Senior Machine Learning Engineer

Etegent Technologies, LTDBeavercreek, OH
11dOnsite

About The Position

Etegent is seeking Machine Learning Engineers (MLEs) to work with our Intelligence, Surveillance, and Reconnaissance (ISR) group based in the Beavercreek office. MLEs will work in a team environment with Etegent teammates, customers, and other researchers from leading academic institutions, government organizations and commercial entities. We deliver solutions in the domains of AI/ML, data science, software, and visualization to address geospatial intelligence (GEOINT) challenges for Department of Defense and Intelligence Community (DoD/IC) customers. We develop data science tools to analyze large, diverse datasets from a variety of sensor types (SAR, ISAR, GMTI, HIS, EO, IR). We design and implement algorithms to perform pattern recognition, such as statistical and deep learning techniques, to identify meaningful trends and patterns. We wrap these algorithms in accessible, scalable software to be deployed on customer systems, often requiring containerized software and custom user interfaces for visualization. This position is based in Beavercreek, OH with the expectation of being in Etegent’s office or at a customer facility 5 days a week.

Requirements

  • Bachelor's Degree in the fields of Computer Science, Engineering, Physics, Applied Math, or Statistics.
  • 4-5 years of previous signal processing, computer vision, and/or machine learning experience.
  • Previous experience leading project teams for government contracts.
  • Experience maintaining successful relationships and developing business with R&D customers.
  • Experience developing software tools capable of deriving value from large, diverse datasets.
  • Background in data science, statistics, and/or computer vision.
  • Experience with Python, GIT, and Linux.
  • Ability to acquire and maintain up to a TS security clearance

Nice To Haves

  • Active TS security clearance
  • Experience with remote sensing data products such as SAR, ISAR, EO, GMTI, HSI, and OPIR.
  • Experience creating python-based user interfaces for data visualization.
  • Familiarity with DoD/IC customers.
  • History of technical presentations and publications in relevant fields.

Responsibilities

  • Lead project teams through the full R&D lifecycle. You will be responsible for aligning technical execution with schedules, budgets, and client expectations.
  • Maintain a 50/50 balance between leadership and technical execution. We need a leader who can both be "in the trenches" designing algorithms and can handle project oversight and mentorship.
  • Serve as a primary technical interface for our customers. This involves translating complex algorithmic concepts into clear, value-driven updates and navigating stakeholder feedback with transparency.
  • Architect and oversee the implementation of signature exploitation algorithms. You’ll determine the best path towards addressing the customer need – whether by traditional feature extraction or modern deep learning approaches.
  • Support business development and growth. This includes partnering with leadership on the bidding process, drafting white papers, and presenting technical solutions to prospective clients.
  • Elevate the team through active mentorship. You will provide high-level project oversight and lead constructive research reviews to improve the group's collective output.
  • Own the documentation and reporting process. You’ll ensure that project updates, proposals, and final reports present a cohesive, professional narrative.
  • Build for scale. You’ll drive the development of data science tools to handle the ingestion and analysis of diverse, large-scale datasets.
  • Standardize quality and rigor. You will reinforce best practices for data analytics and performance evaluation to ensure our results are repeatable across different applications.
  • Promote a culture of humility. Encourage an "ego-less" engineering environment where diverse perspectives are valued and feedback is focused on the best technical outcome.

Benefits

  • Flexibility: Not a morning person? No problem. We only ask that you begin your day by 10:00am. Also, you will enjoy a flexible schedule and some ability to telecommute.
  • Casual Dress: We know that incredible things can be achieved by people in casual clothing. We allow employees to dress in the way that is the most comfortable to them.
  • Professional Development: Continuous learning on us. Reimbursement provided for up to 100% of qualifying education expenses.
  • Food: Keep your energy levels up with our well-supplied snack and beverage kitchen and enjoy a weekly lunch with your talented colleagues on Free Lunch Thursdays.
  • Fun employee events: Enjoy frequent employee get-togethers outside of work!
  • Competitive compensation based on qualifications and experience of candidate.
  • medical/dental/vision plan
  • a generous annual company 401(k) contribution
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