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Machine Learning Government Jobs in California (NOW HIRING)

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

Government space technology export regulations, including the International Traffic in Arms ... or Machine Learning • Demonstrated experience with detection/segmentation models and achieving ...

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $300K/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 ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

You will join the Signals and Systems group where you will be developing machine learning solutions ... S. citizen with the ability to obtain necessary security clearance as required by government ...

Nutanix

Machine Learning Engineer

Santa Clara, CA · On-site

$123.75 - $185/hr

... 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 ...

Rule14

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

As a Data Scientist Machine Learning, you will work within a small data science team focusing on ... within government programs, Rule14 empowers organizations assessing massive amounts of data for ...

CYNET SYSTEMS

Machine Learning Engineer

San Jose, CA · On-site

$55 - $60/hr

... machine learning models in a production environment. * Advanced proficiency in Python and its core ... government agencies, and enterprise organizations across the United States and Canada. We deliver ...

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How much do machine learning government jobs pay per hour?

As of Sep 5, 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 is a machine learning government?

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 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 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 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 August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $46,846 per year, or $22.5 per hour.

Machine Learning Research Engineer, Applied Research

Convectivecapital

Redwood City, CA • On-site

$140 - $240/hr

Other

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description

Machine Learning Research Engineer, Applied Research

WindBorne Systems is supercharging weather forecasts with a unique proprietary data source: a global constellation of next-generation smart weather balloons targeting the most critical atmospheric data. We design, manufacture, and operate our own balloons, using the data they collect to generate otherwise unattainable weather intelligence.

Our mission is to eliminate weather uncertainty, and in the process help humanity adapt to climate change, be that predicting hurricanes or speeding the adoption of renewables. We are building a future in which the planet is instrumented by thousands of our microballoons, eliminating gaps in our understanding of the planet and giving people and businesses the information they need to make critical decisions.

WindBorne builds AI weather models that run 24/7, producing global forecasts every 20 minutes. Our technology creates research opportunities that do not arrive as clean benchmark problems: a customer needs a forecast tailored to a new decision, a government partner poses a difficult technical question, or a new dataset might improve performance in a domain we have never tested. We need someone who can take an underspecified, high-value problem and drive it from first conversation through research prototype and convincing result.

Responsibilities
  • Ambiguous applied research problems — Translate real-world needs from customers, government programs, and internal teams into tractable machine learning questions, experiments, and deliverables.
  • Rapid technical development — Build prototypes, adapt models, analyze unfamiliar datasets, and test ideas quickly. Some projects will become product capabilities; others will answer an important question and point us toward the next one.
  • End-to-end project ownership — Scope work, identify technical risks, set milestones, execute the research, and communicate progress. You will often be the person making sure an open-ended project reaches a useful conclusion.
  • Model and data adaptation — Explore ways to customize WeatherMesh for particular regions, forecast targets, observation sources, or operational constraints.
  • External technical partnership — Serve as a technical counterpart to sophisticated customers and research partners. Understand what they actually need, explain our models accurately, and build trust through clear reasoning and reliable execution.
  • Research communication — Present results through demonstrations, reports, and technical briefings. Explain both what worked and the limitations that remain.
Skills and Qualifications
  • Strong Python and PyTorch skills, including the ability to modify research code and build working prototypes independently.
  • A track record of taking loosely specified technical problems from idea to validated result.
  • Strong experimental instincts and comfort working with imperfect data, incomplete requirements, and changing priorities.
  • Excellent written and verbal communication. You can work directly with external partners without overstating results or losing them in unnecessary detail.
  • Comfortable moving between research, engineering, analysis, and project coordination as the problem requires.
  • Experience with weather, climate, geospatial data, scientific machine learning, government research programs, or forward-deployed engineering is helpful, but not required.
Benefits
  • 401(k)
  • Dental insurance
  • Health insurance
  • Vision insurance
  • Unlimited PTOStock Option Plan
  • Office food and beverages
Salary
  • $140k–$240k. We are considering a range of backgrounds and experience levels for this position and adjust our offers accordingly to be competitive with market rates.
Location

1600 Bridge Pkwy, Redwood City, CA. Hybrid or in-person.

What our hardware looks like

WindBorne Systems is based in Redwood Shores, California. Our technology is invented, designed, and manufactured in the USA.

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