Machine Learning Engineer (Active Ts/Sci Clearance)

“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 buildSince 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 Machine Learning Engineer, you will be a core contributor to both customer-driven projects and the enduring products of the company. Working alongside data scientists, software engineers, and DevOps engineers, you’ll develop machine learning models, custom analytics, and mission-critical solutions applied to image, video, text, geospatial, time series, structured, and other data. You will orchestrate complex data engineering pipelines in agentic and traditional architectures. Your work will inform the future of Chariot, our proprietary AI operations platform, and your impact will be felt on mission-critical deployments and through direct customer contact.What it’s like hereWe 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 forA BS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experienceProficiency in Python and libraries like PyTorch, TensorFlow, and/or scikit-learnProficiency in software engineering fundamentals and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics) Exposure to modern software engineering tools and processesActive TS/SCI security clearance and US citizenshipThe following isn’t required, but we’d love to see it:An advanced degree in data science, machine learning, computer science, or a related disciplineKnowledge of relevant architectures and design patterns for client-server systemsExperience implementing and deploying software into containerized or cloud environments via Docker, K8s, or similarExperience applying machine learning to unstructured data (imagery, video, other) and/or building agentic systemsYou 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.CompensationThe anticipated base pay range for this position is $140,000-$190,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.Benefits include:Medical/dental/vision insuranceVoluntary life, long-term disability, accident, and hospital indemnity insuranceHSA and FSA (including dependent care FSA) plans401(k) planUnlimited PTOPaid parental leaveReady 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.

• A BS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experience
• Proficiency in Python and libraries like PyTorch, TensorFlow, and/or scikit-learn
• Proficiency in software engineering fundamentals and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
• Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
• Exposure to 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 via Docker, K8s, or similar
• Experience applying machine learning to unstructured data (imagery, video, other) and/or building agentic systems

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.

The anticipated base pay range for this position is $140,000-$190,000/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.

“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 Machine Learning Engineer, you will be a core contributor to both customer-driven projects and the enduring products of the company. Working alongside data scientists, software engineers, and DevOps engineers, you’ll develop machine learning models, custom analytics, and mission-critical solutions applied to image, video, text, geospatial, time series, structured, and other data. You will orchestrate complex data engineering pipelines in agentic and traditional architectures. Your work will inform the future of Chariot, our proprietary AI operations platform, and your impact will be felt on mission-critical deployments and through direct customer contact.

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.