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Machine Learning Government Jobs (NOW HIRING)

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 ...

Visa

Director, Machine Learning

Austin, TX · On-site

... and government entities across more than 200 countries and territories, dedicated to uplifting ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

Visa

Director, Machine Learning

Austin, TX · Hybrid

... and government entities across more than 200 countries and territories, dedicated to uplifting ... We are currently looking for a Director of Machine Learning who will take the lead and manage ...

Hirekeyz Inc

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118K - $162K/yr

Role: Sr. Machine Learning Engineer Location: Ft. Belvoir, VA (On-site with Hybrid Option) Duration ... Liaise with government software vendors and other asset creators; lead coordination of point ...

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Machine Learning Government information

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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 the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 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.

More about Machine Learning Government jobs
What cities are hiring for Machine Learning Government jobs? Cities with the most Machine Learning Government job openings:
What are the most commonly searched types of Machine Learning Government jobs? The most popular types of Machine Learning Government jobs are:
What states have the most Machine Learning Government jobs? States with the most job openings for Machine Learning Government jobs include:
What job categories do people searching Machine Learning Government jobs look for? The top searched job categories for Machine Learning Government jobs are:
Machine Learning Government jobs near you
Infographic showing various Machine Learning Government job openings in the United States as of June 2026, with employment types broken down into 76% Full Time, 18% Part Time, and 6% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.
Machine Learning Engineer

Machine Learning Engineer

Silvus Technologies

Los Angeles, CA • On-site

Full-time

Posted 15 days ago

Job description

THE COMPANY
Silvus Technologies, a leading provider of advanced MANET and MIMO communications systems, is reshaping mesh network technology for mission-critical applications - on the ground, in the air and at sea. Its battle-proven StreamCaster family of MANET radios and proprietary MN-MIMO waveform provides the vital communications link for defense, law enforcement and public safety agencies around the world, and in the toughest operational environments.
With deep roots in DARPA research, Silvus Technologies develops world-class advanced communications technologies that are reshaping the tactical communications landscape. From pure line-of-sight to extreme non-line-of-sight, Silvus radios form a self-healing, self-forming mesh network, enabling secure and reliable connectivity, including video and high-bandwidth data.
Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.
Would you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of "Keeping Our Heroes Connected"?
THE OPPORTUNITY
Silvus is seeking a Machine Learning Engineerwho will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus' advanced MIMO radios and wireless networking systems. This individual will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments.
This position is based at Silvus Technologies' headquarters in the heart of vibrant West Los Angeles, CA, and is on a hybrid schedule. A minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays.
The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.
ROLE AND RESPONSIBILITIES
  • Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).
  • Analyze real-world RF datasets to extract insights and develop predictive models.
  • Develop software prototypes and integrate ML algorithms with Silvus' radio firmware and networking stack.
  • Collaborate with cross-functional teams to define ML use cases and evaluate the impact of deployed models.
  • Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.
  • Participate in performance benchmarking and iterative improvement cycles.
  • Stay current with the latest Machine Learning research for wireless and embedded systems.
  • Perform other related duties of which the above are representative.

REQUIRED QUALIFICATIONS
  • Bachelor of Science degree in Electrical Engineering, Computer Science, Computer Engineering, or related field plus a minimum of 2 years of experience in machine learning, with demonstrated application to real-world problems; no experience required with an advance degree (MS or PhD)
  • Strong foundation in supervised and unsupervised learning and statistical modeling.
  • Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
  • Exposure to MATLAB or C/C++ for signal processing algorithm development.
  • Must be a U.S. Citizen due to clients under U.S. government contracts.
  • All employment is contingent upon the successful clearance of a background check and drug test.

PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES
  • MS. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
  • Demonstrated experience with RF signal classification, anomaly detection, or spectrum monitoring.
  • Proficiency in MATLAB or C/C++ for signal processing algorithm development.
  • Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access).
  • Familiarity with embedded ML, real-time systems, or deploying ML on edge devices.
  • Background in adaptive modulation, beamforming, or cognitive radio techniques.
  • Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms.
  • Experience with GPU acceleration or model optimization for constrained environments.
  • Excellent communication and collaboration skills.

WORKING CONDITIONS AND PHYSICAL REQUIREMENTS
  • Office environment.
  • Outdoor environment for demos.
  • Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.
  • While performing the duties of this job, the employee is required to do the following:
    • Lift equipment up to 20 lbs. for the set-up of demonstrations and testing.
    • Perform bending and reaching movements to place items on lower and higher shelves.

#silvuscareers
COMPENSATION
The pay range is NOT a guarantee. It is based on market research and peer data, and will vary depending on the candidate's experience and qualifications.
CA Pay Range
$100,000-$140,000 USD
Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.
NOTE - As a US Federal Contractor, Silvus Technologies requires that ALL candidates being considered for employment for any position (regardless of level) MUST be a U.S. Person (permanent resident or citizen). Stricter U.S. Citizen ONLY requirements (needed for some Engineering or R&D roles) will be included in the Required Qualifications section of the posted position. This does NOT apply to international positions; only job postings for positions located in the US.
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you'd like to join our team but feel that you don't quite meet all of the preferred skills, we'd still love to hear why you think you'd be a great addition to our team.
We're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.

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