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Associate Machine Learning Government Jobs in California

Eightfold.ai

Machine Learning Engineer

Santa Clara, CA · On-site

$123K/yr

... 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 ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

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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All JobsAssociate Machine Learning Government JobsAssociate Machine Learning Government Jobs in California

Associate Machine Learning Government information

What is the difference between Associate Machine Learning Government vs Data Scientist Government?

AspectAssociate Machine Learning GovernmentData Scientist Government
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in Data Science, Statistics, or related; certifications like CAP or DASCA are common
Work EnvironmentGovernment agencies, research labs, or defense sectors; focus on ML model development and deploymentGovernment agencies, policy analysis, research; focus on data analysis, modeling, and insights
Employer & Industry UsageFederal, state, or local government; defense, intelligence, or public servicesGovernment departments, research institutions, public policy agencies

Associate Machine Learning Government and Data Scientist Government roles often overlap in credentials and work environment, but the former emphasizes ML model development, while the latter focuses on broader data analysis and insights within government sectors.

What are the most commonly searched types of Machine Learning Government jobs in California?

The most popular types of Machine Learning Government jobs in California are:

What are popular job titles related to Associate Machine Learning Government jobs in California?

For Associate Machine Learning Government jobs in California, the most frequently searched job titles are:

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The top searched job categories for Associate Machine Learning Government jobs in California are:

What cities in California are hiring for Associate Machine Learning Government jobs?

Cities in California with the most Associate Machine Learning Government job openings:

Associate Machine Learning Government jobs near you

Senior Machine Learning Engineer

The Marlin Alliance, Inc.

San Diego, CA • On-site

$130K - $171K/yr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
The Marlin Alliance, Inc. is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role involves collaborating with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments.
Responsibilities:
• Collaborate with cross-functional teams to understand and address Navy operational challenges using data pipelines and analytics.
• Design, develop, and implement data pipelines and analytics for naval applications.
• Perform exploratory data analysis, algorithm development, and testing.
• Normalize and structure data to common standards for interoperability.
• Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC.
• Develop and deploy data pipelines and analytics in real-world operational environments.
• Deploy, monitor, and optimize data pipelines to ensure high performance and reliability.
• Implement event streaming pipelines using Apache Kafka, AWS Kinesis, RabbitMQ, or ZeroMQ.
• Utilize distributed computing platforms such as AWS Lambda, Dask, or Spark.
• Leverage cloud-native tools including AWS S3, RDS, EFS, SNS, and SQS.
• Utilize data pipeline frameworks such as AirByte, Apache Airflow, dbt, Apache Iceberg, and Snowflake.
• Work with GIS data using ArcGIS, PostGIS, and related tooling.
• Implement containerized environments using Docker or Kubernetes.
• Apply cybersecurity principles in the context of secure DoD data applications.
• Communicate findings and engineering solutions effectively with technical and mission stakeholders.
Qualifications:
Required:
• 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.
• Strong programming skills in Java, C++, Go, or Rust.
• Strong analytical, problem-solving, and communication skills.
• Ability to work effectively in a collaborative team environment.
• 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 recurring basis during shipboard operations or testing evolutions.
• Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
• Candidates should be prepared to complete a coding exercise as part of the interview process.
Preferred:
• Experience with distributed computing and parallel processing.
• Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).
• Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• 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.
• Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred).
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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