Software Machine Learning Engineer MTS1

The Charles Stark Draper Laboratory, Inc.; Cambridge (MA); On-site; USD 63,000 - 140,000; Full time

Benefits offered by this job

Workplace flexibility

Employee clubs

Health workshops

Finance workshops

Off-site social events

Discounts to local museums

Job summary

The Charles Stark Draper Laboratory, Inc. in Cambridge, MA is seeking a Machine Learning Engineer MTS1 to design and implement ML/AI tools for diverse R&D projects spanning data intelligence, generative AI, predictive maintenance, and bioinformatics.

Responsibilities include modeling, performance optimization, and cross‑disciplinary collaboration. A bachelor’s in a relevant field is required, with 0–3 years of ML/AI experience and eligibility for a US government security clearance.

Qualifications

• Bachelor's degree in a related field is required.
• 0–3 years of ML/AI or related experience is required.
• Applicants selected will be required to obtain and maintain US Government Security Clearance.

Responsibilities

• Designs and develops AI models to meet project requirements.
• Analyzes and improves AI model performance.
• Applies ML and deep learning to enable visual learning and automated responses.
• Collaborates with customers to define requirements and business problems.
• Seeks opportunities to learn new technical skills and communicates challenges clearly.

Skills

Python

MATLAB

R

C++

Java

Git

Education

Bachelor's degree in computer science / ML / statistics / math / EE / computational biology / physics or related field

Tools

Git

Job description

Overview: Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com.

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.

Job Location

City: Cambridge

State: Massachusetts

Postal Code: 02139-3563

Contract Type

Full-time

Salary

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.

Benefits

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.

EEO Statement

Draper is committed to creating an inclusive environment. We understand the value of inclusivity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, national origin, veteran status, or genetic information. Draper is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact [e-mail].

Company Culture

We are in the business of redefining what is possible. Join our inclusive, multidisciplinary team to engineer the groundbreaking solutions of tomorrow.