Build and ship AI Physics capabilities alongside the Rescale AI/ML team
Turn real customer simulation data into AI-ready pipelines using the core AI Physics product
Execute and harden early AI Physics POCs so they are repeatable, reusable, and production-ready
Debug and resolve issues across data preprocessing, models, inference, and workflow orchestration
Work directly with customer engineers to understand their workflows and technical constraints
Close gaps between customer workflows and product capabilities, feeding concrete learnings back into the product roadmap
Act as a builder first, with the ability to be forward-deployed on critical customer engagements when needed

Requirements

Strong software engineering fundamentals, with heavy emphasis on Python
Hands-on experience with ML or data-driven systems in production contexts
Familiarity with simulation workflows and engineering data
Experience building and modifying data pipelines and ML workflows
Ability to debug complex issues across data, models, and workflow orchestration
Comfortable working directly with customer engineers on technical problems

Benefits

Offers Equity
Offers Commission

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonmachine learningdata pipelinesdata preprocessingworkflow orchestrationAI Physicssimulation workflowsproduction systemsdebuggingmodel inference

Soft Skills

collaborationproblem-solvingcustomer engagementcommunicationadaptabilitycritical thinkingtechnical understandingfeedback incorporationteamworkcustomer-focused