RemoteWLBRemote only
Back to all jobs
Striveworks logo
Remote role · senior-m

Senior Machine Learning Engineer (Active TS/SCI 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

Remote policy
Hybrid/on site at customer locations
Office locations
Fort Belvoir, Virginia, Fort Belvoir, Fairfax County, Virginia, US
Office attendance
Hybrid/on site at customer locations
Working hours
Unlimited PTO
Travel
Travel up to 15% of the time

Experience & eligibility

Education
BS degree in computer science, machine learning, or a related discipline · Advanced degree in data science, machine learning, computer science, or a related discipline
Experience
A BS degree in computer science, machine learning, or a related discipline and 6+ years of relevant experience
Work authorization
US citizenship and Active TS/SCI security clearance

Compensation & benefits

Benefits
Medical/dental/vision insurance; Voluntary life, long-term disability, accident, and hospital indemnity insurance; HSA and FSA plans; 401(k) plan; Unlimited PTO; Paid parental leave
Bonus / commission
cash bonuses
Equity
equity grants
Hiring specifics1 detail
Occupation
Machine Learning Engineer
Role signal brief

The role, at a glance

Extracted from the source posting · 98% confidence

Striveworks is seeking a Senior Machine Learning Engineer to develop AI systems and orchestrate data pipelines for government clients. The role requires an active TS/SCI clearance, a US passport, and 6+ years of experience in ML and software engineering. The position is hybrid/on-site at Fort Belvoir, VA, with a base pay range of $185,000–$230,000.

Remote scope
Fort Belvoir, Fairfax County, VA
Compensation
USD 185,000–230,000 / year

What you need

  • BS degree in computer science, machine learning, or related discipline
  • 6+ years of relevant experience
  • Experience integrating LLMs and/or building AI agents, agentic workflows, or agentic systems
  • Proficiency in Python, TensorFlow, PyTorch, and/or scikit-learn
  • Proficiency in software engineering fundamentals (algorithms, data structures, design patterns) and systems programming
  • Proficiency with modern software engineering tools and processes

What you will own

  • Work directly with customers, data scientists, software engineers, and DevOps engineers
  • 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
  • Contribute to the development of Chariot, the proprietary AI operations platform
  • Perform mission-critical deployments with direct customer contact
Core skills
Machine LearningPythonLLMsTensorFlowPyTorchData EngineeringAgentic SystemsSoftware Engineering

Remote policyHybrid/on site at customer locations

View source evidence
  • salary “$185,000–$230,000/year”
  • job_locations “Fort Belvoir, Virginia, United States”
  • workplace_type “You will be hybrid/on site at customer locations at Fort Belvoir in Fairfax County, VA.”
  • company_remote_policy “You will be hybrid/on site at customer locations at Fort Belvoir in Fairfax County, VA.”
  • department “Department: Machine Learning”
  • employment_types “Senior Machine Learning Engineer (Active TS/SCI Clearance)”
  • education_requirements “A BS degree in computer science, machine learning, or a related discipline”
  • experience_months “6+ years of relevant experience”
  • must_have “Experience integrating LLMs and/or building AI agents, agentic workflows, or agentic systems”
  • nice_to_have “The following isn’t required, but we’d love to see it:”
  • incentive_compensation “cash bonuses”
  • equity “equity grants”
  • benefits “Benefits include:”
  • work_hours “Unlimited PTO”
  • attendance_requirement “You will be hybrid/on site at customer locations at Fort Belvoir in Fairfax County, VA.”
  • work_authorization “Active TS/SCI security clearance and US citizenship”
  • travel_requirements “travel up to 15% of the time”
  • occupational_category “Senior Machine Learning Engineer”
machine learningpythonllmstensorflow
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. The work 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 of relevant experience
  • Experience integrating LLMs and/or building AI agents, agentic workflows, or agentic 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 TS/SCI security clearance and US citizenship

The following isn’t required, but we’d love to see it:

  • An 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 defining, scoping, planning, and delivering complex, production-level technical solutions
  • Experience leading, managing, or mentoring small, cross-functional engineering teams 
  • Experience delivering novel technology solutions in secure government environments

You will be hybrid/on site at customer locations at Fort Belvoir in Fairfax County, VA. You will be expected to travel up to 15% 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.