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Machine Learning Government Jobs (NOW HIRING)

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 ...

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 ...

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred

asrcfh

Expert Machine Learning Engineer

Moorestown, NJ · On-site

... government agencies with prediction, classification, and anomaly detection tasks • Evaluating ... machine learning techniques including popular frameworks • Extensive experience with LLM ...

New

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 ...

WireScreen

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $150/hr

We launched just three years ago and already have strong traction with top-tier government ... As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock ...

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Machine Learning Government information

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How much do machine learning government jobs pay per hour?

As of Sep 4, 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 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.

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Machine Learning Government jobs near you
Infographic showing various Machine Learning Government job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.

Machine Learning Engineer

Nutanix

Santa Clara, CA • On-site

$123.75 - $185/hr

Other

Medical, Dental, Vision

Re-posted 12 hours ago

Job description

About Eightfold: Eightfold is a global leader in AI‑native enterprise talent platform, trusted by the world’s largest & most respected Fortune 500 organizations. Our platform is built from the ground up to operate at scale across Azure and AWS, deployed in multiple regions globally, including IL4‑compliant environments for the US Government, supporting users in 100+ countries and 30+ languages. Today, Eightfold is at the forefront of agentic AI, delivering intelligent agents that actively drive outcomes across hiring and talent workflows, while much of the industry is still experimenting with prototypes. We are defining the next era of agentic systems in a deeply technical, execution‑driven organization that values ownership, collaboration, and high standards.

Responsibilities
  • Research, design, development, and deployment of advanced AI agents and agentic systems.
  • Architect and implement complex multi‑agent systems, including planning, decision‑making, and execution capabilities.
  • Develop and integrate large language models (LLMs) and other state‑of‑the‑art AI techniques to enhance agent autonomy and intelligence.
  • Build robust, scalable, and reliable infrastructure to support the deployment and operation of AI agents at scale.
  • Collaborate with product managers, UX designers, and other engineers to define requirements and deliver impactful solutions.
  • Diagnose and troubleshoot issues in complex distributed environments and optimize system performance.
  • Contribute to the team’s technical growth and knowledge sharing.
  • Stay up‑to‑date with the latest advancements in AI research and agentic AI and apply them to our products.
  • Leverage enterprise data, market data, and user interactions to build intelligent and personalized agent experiences.
  • Contribute to the development of Copilot GenAI Workflows for Users, enabling chat‑like command execution.
Qualifications
  • Knowledge and passion in machine learning algorithms, Gen AI, LLMs, and natural language processing (NLP).
  • Understanding of agent‑based modeling, reinforcement learning, and autonomous systems.
  • Experience with large language models (LLMs) and their applications in Agentic AI.
  • Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow or PyTorch.
  • Experience with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes).
  • Understanding of distributed system design patterns and microservices architecture.
  • Demonstrable coding and algorithms skills.
  • Excellent problem‑solving and data analysis skills.
  • Strong communication and collaboration skills.
  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent years of experience.
  • Minimum 1–3+ years of relevant machine learning work experience.
Preferred Qualifications
  • Research experience in agentic AI or related fields.
  • Experience building and deploying AI agents in real‑world applications.
Pay Transparency

Base pay is only one component of the total compensation package and includes annual bonuses and equity. The role is categorized as hybrid in Santa Clara, CA. Zone A base annual salary range: $123,750 to $185,000, + discretionary annual 10% bonus + pre‑IPO equity (stock options).

Hybrid Work

We follow a hybrid work model with in‑person collaboration. Employees near the Santa Clara, CA office are expected to be in the office 3 days per week to support innovation and rapid execution.

Equal Employment Opportunity

Eightfold.ai provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran or disability status.

Benefits include comprehensive family medical, vision and dental coverage, competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions.

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