Draper

Software Mach. Learn Engr (GNSS, Software Defined Radio)

Draper
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3 days ago
Cambridge, MA, USAEntry Level

Base Salary

$63k - $140k/yr

Responsibilities

  • Design and develop AI and machine learning models to meet project requirements.
  • Analyze and improve AI model performance using machine learning and deep learning technologies.
  • Collaborate across departments and with customers to define requirements and understand business problems.
  • Review task-level requirements and assumptions and solve well-defined problems with guidance.
  • Perform independent and team-based research with guidance.
  • Identify operational improvements and communicate challenges and opportunities to task or group leadership.

Requirements

  • Bachelor's degree in computer science, machine learning, statistics, mathematics, electrical engineering, computational biology, physics, or a related field.
  • 0–3 years of machine learning, artificial intelligence, or related experience.
  • Strong ML and AI software development skills in Python, MATLAB, R, C++, or Java.
  • Knowledge of software development best practices, including Git-based version control.
  • Excellent analytical, mathematical, problem-solving, organizational, communication, and time-management skills.
  • Exposure to GNSS and software-defined radio is preferred.

Benefits

  • Workplace flexibility, employee clubs, health and finance workshops, off-site social events, and discounts to local museums and cultural activities.
  • Full-time position located in Cambridge, Massachusetts.

Tech Stack

Categories

Draper

About Draper

1,001-5,000 employees

Draper is an independent, nonprofit engineering R&D organization that designs and delivers complex systems for government, defense, space, and biomedical customers. It works as a prime contractor and subcontractor on programs spanning guidance and navigation (PNT), autonomous systems, human systems, and special programs, with headquarters in Cambridge, Massachusetts. Its business model centers on sponsored research and engineering services for U.S. government agencies, industry partners, and academia.

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