Senior Machine Learning Engineer (Active Secret Clearance)

Posted Yesterday
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Austin, TX, USA
Hybrid
185K-230K Annually
Senior level
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
The Role
Design and deploy production-grade machine learning models and data pipelines across image, video, text, geospatial, time-series, and structured data. Collaborate with customers, data scientists, software and DevOps engineers to define requirements, maintain mission-critical deployments, and contribute to the Chariot AI operations platform.
Summary Generated by Built In

“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 [email protected].

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.

Skills Required

  • BS in computer science, machine learning, or related discipline and 6+ years relevant experience
  • Demonstrated experience delivering data-centric systems
  • Excellence in Python
  • Knowledge of TensorFlow, PyTorch, and/or scikit-learn
  • Proficiency in software engineering fundamentals (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
  • Ability to work hybrid out of the Austin, Texas office
  • Willingness to travel up to 25% of the time
  • Advanced degree in data science, machine learning, computer science, or related discipline
  • Knowledge of 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 (image, video, text, geospatial)
  • 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

What the Team is Saying

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Striveworks Compensation & Benefits Highlights

  • Healthcare Strength Health coverage includes medical, dental, and vision, plus optional life and long‑term disability alongside HSA and FSA (including dependent‑care) options. This breadth indicates a comprehensive protection suite for everyday and longer‑term needs.
  • Leave & Time Off Breadth Time away is presented as unlimited PTO with explicit paid parental leave. The scope of leave options points to strong flexibility for rest and family needs.
  • Equity Value & Accessibility Ownership upside is offered through a stock incentive plan, complemented by performance bonuses. This setup provides potential value beyond base pay and links rewards to company growth.

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The Company
HQ: Austin, TX
83 Employees
Year Founded: 2018

What We Do

“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 next era of American leadership will be defined by whether our AI systems can work when and where it matters most. Since 2018, Striveworks has delivered the most trusted AI systems operating in continuous, real-world use. Today, our platform is trusted by hundreds of people responsible for some of the most important operations across the United States, and the results speak for themselves. Chariot solves what most platforms don’t, delivering and managing production-grade ML in austere, disconnected, and high-stakes environments where speed and accuracy are mission-critical. At scale, systems process data 21x faster and fuse signals 40x faster across distributed nodes. In live environments, models deliver ~30% average performance lift, with gains up to 2x on specific object classes. In critical workflows, execution improves by 95% with no loss in accuracy. If you want to build systems that work for a mission that matters—and be accountable for systems that work in the real world, we should talk. Striveworks is a Deloitte Technology Fast 500 and a Built In Best Places to Work.

Why Work With Us

Our people and products shape solutions that directly affect the geopolitical landscape. We are cross-functional talent working together on the cutting edge to provide mission critical solutions.

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Striveworks Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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HQAustin, TX
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Vass, NC
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