Striveworks

Senior Machine Learning Engineer (Active Secret Clearance)

Rol remoto de Machine Learning Engineering con fit claro de ubicación del candidato.

Publicado18 jul 2026

Países elegibles1 país aceptado

Señal de senioritySenior

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

Estados Unidos

Resumen del rol

Contenido del rol extraído en secciones para revisar más rápido.

Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AI operations platform
Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
Orchestrating and automating complex data engineering and analytic pipelines
Envisioning, specifying, and, at times, designing and implementing core product functionality
Opportunities to conduct mission-critical field work

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)
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 (e.g., Go, Rust, C++, Java, Scala, etc.)
Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
Active Secret (or above) US security clearance
Due to the nature of this role, candidates must have US citizenship

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 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

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

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