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Contractual Machine Learning Government Jobs in California

General Atomics

Machine Learning Engineer IV

Poway, CA · On-site

... machine learning platforms and processes, and ensuring excellence across our AI/ML initiatives ... Government / GCC High, IL4, CI/CD workflows. * Automate model deployment, testing, monitoring, and ...

New

General Atomics

Machine Learning Engineer IV

Poway, CA · On-site

$140K - $252K/yr

... machine learning platforms and processes, and ensuring excellence across our AI/ML initiatives ... Government / GCC High, IL4, CI/CD workflows. * Automate model deployment, testing, monitoring, and ...

Turion Space

Machine Learning Engineer

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S ...

Layup Parts

Machine Learning Engineer

Huntington Beach, CA · On-site

$120 - $185/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to train custom models using our internal data. This ... S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S ...

Layup Parts

Machine Learning Engineer

Huntington Beach, CA

$120K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to train custom models using our internal data. This ... S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S ...

Layup Parts

Machine Learning Engineer

Huntington Beach, CA · On-site

$120K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to train custom models using our internal data. This ... S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S ...

Anywhere Real Estate

Machine Learning Engineer

Santa Clara, CA · On-site

$123K/yr

  • Medical

  • Dental

  • Vision

... Government, supporting users in 100+ countries and 30+ languages. Today, Eightfold is at the ... Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing ...

Eightfold.ai

Machine Learning Engineer

Santa Clara, CA · On-site

$123K/yr

  • Medical

  • Dental

  • Vision

... Government, supporting users in 100+ countries and 30+ languages. Today, Eightfold is at the ... Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing ...

Tubi

Machine Learning Engineer (Staff & Principal)

San Francisco, CA · On-site +1

$292K - $417K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With ... government leave program(s) and FOX's short-term disability policy. This time is 100% paid through ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

  • Medical

  • Retirement

  • PTO

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and ... About Leidos Leidos is an industry and technology leader serving government and commercial ...

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Machine Learning Engineer III

The Marlin Alliance, Inc.

San Diego, CA • On-site

$61 - $82/hr

Full-time

Re-posted 29 days ago

Job description

Job Summary:
The Marlin Alliance, Inc. is a digital transformation company dedicated to ensuring clients compete in tomorrow's digital world. The Machine Learning Engineer III designs and implements sophisticated models and algorithms for naval applications, overseeing the full lifecycle of AI solutions and collaborating across multidisciplinary teams to deliver scalable, mission-critical intelligence.
Responsibilities:
• Design, develop, and implement machine learning models and algorithms for naval applications.
• Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.
• Perform data preprocessing, feature engineering, model evaluation, and validation.
• Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.
• Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.
• Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Contribute to distributed computing and parallel processing approaches to optimize ML model performance.
• Participate in CI/CD pipeline development, automation, and DevSecOps workflows.
• Apply cybersecurity principles in the design and deployment of machine learning systems.
• Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.
• Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.
Qualifications:
Required:
• 10+ years of experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.
• Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.
• Strong programming skills in Python.
• Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with software engineering best practices, including Git.
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong programming skills in Java, C++, Go, or Rust.
• Experience with distributed computing and parallel processing.
• Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative team environment.
• Previous experience supporting government agencies or military organizations.
• Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
• Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
• Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions.
• Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
Preferred:
• Experience with cloud-native architecture and software API design.
• Experience integrating machine learning into operational DoD systems or edge computing environments.
• Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.
• Experience supporting NAVWAR, NIWC Pacific, or other Navy C2/ISR programs.
• Advanced degrees (MS/PhD) in related fields are preferred but not required.
• Additional certifications in cloud, cybersecurity, AI/ML, or DevSecOps are a plus if required by contract.
Company:
The Marlin Alliance, Inc. Founded in 2002, the company is headquartered in San Diego, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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