1

Freelance Full Stack Machine Learning Engineer Jobs in California

Sr. Machine Learning Engineer, Siri Global

Cupertino, CA · On-site

$151K - $199K/yr

We are particularly interested in "full-stack" machine learning engineers with strong experience in research, software engineering, and have strong leadership potential.You should be passionate about ...

Machine Learning Engineer We are looking for a Machine Learning Engineer to join the growing AI and ... We value full stack ML engineers who are able to work on all parts of an ML pipeline from model ...

By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how ... As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ...

By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how ... As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ...

By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how ... As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

Machine Learning Engineer

CA · On-site

$75 - $89/hr

Machine Learning Engineer Pay Rate: $75-$89/hour Position Summary We are seeking a skilled Machine Learning Engineer (MLOps) to support the full lifecycle of machine learning models, including design ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

next page

Showing results 1-20

Freelance Full Stack Machine Learning Engineer information

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 California? The most popular types of Full Stack Machine Learning Engineer jobs in California are:
What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in California look for? The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in California are:
What cities in California are hiring for Freelance Full Stack Machine Learning Engineer jobs? Cities in California with the most Freelance Full Stack Machine Learning Engineer job openings:

Machine Learning Engineer

OpenReq (Acquired)

San Francisco, CA • On-site

Full-time

Posted 2 days ago


Job description

Job Summary:
Advex is a seed stage tech startup focused on solving challenges in computer vision through effective data collection. As a Machine Learning Engineer, you will shape the technical direction of the company by automating the ML life-cycle and engaging directly with customers while contributing to the architectural roadmap of the Advex platform.
Responsibilities:
• Play a pivotal role in shaping the company's technical direction.
• Collect data, label data, train model and iterate multiple times before achieving desired performance.
• Work with the CTO to automate the entire ML life-cycle by scaling the Advex pipeline.
• Identify gaps in data distributions, generate labeled synthetic samples, and train downstream models on enhanced synthetic datasets.
• Engage directly with customers.
• Contribute heavily to the architectural roadmap, laying the foundation for the Advex platform.
• Understand gaps in data distributions.
• Control Diffusion Models.
• Evaluate generative models.
• Full-stack development.
• Large scale model training.
• Build infrastructure to run complex ML pipelines.
• Prune and model quantization.
Qualifications:
Required:
• 3 to 5 years of industry experience in full-stack Deep Learning and Computer Vision
• Prior experience working at a startup
• Experiences in end to end ML application development, including data engineering, model tuning, and model serving
• Technical expertise demonstrated through published papers or industry experience: Representation learning – SSL, VAE, Dino, SAM
• Building and scaling ML Infrastructure - AWS, GCP, containerization
• Proven track record of rapidly delivering complex project within tight deadlines
• Ability to make critical decisions with little information
• Excel at identifying bottlenecks and gaps within research papers and swiftly translating them into code.
Company:
**Acquired by OneCruit in July 2025** OpenReq is the embedded recruiting firm built for early-stage startups (Seed to Series B) in the AI & Hard Tech space. Founded in 2020, the company is headquartered in San Diego, USA, with a team of 11-50 employees. The company is currently Early Stage.