Principal Research Scientist - Frontier Industrial AI
$213,500–$355,500 year
HybridPhiladelphia, Pennsylvania, United States or San Leandro, California, United States
Job Summary
Define and lead ambitious research initiatives in frontier industrial AI, developing new models, algorithms, and system architectures. Build high-quality experimental systems and validated prototypes, then publish influential work and contribute to the patent and IP portfolio. Create benchmarks, datasets, and evaluation frameworks for industrial AI while partnering with leading labs and universities to move hypotheses through validation. Shape the longer-term AI research direction and technical strategy with high autonomy in uncertain problem spaces. This hands-on role sits within AVEVA's Chief Technologist Organization, focusing on industrial foundation models, simulation, and trustworthy decision-support agents.
Required Qualifications
- A PhD or equivalent research experience in machine learning, artificial intelligence, computer science, applied mathematics, engineering, or a related field
- Evidence of original research through strong publications, patents, open-source work, prototypes, or other meaningful technical contributions
- Strong hands-on ability in AI experimentation and software development
- Ability to independently identify important problems, formulate research hypotheses, and execute projects with limited structure
- Deep expertise in one or more areas such as foundation models, multimodal learning, time-series modeling, generative models, reinforcement learning, agentic systems, simulation, world models, representation learning, or AI evaluation
- Strong scientific judgment and the ability to design rigorous experiments and communicate results clearly
- High agency, intellectual curiosity, and a constructive problem-solving mindset
- Ability to collaborate across research, engineering, product, and teams
- Must be able to work in a hybrid arrangement with an expectation of being on-site 50% of working hours
- Must be able to pass a drug screening and comprehensive background check
- Must have work authorization
Desired Qualifications
- Experience working with industrial, manufacturing, energy, infrastructure, engineering, or scientific data
- Recent publications at leading machine learning, AI, data mining, robotics, or systems venues
- Experience developing models at scale or building complex research systems
- Experience with simulation environments, digital twins, multimodal data, or industrial time series
- A track record of initiating and advancing research projects with limited supervision
- Exceptional recent PhD graduates with a strong research record
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