Principal Research Scientist – Frontier Industrial AI

AVEVA

Principal AI researcher advancing industrial intelligence for AVEVA, a global industrial software company. Building frontier models, prototypes, benchmarks, and intellectual property.

Posted 8/7/2026full-timeSan Leandro • California, Massachusetts, New York, Pennsylvania • 🇺🇸 United StatesLead💰 $213,500 - $355,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates deep expertise in machine learning and artificial intelligence, with a strong focus on developing innovative models and algorithms. Proven ability to lead research initiatives, publish findings, and collaborate effectively across teams in industrial settings.

Highest-signal resume keywords

PhD In Machine LearningAI ExperimentationModel DevelopmentResearch PublicationCollaboration Across Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningArtificial IntelligenceAlgorithmsEvaluation MethodsSystem ArchitecturesGenerative ModelsReinforcement LearningSimulationTime-Series ModelingRepresentation Learning

Soft Skills

Intellectual CuriosityProblem-Solving MindsetScientific JudgmentCommunication SkillsHigh Agency

Tools & Technologies

Simulation EnvironmentsDigital TwinsMultimodal DataIndustrial Time Series

Industry Keywords

Industrial AIResearch InitiativesPrototypesPatentsData MiningRoboticsEngineering DataManufacturingEnergyInfrastructure

About the role

Key responsibilities & impact

Define and lead ambitious research initiatives in frontier industrial AI
Develop new models, algorithms, evaluation methods, and system architectures
Build high-quality experimental systems and validated research prototypes
Publish at leading AI and machine learning venues
Contribute to AVEVA’s patent and IP portfolio
Create benchmarks, datasets, and evaluation frameworks for industrial AI
Partner with leading AI labs, universities, and technology organizations
Take research from initial hypothesis through prototype and validation
Help shape AVEVA’s longer-term AI research direction and technical strategy

Requirements

What you’ll need

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 including 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 ability to design rigorous experiments and communicate results clearly
High agency, intellectual curiosity, and constructive problem-solving mindset
Ability to collaborate across research, engineering, product, and other teams
Experience with industrial, manufacturing, energy, infrastructure, engineering, or scientific data preferred
Recent publications at leading machine learning, AI, data mining, robotics, or systems venues preferred
Experience developing models at scale or building complex research systems preferred
Experience with simulation environments, digital twins, multimodal data, or industrial time series preferred
Track record of initiating and advancing research projects with limited supervision preferred
Successful applicants must pass drug screening and a comprehensive background check

Benefits

Comp & perks

Flex work hours
20 days PTO rising to 25 with service
Three paid volunteering days
Primary and secondary parental leave
Well-being support
Medical, dental, and vision insurance
401K
Reasonable accommodation during the application and hiring process