PSI
Member of Technical Staff, Applied AI
Boston · Staff+
Sponsorship not specifiedDetected 12 hours ago
Machine LearningANSYSCOMSOLCommunication
About the role
- Our mission is to discover and commercialize transformative physics breakthroughs at scale with artificial superintelligence, safely, verifiably, and for broad public benefit.
- The last century's golden age of physics gave us transistors, lasers, and nuclear energy.
- We believe artificial superintelligence will unlock the next one.
Responsibilities
- Build the demos and engagement-specific tooling that make PSI's physics-AI capabilities tangible. Working artifacts and live dashboards, not slide decks. Every engagement ends with something a customer can run and see results from.
- sensor telemetry, design documents, operational logs, public data feeds.
- Define schemas, build ingestion pipelines, make every engagement's data usable in days, not months.
Requirements
- You have written ML code that solved a real physics or engineering problem, not just synthetic benchmarks.
- You can read a domain paper, hold a technical conversation with a senior domain engineer, and reason about non-linear trade-offs between accuracy, speed, and extrapolation risk.
- You have shipped systems that held up under real-world distribution shift, not just on the training set.
- You can walk a real-world environment with operators, communicate technically with PhD researchers and pragmatically with practitioners in the same week, and ship working artifacts rather than slide decks.
Nice to have
- PhD or master's in physics, applied physics, engineering, computational science, or a comparable quantitative discipline.
- Experience with digital twins, physics-informed neural networks, neural operators, or other domain-specific ML architectures.
- This is an in-person role based in Boston.
- We evaluate on technical breadth, systems thinking, scientific curiosity, and shipping velocity.
Compensation
- We offer competitive compensation including salary, benefits, and meaningful early-stage equity.
Company info
- Work with customers to apply AI and ML to hard, real-world physics problems.
- Build ML models, simulations, and digital twins that beat traditional engineering workflows on accuracy, speed, or both, pair them with agentic optimization loops, and ship results customers can actually run in production.
- Every engagement either compounds a generalizable capability we can reuse across customers or it is killed at renewal.
- We are seeking engineers to build platform infrastructure at the intersection of computational science, AI systems, and software engineering.
Equal opportunity
- We are an equal opportunity employer and value diverse perspectives in building platforms for AI-driven discovery.
This listing is sourced directly from PSI's careers page and normalized into a canonical job model.