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Principal Research Scientist - Frontier Industrial AI at AVEVA Solutions · Katori

Asks for

The ad says“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.”
The ad says“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.”
The ad says“Strong hands-on ability in AI experimentation and software development.”
The ad says“A PhD or equivalent research experience in machine learning, artificial intelligence, computer science, applied mathematics, engineering, or a related field.”
The ad says“A PhD or equivalent research experience in machine learning, artificial intelligence, computer science, applied mathematics, engineering, or a related field.”
The ad says“A PhD or equivalent research experience in machine learning, artificial intelligence, computer science, applied mathematics, engineering, or a related field.”
The ad says“A PhD or equivalent research experience in machine learning, artificial intelligence, computer science, applied mathematics, engineering, or a related field.”
The ad says“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.”
The ad says“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.”
The ad says“A PhD or equivalent research experience in machine learning, artificial intelligence, computer science, applied mathematics, engineering, or a related field.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“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.”
The ad says“Strong hands-on ability in AI experimentation and software development.”
The ad says“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.”
The ad says“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.”

AVEVA is creating software trusted by over 90% of leading industrial companies.

Salary Range:

$213,500.00 - $355,500.00

This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training.

Position: Principal Research Scientist - Frontier Industrial AI

Location: San Leandro, CA, Boston, MA, New York, NY (hybrid)
Role Type: Individual contributor

The role

AVEVA’s frontier AI research team, as part of the Chief Technologist Organization, focuses on developing the next generation of industrial intelligence. We are looking for exceptional researchers who combine original thinking with the ability to turn ambitious ideas into working systems.

You will define and pursue high-impact research questions, build experimental prototypes, publish influential work, and create defensible intellectual property. Research may span industrial foundation models for time-series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation.

This is a hands-on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways to move difficult initiatives forward.

What you will do

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 and 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.

What we are looking for

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.

Preferred 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 are encouraged to apply.

USA Benefits include:

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, vision, and 401K.

It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.

Find out more: aveva.com/en/about/careers/benefits/

Hybrid working

We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process.

Hiring process

Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.

Find out more: aveva.com/en/about/careers/hiring-process

About AVEVA

AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.

We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/

Find out more: aveva.com/en/about/careers/

AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.

AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.