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Machine Learning Government Jobs in California (NOW HIRING)

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

S. government contracts. * All employment is contingent upon the successful clearance of a ... Familiarity with embedded machine learning, real-time systems, or deploying machine learning on ...

True Anomaly

Machine Learning Engineer

Long Beach, CA · On-site

They are seeking a Machine Learning Engineer to join their Applied Algorithms and Autonomy team ... Government space technology export regulations, including the International Traffic in Arms ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

S. government contracts. * All employment is contingent upon the successful clearance of a ... of experience in machine learning, with demonstrated application to real-world problems; no ...

HADRIAN

Machine Learning Engineer

Los Angeles, CA

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Government space technology export regulations, including the International Traffic in Arms ...

HADRIAN

Machine Learning Engineer

Los Angeles, CA

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Government space technology export regulations, including the International Traffic in Arms ...

Hadrian

Machine Learning Engineer

Los Angeles, CA

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Government space technology export regulations, including the International Traffic in Arms ...

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How much do machine learning government jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for machine learning government in California is $22.52, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $25.14 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Government position, and why are they important?

To excel in a Machine Learning Government role, candidates typically need expertise in data analysis, machine learning algorithms, and programming languages such as Python or R, often backed by a degree in computer science, data science, or a related field. Familiarity with government data systems, cloud platforms, and security protocols, as well as certifications like Certified Data Professional (CDP), can be valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts to non-experts are highly desirable soft skills. These competencies enable professionals to effectively integrate machine learning solutions while adhering to regulatory requirements and serving public sector objectives.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in government agencies, tech companies, or research institutions with competitive compensation packages. Such salaries reflect the high demand for expertise in AI and the complexity of the work involved.

Which 5 jobs will survive AI?

Machine Learning Government roles that involve complex decision-making, policy development, and oversight are less susceptible to automation. Jobs requiring human judgment, ethical considerations, and interpersonal skills—such as data analysts, AI ethics specialists, cybersecurity experts, government strategists, and technical trainers—are likely to persist alongside AI advancements. Continuous learning and certification in AI tools can also enhance job security in this field.

Which 3 jobs will survive AI?

Machine Learning Government roles such as data analysts, AI ethics specialists, and cybersecurity professionals are likely to persist as AI automates routine tasks. These jobs require critical thinking, domain expertise, and ethical judgment that are difficult for AI to replicate fully. Skills in programming, data management, and regulatory knowledge will remain valuable in these fields.

Is ML a high paying job?

Machine Learning roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries vary based on experience, location, and organization, but they tend to be above average compared to many other roles in technology and government sectors.

What types of government projects do machine learning professionals typically work on?

Machine learning professionals in the government sector often work on projects related to public service optimization, fraud detection, public safety analytics, and predictive modeling for policy development. These roles may involve collaborating with cross-functional teams, including data analysts, policymakers, and IT specialists, to turn large datasets into actionable insights. Daily tasks might include cleaning and analyzing data, building predictive models, and presenting results to stakeholders with varying technical backgrounds. The work environment is usually mission-driven, with an emphasis on transparency, compliance, and impact. Over time, professionals in this field can advance into leadership or specialized research roles, contributing to innovative solutions that benefit the public.

What is a Machine Learning Government job?

A Machine Learning Government job involves applying artificial intelligence and data science techniques to solve problems in public sector domains like healthcare, cybersecurity, law enforcement, and policy analysis. Professionals in this field work with large datasets, develop predictive models, and enhance decision-making processes for government agencies. They may also focus on ethical AI deployment, regulatory compliance, and ensuring transparency in machine learning applications. These roles often require expertise in programming, statistics, and domain-specific knowledge related to government operations.

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 Machine Learning Government jobs in California? For Machine Learning Government jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Government jobs in California look for? The top searched job categories for Machine Learning Government jobs in California are:
What cities in California are hiring for Machine Learning Government jobs? Cities in California with the most Machine Learning Government job openings:
Machine Learning Government jobs near you
Infographic showing various Machine Learning Government job openings in California as of June 2026, with employment types broken down into 76% Full Time, 18% Part Time, and 6% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $46,846 per year, or $22.5 per hour.

Machine Learning Engineer

True Anomaly

Long Beach, CA • On-site

Full-time

Posted 2 hours ago

Job description

Job Summary:
True Anomaly is a company focused on delivering technology for space superiority. They are seeking a Machine Learning Engineer to design and develop machine learning and AI capabilities, contributing to object classification, anomaly detection, and data-driven decision-making.
Responsibilities:
• Assist in the development, training, and evaluation of ML models across a range of mission-relevant tasks
• Support data ingestion, preprocessing, and feature engineering pipelines
• Run experiments, track results, and contribute to model evaluation and iteration
• Write clean, documented, and testable Python code as part of a collaborative engineering team
• Learn and grow alongside senior engineers, contributing meaningfully from day one
Qualifications:
Required:
• Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline
• Proficient in Python
• Foundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation
• Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projects
• Strong mathematical fundamentals in linear algebra, statistics, and probability
• Eagerness to learn, take feedback, and grow in a fast-paced, mission-driven environment
• Passion for spaceflight and advancing capabilities related to space domain awareness and space security
• Work Location— this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Preferred:
• Internship, research, or project experience applying ML to real-world or research datasets
• Familiarity with classification, regression, clustering, or anomaly detection techniques
• Experience with version control (Git) and basic software engineering practices
• Exposure to MLOps concepts such as experiment tracking or model versioning
• Coursework or project work in deep learning, computer vision, or time-series analysis
Company:
True Anomaly develops space security technologies, including spacecraft, software platforms, and mission systems for orbital operations. Founded in 2022, the company is headquartered in Centennial, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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