Staff Machine Learning Engineer (Active Secret Clearance)

Reposted 16 Days Ago
Easy Apply
2 Locations
Remote or Hybrid
200K-250K Annually
Expert/Leader
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
The Role
As a Staff Machine Learning Engineer, lead teams in designing AI solutions, managing projects, and interfacing with clients while ensuring technical excellence and operational effectiveness.
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 Staff Machine Learning Engineer, you will be both a core contributor and a customer-facing technical leader. You’ll initiate the design, build, and delivery of systems—from data shaping and analytics to end-user delivery. Customers and engineers will bring you the hard problems. You’ll turn them into working systems and see them through to execution. The work will take you into the field, where direct customer input will 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
  • An advanced degree in data science, machine learning, computer science, or a related discipline and 10+ years of relevant experience
  • Proven ability to lead, manage, and mentor cross-functional engineering teams across office, remote, and customer environments
  • Demonstrated experience defining, scoping, planning, and driving execution plans for complex, production-level technical solutions
  • Strong communication skills and a track record of translating complex technical topics with clarity and professionalism to both internal engineering teams and external stakeholders 
  • Broad proficiency in programming languages common to machine learning, with excellence in Python and at least one systems programming language
  • Proficiency in the design and delivery of algorithms, data structures, and production analytics and in the use of design patterns in cloud environments
  • 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:

  • Experience with K8s and horizontally scaled architectures
  • Knowledge of NATS, Kafka, RabbitMQ, or similar
  • Experience building AI agents and workflows
  • Experience with complex and varied data types
  • Experience delivering technology solutions in secure government environments

You will be remote or 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 $210,000–$260,000/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

  • Advanced degree in data science, machine learning, computer science, or related discipline
  • 10+ years of relevant experience
  • Excellence in Python and proficiency in libraries like TensorFlow, PyTorch, scikit-learn
  • Proficiency in programming languages like Go, Rust, C++, Java, Scala
  • Demonstrated experience defining, scoping, planning, and delivering complex technical solutions
  • Proficiency with modern software engineering tools (Agile, CI/CD, etc.)
  • Active Secret US security clearance
  • US citizenship

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
Company Office Image
HQAustin, TX
Company Office Image
Vass, NC
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