Senior Machine Learning Engineer, Agentic Systems (Active Secret Clearance)
$185,000 - $230,000 per year
ApplySenior Machine Learning Engineer, Agentic Systems (Active Secret Clearance)
Posted yesterday
SENIORITY
Lead
SALARY
$185,000 - $230,000 per year
About the role
- A BS degree in computer science, machine learning, or a related discipline and 6+ years relevant experience
- Demonstrated experience delivering data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
- Experience designing, building, evaluating, and optimizing LLM-powered agents and agentic workflows
- Experience integrating AI systems with external tools, APIs, MCP servers, and enterprise data sources
- Experience developing evaluation approaches and frameworks to measure agent performance, reliability, and safety
- Familiarity with retrieval-augmented generation (RAG), tool use, planning, and multi-agent architectures
- 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
- Strong software engineering fundamentals-including algorithms, data structures, and design patterns-as well as proficiency in at least one systems programming language (e.g., Go, Rust, C++, Java, Scala)
- Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)Active Secret (or above) US 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 (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
- Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes [K8s], infrastructure as code, major cloud architectures)
- Experience with a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, telemetry signals)
- Experience defining, scoping, planning, and delivering complex technical solutions
- Experience leading a small team
- Experience delivering technology solutions in secure government environments
- Medical/dental/vision insurance
- Voluntary life, long-term disability, accident, and hospital indemnity insuranceHSA and FSA (including dependent care FSA) plans 401(k) plan
- Unlimited PTOPaid parental leave
- Ready to build systems that work for a mission that matters? Let's talk.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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