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

We are looking for Machine Learning Engineers who have built product models from idea to delivery ... Tech Stack: * AWS * PostgreSQL * Typescript * Python * VueJS (web) * Swift (iOS) * Kotlin/Java ...

Machine Learning Engineer

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

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 ...

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...

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 ...

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 ...

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 ...

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 for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Machine Learning Engineer

Dublin, CA · On-site

$90 - $130/hr

We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...

Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to ...

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 for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

Showing results 41-60

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 22, 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:

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.

Full-time

Re-posted 28 days ago


Job description

Job Summary:
MBZUAI is a dedicated research lab for building, understanding, using, and risk-managing foundation models. As a Machine Learning Engineer, you will develop and implement innovative machine learning models, collaborate with cross-functional teams, and contribute to MBZUAI's mission of driving impactful AI discoveries.
Responsibilities:
• Collaborate with Research teams to understand technologies, adapting and integrating them into codebase.
• Develop and implement systems to support the lifecycle of machine learning models, such as data preprocessing, pre-training, post-training, evaluation and so on, especially foundation models.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation.
• Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.
Qualifications:
Required:
• Bachelor’s degree or equivalent practical experience.
• 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer Vision.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with data structures or algorithms in either an academic or industry setting.
• 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.
• Excellent problem-solving and troubleshooting skills to address complex technical challenges.
• Effective communication and collaboration skills to work with cross functional teams.
Preferred:
• Master's degree or PhD in Computer Science or related technical field.
• 2 years of experience with improving performance during large scale data processing.
• Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF).
• Excellent data analysis skills.
Company:
Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research, innovation, and empowering brilliant minds in AI. Founded in 2019, the company is headquartered in Abu Dhabi, ARE, with a team of 51-200 employees. The company is currently Growth Stage.