Hybrid ML Software Engineer: GNSS & SDR R&D

Inuplands; Cambridge (MA); Hybrid; USD 63,000 - 140,000; Full time

Job summary

Draper in Cambridge, MA is seeking a Machine Learning Engineer I to design and implement ML/AI tools across diverse R&D projects, including GNSS and SDR. The role emphasizes collaboration, rigorous analytics, and the application of ML technologies to real-world problems.

You will work with Python, MATLAB, R, C++, and Java, and participate in a hybrid work environment. A Bachelor's in a technical field and 0–3 years of related ML/AI experience are expected. Security considerations may apply.

Qualifications

• Bachelor's degree in computer science, machine learning, statistics, mathematics, electrical engineering, computational biology, physics, or related field is required.
• 0-3 years machine learning or artificial intelligence or related experience is required.

Responsibilities

• Design and develop AI models to meet project requirements.
• Analyze and improve AI model performance.
• Apply ML/deep learning to enable systems to visualize, learn and respond.
• Collaborate with multiple teams and customers to define requirements.
• Continuously learn new technical skills and apply them.
• Review requirements and solve well-defined problems with guidance.
• Communicate challenges and deliver on commitments.

Skills

ML/AI development

Python

MATLAB

R

C++

Java

Version control (git)

Analytical skills

Communication skills

Education

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

Job description

Draper in Cambridge, MA is seeking a Machine Learning Engineer I to design and implement ML/AI tools across diverse R&D projects, including GNSS and SDR. The role emphasizes collaboration, rigorous analytics, and the application of ML technologies to real-world problems.

You will work with Python, MATLAB, R, C++, and Java, and participate in a hybrid work environment. A Bachelor's in a technical field and 0–3 years of related ML/AI experience are expected. Security considerations may apply.