Striveworks
Machine Learning Engineer (Active Secret Clearance)
Rol remoto de Machine Learning Engineering con fit claro de ubicación del candidato.
Publicado4 jul 2026
Países elegibles1 país aceptado
Señal de seniorityMiddle
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
Machine Learning Engineer (Active Secret Clearance)
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Your day-to-day will include:
- Developing machine learning pipelines 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
- Conducting mission-critical fieldwork in support of customers and other stakeholders
Here’s what we’re looking for:
- BS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experience
- Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
- 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 in Python and exposure to libraries like TensorFlow, PyTorch, and/or scikit-learn
- Exposure to 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
The Wish List
- An advanced degree (e.g., MS, MEng, PhD) in computer science, machine learning, data science, or a related discipline
- Excellence in Python and deep knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
- 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], cloud architectures)
- Experience with machine learning applied to imagery and/or video data
- Experience building agentic systems, agentic workflows, or AI agents
- Experience defining, scoping, planning, and delivering complex technical solutions
- Experience delivering technology solutions in secure government environments
The Benefits
- 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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