Software Machine Learning Engineer SMTS

Draper Labs; Reston (VA); On-site; USD 82,000 - 220,000; Full time

Benefits offered by this job

Workplace flexibility

Employee clubs

Health workshops

Off-site social events

Museum discounts

Job summary

Draper is seeking a Machine Learning Engineer to design and implement ML/AI tools across diverse R&D projects, including data-intelligence, generative AI, and predictive maintenance. The role welcomes new PhDs with less than 1 year experience.

Responsibilities include designing AI models, improving performance, and collaborating with customers to define requirements while pursuing ongoing learning and problem-solving in a fast-paced environment.

Qualifications

• Bachelor's degree in CS, ML, statistics, math, EE, computational biology, or related field.
• Master's degree preferred.

Responsibilities

• Design and develop AI models to meet project requirements.
• Analyze and improve AI model performance.
• Apply ML and deep learning to enable visualization, learning, and response to complex situations.
• Collaborate across departments and with customers to define requirements.
• Identify learning opportunities to support program needs.
• Review requirements and solve well-defined problems with guidance.
• Possibly perform independent or team-based research with guidance.
• Seek resources for solving problems and communicate challenges clearly.
• Deliver on commitments and understand customer missions.
• Identify improvement areas and raise to leadership.

Skills

Analytical thinking

Problem-solving

Team collaboration

Time management

Communication

Learning agility

Domain knowledge in ML/AI

Education

Bachelor's degree in CS/ML/Statistics/Math/EE/Computational biology or related field

Master's degree preferred

Tools

Python

MATLAB

R

C++

JAVA

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 (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.

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

Cambridge

Massachusetts

02139-3563

Salary

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.

Benefits

• Workplace flexibility
• Employee clubs ranging from photography to yoga
• Health and finance workshops
• Off site social events
• Discounts to local museums and cultural activities

Inclusion and Equal Opportunity

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].