Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Positions are available in both Woburn, MA and Arlington, VA, with applicants expected to primarily work onsite or in the office.
This information is not specified in the job description.
Requirements include 5+ years of experience in high-level programming languages like Python, experience with large datasets for machine learning, navigating complex code bases, containerization, and CI/CD workflows, plus a BS, MS, or PhD in a related field.
The team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data science, who collaborate on challenging national security problems using deep technical knowledge and creativity.
A strong candidate has U.S. citizenship for Top Secret clearance eligibility, is a motivated collaborator for a large distributed team, and brings 5+ years of Python experience with machine learning on large datasets, plus expertise in complex codebases, containerization, and CI/CD.
AI solutions for national security challenges
STR develops AI-driven platforms to tackle national security challenges, primarily for government agencies. Their main product, the STR infokit platform, combines data science, AI algorithms, and DevOps practices to deliver real-time insights and decision support. This platform is adaptable for various uses, including command and control systems and object recognition. STR differentiates itself by focusing on creating resilient systems that integrate artificial and human intelligence, providing clients with a significant decision-making advantage. The company's goal is to enhance safety and security through advanced technology while fostering a culture of diversity and creativity among its employees.