Northern Virginia - Senior Machine Learning Engineer (Active TS/SCI)

Striveworks; United States; Hybrid; USD 185,000 - 230,000; Full time

Benefits offered by this job

Medical/dental/vision insurance

Voluntary life, long-term disability,

HSA and FSA

401(k)

Unlimited PTO

Paid parental leave

Job summary

Striveworks in the United States is seeking a Senior Machine Learning Engineer to lead data-driven projects and build robust ML solutions for real-world deployments.

You will work with customers, data scientists, software engineers, and DevOps to design requirements, orchestrate data pipelines, and develop ML models for diverse data types. The role involves direct client contact and mission-critical field work.

Qualifications

• 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

Responsibilities

• Define requirements and orchestrate complex data engineering pipelines for customer projects.
• Develop machine learning models and analytics across image, video, text, geospatial, time series, and structured data.
• Contribute to Chariot, Striveworks' AIOps platform, and support mission-critical deployments.
• Engage directly with customers, data scientists, software engineers, and DevOps to deliver robust solutions.

Skills

Python

ML libraries

Data-centric systems

Systems programming basics

TS/SCI clearance

Education

BS in Computer Science or related

Advanced degree in data science/ML (nice to have)

Tools

TensorFlow

PyTorch

scikit-learn

Docker

Job description

“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.

What we’re looking for

• 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.

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

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 [e-mail].

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.