Research Scientist

5 months ago

Burlington, MA, USAMid Level

Base Salary

$76k - $108k/yr

Responsibilities

Develop and implement software, models, simulations, and experiments for applied ML/AI R&D projects.
Design, test, validate, and evaluate software systems for prototype deployment.
Contribute software engineering expertise across autonomy, robotics, sensing, communication, decision support, and related application areas.
Train, evaluate, and experiment with machine learning models and rapidly prototype solutions under senior engineer guidance.
Collaborate with academic, industry, research, and engineering partners on multidisciplinary projects.
Contribute to proposals, publications, whitepapers, and government and industry contract work.

Bachelor’s or master’s degree in electrical engineering, computer engineering, computer science, applied mathematics, or a closely related field.
2–4 years of professional experience in software engineering, data science, or applied R&D, with exposure to ML and AI system development.
Proficiency in Python and familiarity with modern ML/AI development workflows.
Experience with the design, implementation, testing, or evaluation of ML/AI-enabled or simulation-driven software systems.
Hands-on experience with machine learning frameworks such as PyTorch, including model training, evaluation, and experimentation.
Familiarity with distributed or accelerated computing, databases, cloud environments, containerized ML workflows, version control, modular code design, testing, documentation, and reproducibility.
U.S. citizenship and the ability to obtain and maintain a security clearance.
Preferred qualifications include a master’s degree focused on ML/AI or related areas, government/defense/security R&D experience, simulation experience, graph analytics, RAG or LLM-enabled systems, geospatial data, frontend tools, MLOps, and an active security clearance.

Medical, vision, dental, paid time off, tuition assistance, wellness and life benefits, retirement plans with generous matching, and commuting and transportation benefits.
Tuition waiver for classes and advanced degree programs.
Primary office location is Northeastern University’s Innovation Campus in Burlington, Massachusetts.

11-50 employees