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Remote role · senior-m

Senior Machine Learning Engineer (Active Secret Clearance)

Striveworks

SalaryUSD 185,000–230,000 / year
Before you apply

Role details

The practical picture
Base compensation

USD 185,000–230,000 / year

Work arrangement
Hybrid
Employment
Full-time

Work & location

Travel
up to 25% of the time

Experience & eligibility

Experience
A BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience
Work authorization
US citizenship

Compensation & benefits

Bonus / commission
cash bonuses
Equity
equity grants
Hiring specifics1 detail
Security clearance
Active Secret (or above)
Role signal brief

The role, at a glance

Extracted from the source posting · 95% confidence

Striveworks is hiring a Senior Machine Learning Engineer with an Active Secret US security clearance to build and sustain production AI systems for government clients. The role is hybrid out of Austin, Texas, and involves developing models for various data types while orchestrating complex data pipelines. The position offers a base salary of $185,000–$230,000 plus equity and bonuses, with travel up to 25% of the time.

Compensation
USD 185,000–230,000 / year

What you need

  • BS degree in computer science, machine learning, or a related discipline
  • 6+ years relevant experience
  • Active Secret (or above) US security clearance
  • US citizenship
  • Excellence in Python
  • Knowledge of TensorFlow, PyTorch, and/or scikit-learn

What you will own

  • Define requirements and orchestrate complex data engineering pipelines
  • Develop machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data
  • Inform the future of Chariot, the proprietary AI operations platform
  • Support mission-critical deployments in the field with direct customer contact
Core skills
PythonTensorFlowPyTorchscikit-learnMachine LearningData EngineeringAlgorithm DesignData Structures
View source evidence
  • department “Department: Machine Learning”
  • must_have “A BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience”
  • must_have “Active Secret (or above) US security clearance and US citizenship”
  • must_have “excellent in Python is essential, as is knowledge of TensorFlow, PyTorch, and/or scikit-learn”
  • salary “The anticipated base pay range for this position is $185,000–$230,000/year.”
  • equity “equity grants”
  • incentive_compensation “cash bonuses”
  • benefits “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”
  • travel_requirements “This role requires travel up to 25% of the time.”
  • security_clearance “Active Secret (or above) US security clearance and US citizenship”
  • work_authorization “US citizenship”
  • location “Job location: Austin, Texas, United States”
  • workplace_type “You will be hybrid out of our Austin, Texas, office.”
  • experience_requirements_text “A BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience”
pythontensorflowpytorchscikit-learn
Role brief

“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.