Research and Development Intern, PhD Track

Why join us

Tractian is the Physical AI for asset-heavy industries, now valued at $1.4B and trusted by more than 2,000 facilities worldwide. We're taking on the world's trillion-dollar downtime problem by building the hardware, AI, and software that give frontline workers real control over the machines that run the planet.

Why Join Us

Tractian combines hardware, software and AI to help industrial teams detect equipment problems early and prevent costly downtime. Our technology supports more than 3,761 plants and monitors over 370,000 industrial assets. As a Y Combinator company, we've been recognized on the Forbes AI 50, named a G2 Leader and ranked No. 24 on Deloitte's Technology Fast 500 in North America. Join us to help build technology that keeps industry running.

Research and Development at Tractian

Research and Development turns open technical questions into tested approaches. This track combines quantitative research, programming and experimentation to explore problems relevant to Tractian's products and business.

What You Will Do

Own a focused research problem with guidance from an engineering mentor. Define the question, implement a baseline and compare alternative approaches. Use the results to explain what works, what remains uncertain and what the team should investigate next.

Responsibilities

• Review relevant research and translate an open problem into testable hypotheses.
• Implement models and experiments in Python, documenting data, assumptions and methods.
• Compare approaches against meaningful baselines; assess generalization, failure cases and computational cost.
• Deliver reproducible code and a concise technical report explaining the findings, limitations and recommended next steps.

Requirements

• Currently pursuing a PhD in Physics, Computer Science, Machine Learning, Engineering, Applied Mathematics, Statistics or a related quantitative field.
• Strong Python programming skills and foundations in mathematical modeling, statistics and experimental design.
• Research experience developing or evaluating computational methods through code and experiments.
• Ability to investigate unfamiliar problems independently, question assumptions and communicate what the evidence supports.
• Experience with predictive modeling, optimization, scientific computing or time-series analysis.

Helpful Experience

Familiarity with tools such as NumPy, JAX or PyTorch is useful. Papers, research software and technical projects are welcome; publications are not required.

What You Will Gain

Experience applying doctoral research skills to a practical technical problem, with mentorship on experimentation, implementation and communicating findings that inform engineering decisions.

I want to apply

See also

Senior Finance Analyst - Accounts Receivable

Business Operations

Atlanta, GA + 2 more

Senior Cloud Engineer

Software

Atlanta, GA + 2 more

Enterprise Account Executive

Sales

Atlanta, GA + 3 more

View all open positions

Tractian Ranked #24 Fastest-Growing Company in North America

Read More