Software/Machine Learning Engineer - R123

Expedition Technology•Herndon, VA
•Onsite

About The Position

Expedition Technology (EXP) is seeking a Software Engineer who thrives on backend development and has a passion for learning new things. We’re looking for an engineer who wants to work with and support the latest in computer vision related application development ensuring that security, performance, maintainability, scalability, usability and reliability are considered. We hire people who excel at what they do and empower them to innovate with flexibility and autonomy. As a member of our team, you will: work with an extremely talented, motivated, supportive and welcoming team in an Agile ecosystem to develop new capabilities using the latest open-source frameworks. develop features, automated workflows and bug fixes for the system using Python 3, Docker, Kubernetes and AWS services. collaborate with a team to develop deep learning architectures and pipelines for novel applications. contribute to SDLC and coding best practices. develop and design RESTful APIs and streaming services. identify and resolve performance bottlenecks. Expedition Technology (EXP) designs, develops, and delivers innovative solutions with national impact for the defense and intelligence communities. We use machine learning, artificial intelligence, and other advanced algorithms, platforms, and technologies to solve our customers' most complex, demanding and urgent C4ISR challenges. Our culture promotes individual growth and opportunity, prioritizes a collaborative team spirit, and invites the intellectually curious to solve challenging problems creatively. Headquartered in Northern Virginia's high-tech corridor, EXP is a rapidly growing, privately held company that pushes the boundaries of what is possible every day.

Requirements

  • United States Citizenship : Due to clearance and contractual requirements, all candidates must be able to obtain and maintain a US Government issued security clearance
  • Active Top Secret or higher security clearance (TS/SCI preferred)
  • BA/BS or higher in Computer Science, Computer Engineering or closely related field
  • At least 3 years + experience with backend development, ideally in AWS Cloud environments
  • Fundamental understanding of cloud computing concepts (serverless, scalability, microservices, high availability, and durability)
  • Some experience with integrating Kubernetes, Docker or other containerized ecosystems
  • Familiarity with object-oriented design and languages - emphasis on Python and Javascript
  • Some experience or interest in designing and implementing machine learning pipelines to deploy machine learning models in a containerized environment
  • Comfortable working with Linux (Ubuntu) based operating systems (command line operations, scripting)
  • Configuration Management (CM) experience using Git and familiarity with branching strategies
  • Enjoy learning new technologies and creating compelling software
  • Work with minimum supervision as part of a collaborative, agile team
  • Clearance Required: Top Secret/SCI

Responsibilities

  • work with an extremely talented, motivated, supportive and welcoming team in an Agile ecosystem to develop new capabilities using the latest open-source frameworks.
  • develop features, automated workflows and bug fixes for the system using Python 3, Docker, Kubernetes and AWS services.
  • collaborate with a team to develop deep learning architectures and pipelines for novel applications.
  • contribute to SDLC and coding best practices.
  • develop and design RESTful APIs and streaming services.
  • identify and resolve performance bottlenecks.

Benefits

  • Company-paid medical, dental, and vision insurance
  • Generous Time Off : Enjoy 11 paid holidays, up to 34 days of PTO
  • Robust 401(k) Plan : Benefit from up to a 12% company contribution, including a 3% safe harbor, 6% match, and up to 3% additional as a form of profit sharing.
  • Student Loan Repayment : Take advantage of our unique option to reallocate a portion of your 401(k) match funds to repay student loans, helping you achieve financial freedom faster.
  • Paid Parental Leave : Six weeks of paid leave for the primary caregiver and 2 weeks of paid leave for the secondary caregiver for you to bond with your new family member.
  • Tuition Reimbursement : Pursue further education with up to $5,250/year available to support your continuous learning and growth.
  • Referral Bonus Program : Earn rewards for bringing talented individuals into our team.
  • Exclusive Entertainment Perks : Enjoy free tickets to sporting events, theater, concerts, and more, adding fun and excitement to your life.
  • Onsite Amenities : Stay fit and healthy with our free, onsite fitness center, active workstations featuring treadmill and bike desks, and enjoy our onsite cafeteria with reduced-cost options.
  • Inspiring Work Culture : Thrive in a collaborative, creative, and supportive culture where you are encouraged to push boundaries, take risks, and enjoy the rewards.
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