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Freelance Full Stack Machine Learning Engineer Jobs in California

Full Stack Engineer

San Diego, CA · On-site

$92K - $185K/yr

TRABUS works directly with end-users to build machine learning and full stack solutions from the ... Full Stack Engineer (Multiple Levels) We're looking for a Full Stack Engineer to support the ...

Machine Learning Engineer

El Segundo, CA · On-site

$77.60 - $176/hr

You'll grow within a talented team of machine learning engineers across the company and collaborate with full-stack software engineers, data scientists, solutions architects, and defense mission ...

As a Machine Learning Engineer, you will shape the technical direction of the company by automating ... Required : • 3 to 5 years of industry experience in full-stack Deep Learning and Computer Vision ...

You'll own the full stack of applied ML - from data curation to evaluation and production ... Machine Learning Engineer who enjoys building real systems people depend on. You'll likely have ...

Full Stack Engineer

San Diego, CA · On-site

$110 - $170/hr

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

FULL STACK ENGINEER

San Diego, CA · On-site

$135K - $145K/yr

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

FULL STACK ENGINEER

San Diego, CA · On-site

$135K - $145K/yr

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

Our Full Stack Developer will have knowledge of machine learning algorithms and DevOps tools for its diverse projects in marine transportation, cybersecurity and climate/environmental informatics.

Machine Learning Engineer Department: DS/ML (Data Science/Machine Learning) Employment Type ... At BigHat Biosciences our full-stack antibody drug development platform uses AI/ML to drive every ...

New

Machine Learning Engineer

San Mateo, CA · On-site

$150K - $200K/yr

Machine Learning Engineer Department: DS/ML (Data Science/Machine Learning) Employment Type ... At BigHat Biosciences our full-stack antibody drug development platform uses AI/ML to drive every ...

Machine Learning Engineer

Torrance, CA · On-site

$160K - $300K/yr

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

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Familiarity with data processing stacks such as Spark and Airflow. * Experience with multi-node GPU ...

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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 are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in California?

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

Full Stack Engineer

Trabus Technologies

San Diego, CA • On-site

$92K - $185K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Build What’s Next with TRABUS Technologies

We’re growing our San Diego team and currently have several exciting opportunities for talented professionals who want to work on innovative technologies supporting both government and commercial customers. TRABUS works directly with end-users to build machine learning and full stack solutions from the ground up and tackle challenging problems in maintenance planning, maritime traffic analysis, and assessing the impacts of extreme weather events. TRABUS is looking to fill the following positions.


Full Stack Engineer (Multiple Levels)

We’re looking for a Full Stack Engineer to support the development and deployment of applications incorporating AI, data analytics, cloud technologies, and DevOps across diverse mission-focused projects. This is a great opportunity to build out new applications and features while working with Python, Django, React, cloud technologies, APIs, AI, and big data applications.


Data Scientist / Machine Learning Engineer

Join our AI team and help develop machine learning solutions across a variety of real-world applications, including resource planning, transportation, and environmental informatics. Experience with Python and machine learning technologies is key.


Senior UX/UI Engineer & Product Owner

A senior-level opportunity for an experienced UX/UI professional who can combine hands-on design and frontend expertise with product ownership, project management, and cross-functional leadership.


About the Team

We are a tight-knit team of 13 who each contribute to two to three projects at a time. We work hybrid, with two days in the office and three days at home most weeks, and we occasionally travel for on-site design sprints with our customers, which keeps things interesting. We use Agile methodologies and have found them extremely effective in keeping our team aligned and moving fast. As we continue to grow our project portfolio, we are looking for talented individuals who are excited to bring their skills to a collaborative and dynamic team.


Basic Qualifications

  • 2 years of professional software development experience
  • Experience programming in a high-level language such as Python, JavaScript, or Go
  • Experience with Python-based web frameworks such as Fast API, Django or Flask
  • Experience with front-end languages and frameworks such as React, JavaScript, TypeScript, CSS, Bootstrap, or Tailwind
  • Experience with database technologies such as PostgreSQL, MySQL, and NoSQL data stores such as Redis or MongoDB
  • Basic knowledge of automation tools and CI/CD
  • Experience handling git repositories such as GitHub, Gitlab, or BitBucket
  • US citizenship


Preferred Qualifications

  • Bachelor's degree in Computer Science/Engineering/Data Science or other STEM-related discipline.
  • 4+ years of professional software development experience
  • Experience with containerization tools such as Docker and Kubernetes
  • Knowledge of AI and machine learning/deep learning technologies such as TensorFlow, PyTorch, and Keras
  • Strong knowledge of Linux or Unix-like OS
  • Proficiency in MS Office Applications
  • Strong written and oral communication skills
  • Attention to detail, procedural compliance, and the ability to manage multiple duties simultaneously while meeting deadlines
  • Experience working in Agile environments
  • DoD adjudicated secret clearance (not required)


Salary Range (depending on experience level)

  • $92,000 - $185,000


Benefits

  • Paid Time Off
  • Holidays
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Account
  • 401(k)
  • Life AD&D


Interested in learning more? Check out our open positions at www.trabus.com and see where you might fit in!