Deep Learning Research Engineer Intern

Job overview

The Deep Learning Research Engineer Intern role is listed for Washington, US remote, Boston, MA, and San Francisco, CA. Compensation is not specified. DataRobot develops AI products and platforms intended to help organizations deliver and govern AI. The intern will help shape and implement a probabilistic foundation model, connecting research ideas to production-quality PyTorch code and rigorous experiments. The work supports model architecture development, evaluation, and practical usefulness across temporal, tabular, and mixed-modality data.

What you'll do

• Design and improve model architecture and input encoders
• implement scalable PyTorch models
• run controlled architecture studies and benchmark experiments
• evaluate memory, throughput, and model quality
• investigate how architecture and synthetic data affect results
• contribute stochastic dynamics and data-generation work when qualified.

What we're looking for

Skills & competencies

deep learning

research engineer intern

pytorch

transformers

probabilistic modeling

foundation models

model architecture

synthetic data

stochastic modeling

datarobot

remote washington

boston

san francisco

Work arrangement

• Weekend coverage required

Benefits & perks

• Potential benefits include medical, dental, and vision insurance, flexible time off, paid holidays, paid parental leave, and an employee assistance program.

Why this role

Research-engineering internship focused on a multi-target probabilistic foundation model, with work spanning deep learning, stochastic modeling, and implementation.

About the employer

DataRobot is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.