The Charles Stark Draper Laboratory

Software Machine Learning Engineer MTS1

Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science, machine learning, statistics, mathematics, electrical engineering, computational biology, physics, or related field.
  • 0-3 years of experience in machine learning, artificial intelligence, or related fields.
  • Strong skills in software development for ML/AI using Python, MATLAB, R, C++, or JAVA.
  • Excellent analytical, mathematical, and problem-solving abilities.
  • Strong organizational skills with a keen attention to detail.

Responsibilities

  • Design and develop AI models tailored to project requirements.
  • Analyze and enhance AI model performance.
  • Implement ML and deep learning technologies to enable computers to handle complex situations.
  • Collaborate with departments and customers to clarify requirements and understand business challenges.
  • Proactively seek opportunities to acquire new technical skills.
  • Conduct research and problem-solving independently or as part of a team with supervision.
  • Identify improvement opportunities within operations at the individual contributor level.

Benefits

  • Work-life balance programs including workplace flexibility.
  • Opportunities for professional development through workshops and learning.
  • Employee clubs for various interests including photography and yoga.
  • Social events outside of work for team building.
  • Discounts to local museums and cultural activities.
Full Job Description
Job Description Summary:
The Machine Learning Engineer MTS1 designs and implements machine learning (ML), artificial intelligence (AI), and data science tools to projects spanning various domains. Works on exciting, diverse, cutting-edge R&D projects in a wide range of fields including data-intelligence, generative AI, predictive maintenance, bioinformatics, and more.

Job Description:

Duties/Responsibilities
• Designs and develops AI models to meet project requirements.
• Analyzes and improves AI model performance.
• Applies ML and deep learning technologies to give computers the capability to visualize, learn, and respond to complex situations.
• Collaborates across departments and with customers to define requirements and understand business problems.
• Seeks out opportunities to learn new technical skills.
• Reviews task-level requirements and assumptions and works to solve well-defined problems with guidance.
• May perform independent and team based research with guidance.
• Asks for help when needed and seeks out resources for solving problems. Delivers on commitments and clearly communicates any challenges.
• Desire to learn about customer missions.
• Works to improve operations at the task / individual contributor level. Identifies areas for improvement and brings them to the attention of task or group leadership.
• Performs other duties as assigned.

Skills/Abilities
• Excellent analytical, mathematical, and problem-solving skills.
• Strong ML/AI software development skills (Python, MATLAB, R, C++, JAVA) including software best practices like version control (git).
• Team player.
• Excellent organizational skills and attention to detail.
• Excellent time management skills with the proven ability to meet deadlines and prioritize tasks.
• Excellent verbal and written communication skills.

Education
Bachelor's degree in computer science, machine learning, statistics, mathematics, electrical engineering, computational biology, physics, or related field is required.

Experience
0-3 years machine learning or artificial intelligence or related experience is required.

Additional Job Description:

Applicants selected for this position will be required to obtain and maintain a US Government Security Clearance

Connect With Draper for Future Opportunities! If you don't find the right posting in our Career Opportunities, you may submit your resume for future consideration.

Job Location - City:
Cambridge

Job Location - State:
Massachusetts

Job Location - Postal Code:


The US base salary range for this full-time position is
$62,500.00 - $140,000.00
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement's approved rates by location and role. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits.

Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&D innovation company appeals to you, apply now www.draper.com/careers.

About The Charles Stark Draper Laboratory

Draper Laboratory is an American non-profit research and development organization, headquartered in Cambridge, Massachusetts; its official name is The Charles Stark Draper Laboratory, Inc. The laboratory specializes in the design, development, and deployment of advanced technology solutions to problems in national security, space exploration, health care and energy. The laboratory was founded in 1932 by Charles Stark Draper at the Massachusetts Institute of Technology to develop aeronautical instrumentation, and came to be called the MIT Instrumentation Laboratory. During this period the laboratory is best known for developing the Apollo Guidance Computer, the first silicon integrated circuit based computer. It was renamed for its founder in 1970, and separated from MIT in 1973 to become an independent, non-profit organization. The expertise of the laboratory staff includes the areas of guidance, navigation, and control technologies and systems; fault-tolerant computing; advanced algorithms and software systems; modeling and simulation; and microelectromechanical systems and multichip module technology.
Learn more about The Charles Stark Draper Laboratory

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