Lead Algorithm Solutions Engineer

STR•Arlington, VA
•$180,000 - $220,000•Onsite

About The Position

In the Lead Algorithm Solutions Engineer role, you will leverage your skills in software development and machine learning to develop, implement, and evaluate AI/ML algorithms to make sense of information present in large and/or challenging datasets deployed to the cloud and at the edge. You will support fast-moving research groups solving the hardest problems, creating and preventing technological surprise while simultaneously supporting the immediate integration of your best solutions into real-world applications such as in-the-wild video-based object reidentification, foundation models for overhead imagery, and automatic target recognition in complex imagery. This position is based in Arlington, VA, Woburn, MA, or Dayton, OH.

Requirements

  • Motivated collaborator who takes pride in the craftsmanship of their solutions and demonstrates strong ownership throughout the lifecycle of development
  • Excellent communicator and briefer, who is comfortable communicating with both technical and non-technical audiences
  • Ability to implement and evaluate novel prototype solutions, and work with a team to mature promising prototypes into operational capabilities
  • Strong proficiency in python and demonstrated ability to generate clean, high quality code both with and without coding tools
  • Familiarity with software development best practices, including version control (Git) and Agile workflow methodologies
  • BS Degree in a scientific field such as Computer Science, Mathematics, Statistics, Data Science, or Physics with 8+ years of relevant experience. Equivalent experience will be considered.
  • Ability to obtain a security clearance, for which U.S citizenship is need by the U.S government

Nice To Haves

  • Understanding of a range of machine learning methods and implementation, such as the latest in vision transformer technology, use and finetuning of foundation models under self-supervised or semi-self-supervised conditions, vision language models as applied to agentic training, or large-scale object reassociation in video or sparse re-visit imagery
  • Experienced in leading and directing research initiatives from inception to functional prototypes
  • Experience working in a large cross-functional, distributed team
  • Experience with US Government software accreditation processes
  • Active security clearance

Responsibilities

  • Develop and optimize algorithm solutions for a wide variety of challenging needs spanning computer vision, 3D modeling, data fusion of multi-modal sensor data, and in-the-wild open set recognition and identification in imagery
  • Collaborate across small multi-disciplinary teams of researchers and transition-focused engineers as well as academic partners to deliver cutting-edge impact
  • Support software solutions deployed across cloud and edge-capable devices and environments using your algorithms

Benefits

  • STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members.
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