DirectJobHub
Jobs · Analyst · New York

Lead Scientist - Artificial Intelligence

GE Vernova · Niskayuna, NY · 1 wk ago
On-siteAnalyst$98k–$164k/yrFull-time

About the role

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 developing and demonstrating innovative AI technologies to transform the future of energy. You will join a highly skilled, dynamic, and motivated team of AI Researchers, contributing to projects that design, develop, and apply cutting-edge AI—including machine learning, deep learning, generative AI, and foundation models—to tackle complex challenges in the energy sector. Your work will span fundamental theoretical and empirical research, prototyping, and solution development across diverse areas such as power generation, renewable energy, electric grids, robotics, and manufacturing. You will collaborate with GE Vernova’s business units, external academic partners, and government agencies to drive AI research and push the boundaries of scientific understanding.

Responsibilities

  • Research, conceptualize, and develop AI solutions for hard industrial problems.
  • Lead projects and collaborate with teams of peer researchers on new and continuing initiatives.
  • Demonstrate the value of AI through early prototypes and real-world solutions.
  • 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 in scientific journals and conferences.
  • Write and/or support grant proposals.

Requirements

  • 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 MS degree in the same fields with a minimum of 5 years of work experience in AI.
  • Demonstrated ability to write Python code.
  • Familiarity with GenAI packages (e.g., models from OpenAI, Google, Meta) and ML frameworks like PyTorch, TensorFlow.
  • Experience in one or more of the following areas:
    • Training domain-specific large language models (LLM).
    • Development of time-series or multi-modal foundation models.
    • Building and leveraging knowledge graphs with LLMs for reasoning and memory.
    • Integrating physics in scientific machine learning models.
  • Must have work authorization for the US.
  • Must be willing to work out of an office located in Niskayuna, NY.

Desired Qualifications

  • 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).

This role requires access to U.S. export-controlled information. Final offers will be contingent on the ability to obtain authorization for access to such information from the U.S. Government.

Benefits

  • Medical, dental, vision, and prescription drug coverage.
  • Access to Health Coach from GE Vernova, a 24/7 nurse-based resource.
  • Employee Assistance Program, providing 24/7 confidential assessment, counseling, and referral services.
  • GE Vernova Retirement Savings Plan (401(k)) with company matching and retirement contributions.
  • Fidelity resources and financial planning consultants.
  • Tuition assistance and adoption assistance.
  • Paid parental leave and disability benefits.
  • Life insurance.
  • 12 paid holidays and permissive time off.

Pay

The pay range for this U.S.-based position is between $98,400.00 and $164,000.00. The Company pays a geographic differential of 110%, 120%, or 130% of salary in certain areas. The specific pay offered may be influenced by the candidate’s experience, education, and skill set. Bonus eligibility includes a discretionary annual bonus.

Similar jobs