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Machine Learning Government Jobs in Texas (NOW HIRING)

webAI Inc

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused ... government cloud infrastructure to edge devices in restricted or disconnected environments.

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

To conform with the United States Government Space Technology Export Regulations, the applicant ... We are looking for a Senior Machine Learning Engineer II to contribute to the development and ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

To conform with the United States Government Space Technology Export Regulations, the applicant ... We are looking for a Senior Machine Learning Engineer II to contribute to the development and ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX

$103K - $142K/yr

To conform with the United States Government Space Technology Export Regulations, the applicant ... We are looking for a Senior Machine Learning Engineer II to contribute to the development and ...

Visa

Senior Director- Machine Learning

Austin, TX · On-site

... and government entities across more than 200 countries and territories, dedicated to uplifting ... Experience with Generative AI and Machine Learning is essential. Prior background in payments and ...

Visa

Senior Director- Machine Learning

Austin, TX · On-site

... and government entities across more than 200 countries and territories, dedicated to uplifting ... Experience with Generative AI and Machine Learning is essential. Prior background in payments and ...

Visa

Senior Director- Machine Learning

Austin, TX

... and government entities across more than 200 countries and territories, dedicated to uplifting ... Experience with Generative AI and Machine Learning is essential. Prior background in payments and ...

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Machine Learning Government information

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 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?

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 Texas?

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

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

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

What job categories do people searching Machine Learning Government jobs in Texas look for?

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

Machine Learning Government jobs near you
Infographic showing various Machine Learning Government job openings in Texas as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

Senior Machine Learning Engineer (Active Secret Clearance)

Striveworks

Austin, TX • On-site

$185K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

"In 36 months, agentic AI systems will be an operating reality across major institutions. We intend to be central to it." - Dr. Jim Rebesco, Cofounder and CEO, Striveworks
The government's demand for AI is growing far faster than the systems required to support it. Fewer than 15% of federal AI programs have reached sustained production, despite billions of dollars invested. The models perform in testing, but they degrade in the real world. And when performance drops, trust goes with it.
Striveworks was built to solve that problem.
What you'll build
Since 2018, we have delivered the most trusted AI systems operating in real-world use cases-providing a layer of assurance underneath hundreds of deployed models that monitors performance, manages drift, and sustains systems long after they leave the lab.
As a Senior Machine Learning Engineer, you will be a core contributor to both customer-driven projects and the enduring products of the company. Working directly with customers, data scientists, software engineers, and DevOps engineers, you'll define requirements and orchestrate complex data engineering pipelines. You'll also develop machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data. Your work will inform the future of Chariot, our proprietary AI operations platform, and it extends to the field, with mission-critical deployments, direct customer contact, and insights that shape what we build next.
What it's like here
We lead with trust, treat each other with respect, and use candor consistently, kindly, and constructively. We care deeply about our work, and we find genuine satisfaction in doing it well. Above all, we take ownership-because we feel the weight of collective results personally. We are looking for people who share these values and are eager to put them into practice.
What we're looking for
  • A BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience
  • Demonstrated experience delivering data-centric systems
  • Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of TensorFlow, PyTorch, and/or scikit-learn
  • Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language
  • Proficiency with modern software engineering tools and processes
  • Active Secret (or above) US security clearance and US citizenship

The following isn't required, but we'd love to see it:
  • Advanced degree in data science, machine learning, computer science, or a related discipline
  • Knowledge of relevant architectures and design patterns for client-server systems
  • Experience implementing and deploying software into containerized or cloud environments
  • Experience with a variety of unstructured data types
  • Experience delivering technology solutions in secure government environments
  • Experience building AI agents, agentic workflows, or agentic systems
  • Experience defining, scoping, planning, and delivering complex, production-level technical solutions
  • Experience leading, managing, or mentoring small, cross-functional engineering teams

You will be hybrid out of our Austin, Texas, office. This role requires travel up to 25% of the time.
Compensation
The anticipated base pay range for this position is $185,000-$230,000/year. Striveworks' total compensation package includes a competitive base salary, equity grants, and cash bonuses.
Benefits include:
  • Medical/dental/vision insurance
  • Voluntary life, long-term disability, accident, and hospital indemnity insurance
  • HSA and FSA (including dependent care FSA) plans
  • 401(k) plan
  • Unlimited PTO
  • Paid parental leave

Ready to build systems that work for a mission that matters? Let's talk.
Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.
If you require assistance or a reasonable accommodation in the application process, please contact People Operations at hr@striveworks.us.
In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.
Striveworks is a participating employer in the E-Verify program.

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