Draper

Software Machine Learning Engineer MTS1

Draper
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1 day ago
Cambridge, MA, USA or Reston, VA, USAEntry Level

Base Salary

$63k - $140k/yr

Responsibilities

  • Design and develop AI and machine learning models for project requirements.
  • Analyze and improve AI model performance using machine learning and deep learning technologies.
  • Collaborate with internal departments and customers to define requirements and understand business problems.
  • Perform independent and team-based research with guidance across diverse R&D projects.
  • Review task-level requirements, solve well-defined problems, communicate challenges, and identify operational improvements.

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/AI software development skills in Python, MATLAB, R, C++, or Java.
  • Excellent analytical, mathematical, problem-solving, organizational, communication, and time-management skills.
  • Applicants selected for the position must obtain and maintain a US Government Security Clearance.

Benefits

  • Workplace flexibility and programs supporting work-life balance.
  • Employee clubs, including photography and yoga.
  • Health and finance workshops.
  • Off-site social events and discounts to local museums and cultural activities.
  • Full-time position based 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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