Senior Machine Learning Engineer
About the Team:
STR’s Intelligence Division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe.
The Role
As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into production systems that solve critical national security problems.
Working as part of a multidisciplinary team of researchers, engineers, and domain experts, you will bridge the gap between prototype and product by hardening solutions, building scalable backend services, and creating polished user interfaces with intuitive workflows. You will build software with AI/ML at its core, ranging from classical statistical methods to frontier language models, deployed across a diverse set of platforms including cloud, on‑prem, desktop, mobile, and edge devices. In addition, you will collaborate closely with customers to understand mission needs, rapidly prototype capabilities, and iterate based on user feedback.
What You'll Do:
Partner directly with customers, stakeholders, and end users to translate mission needs into technical requirements and iterate based on real-world feedback
Drive technical excellence by providing leadership and championing software engineering best practices across multidisciplinary teams
Architect loosely coupled systems prioritizing interpretability, maintainability, and feature growth
Bridge the gap between research and production by implementing novel capabilities into existing live systems
Engineer robust backend services, scalable APIs, and optimized database models
Develop polished, intuitive, and responsive user interfaces in close collaboration with UI/UX designers
Orchestrate the deployment and maintenance of applications across cloud, desktop, mobile, and edge environments, including air-gapped systems
Build and optimize CI pipelines and manage execution runners to maintain code quality and reproducible builds
Contribute to the full software development lifecycle, including strategic project planning, rigorous code reviews, and comprehensive testing
Who you are:
Active Secret security clearance, for which U.S citizenship is needed by the U.S government
Enjoys working hard and seeing mission impact
BS degree in Computer Science, Software Engineering, Data Science, Statistics, Mathematics, Physics, or a related technical field
6+ years of professional software engineering and/or machine learning research experience (or equivalent experience depending on degree)
Soft skills
Strong written and verbal communication skills, with the ability to explain complex technical concepts to both technical and non‑technical audiences
Demonstrated ability to collaborate effectively within cross‑functional teams, give and receive constructive feedback, and mentor others
Comfortable building from partial or ambiguous requirements and iterating quickly based on user feedback and changing mission needs
Technical Skills
Experience developing, training, and deploying machine/statistical learning models using modern Python‑based frameworks
Experience running models on NVIDIA GPUs
Experience containerizing and deploying software using Docker, and on cloud platform
Experience designing and implementing REST APIs
Experience designing data models and working with relational databases
Fluency in Python and its ecosystem
Proficiency in at least one systems‑level language with manual or low‑level memory management
Proficiency in HTML, CSS, and JavaScript (experience with a modern frontend framework such as Svelte or React is a plus)
Solid understanding of software engineering principles, including testing, scalability, observability, maintainability, and performance optimization
Pay Information
Full-Time Salary Range: $155,000 - $195,000
The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.