-site

$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 ...

Skild AI

Machine Learning Engineer

San Mateo, CA · On-site

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

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 ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

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Showing results 21-40

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

Freelance Full Stack Machine Learning Engineer information

See Santa Clara, CA salary details

$52.3K

$158.3K

$223.7K

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 Santa Clara, CA is $158,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,400.00 and $185,600.00 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 the most commonly searched types of Full Stack Machine Learning Engineer jobs in Santa Clara, CA?

The most popular types of Full Stack Machine Learning Engineer jobs in Santa Clara, CA are:

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

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

What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in Santa Clara, CA look for?

The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Santa Clara, CA are:

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

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

Freelance Full Stack Machine Learning Engineer jobs near you
Infographic showing various Freelance Full Stack Machine Learning Engineer job openings in Santa Clara, CA as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, 1% Contract, and 1% Nights. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $158,280 per year, or $76.1 per hour.

Machine Learning Engineer

Winaxis

Fremont, CA • On-site

Contractor

Re-posted 29 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.