ML Engineer – AI & Data Science for R&D Projects

Draper; Boston (MA); On-site; USD 63,000 - 140,000; Full time

Benefits offered by this job

Work-life balance

Employee clubs (photography, yoga)

Health and finance workshops

Off-site social events

Discounts to local museums and culture

Job summary

Draper, located in Cambridge, MA, is hiring a Machine Learning Engineer I to design and implement ML/AI tools across diverse R&D projects. You will work on data-intelligence, generative AI, predictive maintenance, bioinformatics, GNSS, and more, applying ML and deep learning methods with guidance.

The role demands a Bachelor's in a relevant field and 0–3 years of ML/AI experience, with strong analytical and communication skills and a team-oriented approach. A security clearance may be required.

Qualifications

• Bachelor's degree required in a relevant field such as CS, ML, statistics or engineering.
• 0-3 years ML/AI experience required.

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 learn and respond to complex situations.
• Collaborates with other departments and customers to define requirements and understand business problems.
• Seeks opportunities to learn new technical skills.
• Reviews tasks and solves well-defined problems with guidance.
• May perform independent or team-based research with guidance.
• Communicates challenges and delivers on commitments.

Skills

ML/AI software development

Python

MATLAB

R

C++

JAVA

Git/version control

Analytical skills

Communication

Team player

Education

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

Job description

Draper, located in Cambridge, MA, is hiring a Machine Learning Engineer I to design and implement ML/AI tools across diverse R&D projects. You will work on data-intelligence, generative AI, predictive maintenance, bioinformatics, GNSS, and more, applying ML and deep learning methods with guidance.

The role demands a Bachelor's in a relevant field and 0–3 years of ML/AI experience, with strong analytical and communication skills and a team-oriented approach. A security clearance may be required.