Software Machine Learning Engineer SMTS

Draper; Cambridge (MA); On-site; USD 82,000 - 220,000; Full time

Benefits offered by this job

Work-life balance programs

Employee clubs

Off-site social events

Discounts to local museums and culture

Health and finance workshops

Job summary

Draper, in Cambridge, MA, is seeking a Machine Learning Engineer (SMTS) to design and implement ML/AI tools for diverse R&D projects. The role requires collaboration across departments and with customers to solve complex problems, supporting mission-critical applications.

Qualifications include a BS in a relevant field with 5–7 years of ML/AI experience; an MS is preferred. Security clearance is required for selected candidates, and the base US salary is highly competitive.

Qualifications

• Bachelor’s degree in computer science, machine learning, statistics, mathematics, electrical engineering, computational biology, physics, or related field is required.
• Master’s degree preferred.

Responsibilities

• Designs and develops AI models to meet project requirements.
• Analyzes and improves AI model performance.
• Applies ML and deep learning to enable computers to visualize, learn, and respond to complex situations.

Skills

ML/AI development

Analytical skills

Team player

Communication

Time management

Detail-oriented

Education

Bachelor's degree in CS/ML/related

Master's degree preferred

Tools

Python

MATLAB

R

C++

Java

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 (SMTS) 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. For Experience/Education, new PhDs with less than 1 year experience will also be considered.

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.
• Seeks assistance and resources for solving problems when needed.
• Delivers on commitments and clearly communicates any challenges.
• Actively learns 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.
• AI/ML knowledge in their domain of expertise.
• Able to pick up new technical skills to support program needs.

Education

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

Experience

5-7 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

Job Location - State

Massachusetts

Job Location - Postal Code

02139-3563

The US base salary range for this full-time position is

$82,300.00 - $220,000.00

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.

• 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.

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].