Machine Learning Engineer

Digital Force Technologies (DFT)

Machine Learning Engineer

What We Do:

Digital Force Technologies (DFT) is a defense technology provider with a 20-year history of developing and fielding advanced sensor systems, force protection solutions, and tactical surveillance products. DFT’s extensive history of innovation, in-house expertise, and robust network of technology partners allows DFT to rapidly addresses critical Department of Defense (DoD) and Federal Agency requirements. DFT’s engineering team is a diverse and skilled group, determined to develop advanced technical solutions. DFT offers a unique chance to develop and work with modern technologies while delivering impact and seeing products grow from concept to reality. DFT is a results driven culture focused on innovation, creativity, and growth. If you have a passion for solving complex problems, making an immediate impact on a dynamic, and fast moving, product development team, we’d love to hear from you!

What We Need:

DFT is looking for a Machine Learning Engineer to join the DFT team to support the company for its product development efforts. The ideal candidate will be energized by a fast-paced work environment, excited by integrating into complex systems, and motivated by having an immediate impact in a challenging environment.

What You’ll Do:

We are specifically looking for people with a background in science and 5-8+ years of experience in taking ML techniques described in literature or in open source and applying those techniques to build custom ML solutions.

• Work collaboratively to refine, expand and develop algorithms on real world data.
• Building datasets for training ML algorithms.
• Support integration of industry leading sensors, algorithms, and capabilities.
• Performing data analysis in a Linux environment.
• Training ML algorithms using TensorFlow or PyTorch on real-world data.
• Act as a technical SME for product data analysis and development.
• Optimizing ML models and algorithms for real-time performance on embedded platforms.
• Work toward improvement of overall system capabilities and version control library.

Required Skills/Qualifications:

• Bachelor's Degree or equivalent work experience.
• 5-8+ years’ experience in ML Engineering role.
• Strong Python experience.
• Developing custom signal / image processing schemes to process sensor data.
• Familiarity with developing and navigating in Linux based environments.
• Comfortable with Agile software methodology and development tools specifically Git and Jira.
• Must be able to obtain and hold a U.S. security clearance.

Preferred Qualifications:

• Bachelor’s degree in STEM discipline (Science, Technical, Engineering, Mathematics)
• Experience with acoustic data processing highly desirable

What We Offer:

DFT offers a comprehensive benefit package including medical, dental, vision, 401K w/ company match, life insurance, short term disability, 3 weeks PTO, 13 company holidays, and much more. In addition, DFT provides a company culture that encourages:

• Collaboration
• Innovation
• Engagement
• Motivation

Salary Range – $140,000- $170,000

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.

If you are looking for a dynamic place to work where your contribution makes a difference in supporting the mission, DFT is the right company for you.

EEOC Statement - DFT is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.