Senior Machine Learning Engineer

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

• 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

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.

STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.

STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.

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., STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can’t do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info., Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.