About The Position

Summer Internship in Digital Signal Processing and Machine Learning Expedition Technology (EXP) leads the way in combining machine learning with digital signal processing. Spend your summer immersing yourself in the fascinating world of digital signal deep learning alongside top-tier engineers. Join our mission to tackle the unsolved challenges in the thrilling new field of Radio Frequency Machine Learning. What will you do as a Signal Processing and Machine Learning Intern? Learn & Develop: Delve into real-time machine learning systems operating on streaming, real-world RF data. Craft novel algorithms for GPU-accelerated digital signal analysis across diverse RF domains like communications and radar. Implement: Leverage Python to execute core digital signal processing tasks – from filtering and spectral analysis to waveform generation. Work with the team to integrate your solutions to run in real systems to demonstrate their effectiveness. Utilize and deploy modern DevOps and MLOps tools. Collaborate: Engage in data processing pipelines, training ML systems, analyzing outcomes, working alongside a team of developers, and tackling real-world issues alongside our esteemed teams.

Requirements

  • United States citizenship is required for security clearance purposes
  • Currently enrolled student pursuing a college degree in computer science, electrical engineering, math, physics, or other STEM-related field
  • Entering final year of an undergraduate or graduate program with an anticipated graduation date of December 2026 or May 2027
  • Proficiency in modern programming languages (Python preferred)
  • Familiarity with command line and version control (Git) experience
  • Interest in signal processing (courses, clubs, projects, etc.)
  • Interest in machine learning (RF, audio, computer-vision, LLMs)
  • Interest in working in defense and intelligence post-graduation
  • Must be willing to undergo background investigation for a US-government issued security clearance

Responsibilities

  • Delve into real-time machine learning systems operating on streaming, real-world RF data.
  • Craft novel algorithms for GPU-accelerated digital signal analysis across diverse RF domains like communications and radar.
  • Leverage Python to execute core digital signal processing tasks – from filtering and spectral analysis to waveform generation.
  • Work with the team to integrate your solutions to run in real systems to demonstrate their effectiveness.
  • Utilize and deploy modern DevOps and MLOps tools.
  • Engage in data processing pipelines, training ML systems, analyzing outcomes, working alongside a team of developers, and tackling real-world issues alongside our esteemed teams.

Benefits

  • Company-paid medical, dental, and vision insurance
  • Generous Time Off: Enjoy 12 paid holidays, up to 33 days of PTO, and generous sick leave
  • 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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