Sr Machine Learning Engineer (TS/SCI) | Hybrid - Falls Church VA

A BS degree in computer science, machine learning, or a related discipline and 6+ years of 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 libraries like 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, as well as eligibility and willingness to undergo a Counterintelligence (CI) Scope Polygraph if required

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 with anomaly detection in AI systems, models, data, and workflows -Experience building agentic systems, agentic workflows, or AI agents -Experience defining, scoping, planning, and delivering complex technical solutions -Experience leading a small team -Experience delivering technology solutions in secure government environments

You will be hybrid at customer locations in the Northern Virginia area, with up to 10% travel.

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.

“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 informs the future of Chariot, our proprietary AIOps 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.