Lead Scientist - Artificial Intelligence

GE Vernova

City of Schenectady (NY)

On-site

USD 98,400 - 164,000

Full time

14 days+
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Benefits offered by this job

Medical, dental, vision coverage
401(k) matching contributions
Paid parental leave
Tuition assistance

Job summary

A leading energy technology company in Schenectady, NY, seeks a Lead Scientist to develop AI technologies aimed at energy transition. The ideal candidate holds a PhD and has experience in artificial intelligence and collaborative project work. This position offers a competitive salary range and various benefits including healthcare and retirement plans. Remote work is not available, and candidates must be legally authorized to work in the U.S.

Qualifications

  • PhD in Computer Science, Electrical/Computer Engineering, or related fields.
  • Minimum 2 years experience focused on AI or 5 years with an MS.
  • Legal authorization to work in the U.S.

Responsibilities

  • Lead and execute projects in AI for the energy sector.
  • Research and develop solutions for industrial problems.
  • Publish research work and support grant proposals.

Skills

Python coding
AI solution development
Machine learning frameworks (PyTorch, TensorFlow)
Generative AI knowledge
Project leadership

Education

PhD in Computer Science or related field
MS in Computer Science or related field with relevant experience

Tools

OpenAI models
Google AI models
Meta AI models

Job description

As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business’s mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero‑carbon future.

Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova’s businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy‑focused projects. Collectively, these research programs and initiatives aim to solve near‑term technical challenges, deliver next‑generation product advances, and drive long‑term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.

As a global leader in the energy domain, GE Vernova is a purpose‑built energy technology company on a mission to electrify and decarbonize the world. Our Artificial Intelligence (AI) team at GE Vernova’s Advanced Research Center is at the heart of this mission, developing and demonstrating innovative AI technologies to transform the future of energy. You can be a part of a highly skilled, dynamic and motivated team of AI Researchers, who are laying the groundwork for GE Vernova to succeed in its mission.

As a Lead Scientist, you will lead and/or execute on projects to design, develop, and apply innovative AI technologies, including machine learning, deep learning, generative AI, and foundation models, to tackle complex challenges in the energy sector. Your work will span the entire research spectrum, from fundamental theoretical and empirical investigations to prototyping and solution development. You will have the opportunity to define and work on diverse projects, including power generation, renewable energy, electric grids, robotics, and manufacturing, in collaboration with GE Vernova’s business units and a broad network of Researchers across disciplines and domains. Additionally, you will contribute to cutting‑edge research programs with external partners in academia and government, driving the advancement of AI research at GE Vernova and pushing the boundaries of human scientific understanding globally.

Roles and Responsibilities
  • Research, conceptualize, and develop AI solutions for hard industrial problems
  • Lead projects and collaborate with teams of peer researchers on new and continuing projects
  • Demonstrate value of AI through early prototypes and solutions for real‑world problems
  • Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions
  • Create intellectual property by writing invention disclosures and filing patents
  • Publish research work to scientific journals and conferences
  • Write and/or support grant proposals
Required Qualifications
  • PhD in Computer Science, Electrical/Computer Engineering, Mathematics, or related fields and a minimum of 2 years of work experience with a focus on Artificial Intelligence or an MS degree in Computer Science, Electrical/Computer Engineering, Mathematics, or related fields with a minimum of 5 years of work experience with a focus on Artificial Intelligence
  • Demonstrated ability to write Python code
  • Familiarity with GenAI packages including models from OpenAI, Google, Meta, etc. and ML frameworks like PyTorch, TensorFlow, etc.
  • Experience in one or more of the following areas: Multi‑Modal Foundation Models (image, text, tabular data), LLM Integration with Knowledge Graphs, Physics‑Informed Machine Learning, Graph Neural Networks for Energy Systems, Time‑series Foundation Models, or Energy‑aware ML.
  • Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Masters level for employment visas, now or in the future, for this job opening.
  • Because of the specific categories of data handled by GE Vernova Advanced Research and the structure of our work environment, we are unable to accommodate employment of persons while they are considered nationals of countries subject to comprehensive restrictions under the U.S. Export Administration Regulations (EAR), 15 CFR § 746 et seq. (currently North Korea, Syria, Iran and Cuba). Please note that citizens of these countries who have either “U.S. person” status under U.S. export control laws or subsequent citizenship or permanent residency from a non‑restricted country can be considered.
  • Must be willing to work out of an office located in Niskayuna, NY
Desired Characteristics
  • Completed PhD focused on new advancements in Artificial Intelligence
  • Demonstrated ability to lead AI projects
  • Strong communication skills for engaging stakeholders, defining key problems, and sharing progress and outcomes.
  • Experience writing and executing grant‑supported research, including successful proposal development and communication with government agencies (e.g., DoE, ARPA‑E, DoD, DARPA).
  • Experience contributing to open‑source codebases and/or a significant portfolio of public work (e.g., on GitHub).

The base pay range for this position is $98,400–$164,000 USD. The specific pay offered may be influenced by a variety of factors, including the candidate’s education and skill set. This position may also be eligible for a sign‑on incentive and new‑hire equity grant based on meeting certain eligibility criteria. This position is also eligible for a performance bonus. This position will be posted until at least 11/3/2025.

Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse‑based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax‑advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time‑off for vacation or illness.

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Seniority level
  • Mid‑Senior level
Employment type
  • Full‑time
Job function
  • Research, Analyst, and Information Technology
Industry
  • Electric Power Generation
Relocation Assistance Provided

Yes

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