Jobs
Benefits & Perks
•Healthcare
•401(k)
•Learning Budget
•Parental Leave
•Healthcare
•401k
•Learning
•Parental Leave
Required Skills
Python
Machine Learning
Deep Learning
Generative AI
Foundation Models
Job Description Summary
Tätigkeiten, die darauf abzielen, durch Anwendung wissenschaftlicher und technischer Methoden zu beweisen, dass ein Konzept gültig oder technisch machbar ist. Die Arbeit in dieser Familie hat in der Regel das Ziel, die Leistung und das Umsetzungspotenzial eines Konzepts durch Tests zu belegen oder zu analysieren.
Verantwortlich für die Planung/Ausführung des Abteilungsbetriebs oder konzentriert sich auf die Ausführung von beruflichen Tätigkeiten innerhalb einer technischen Disziplin.
Hat eine gewisse Autonomie, wird jedoch von festgelegten Richtlinien oder der Überprüfung der Endergebnisse geleitet.
Die Stelle ermöglicht die Änderung von Arbeitsabläufen und Praktiken, sofern die Endergebnisse den Standards der Akzeptanz (Qualität, Umfang, Aktualität usw.) entsprechen.
Job Description:
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Roles and Responsibilities
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Research, conceptualize, and develop AI solutions for hard industrial problems
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Lead projects and collaborate with teams of peer researchers on new and continuing projects
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Demonstrate value of AI through early prototypes and solutions for real-world problems
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Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions
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Create intellectual property by writing invention disclosures and filing patents
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Publish research work to scientific journals and conferences
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Write and/or support grant proposals
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Required Qualifications
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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 Computer Science, Electrical/Computer Engineering, Mathematics, or related fields with a minimum of 5 years of work experience with a focus on Artificial Intelligence
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Demonstrated ability to write Python code
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Familiarity with GenAI packages including models from OpenAI, Google, Meta, etc. and ML frameworks like Py Torch, Tensor Flow, etc.
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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.
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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.
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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 US Export Administration Regulations (EAR), 15 CFR Section 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.
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Must be willing to work out of an office located in Niskayuna, NY
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Desired Characteristics
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Completed PhD focused on new advancements in Artificial Intelligence
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Demonstrated ability to lead AI projects
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Strong communication skills for engaging stakeholders, defining key problems, and sharing progress and outcomes.
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Experience writing and executing grant-supported research, including successful proposal development and communication with government agencies (e.g., DoE, ARPA-E, DoD, DARPA).
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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 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.
General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a "Sponsor"). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual.
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).
Relocation Assistance Provided: Yes
For candidates applying to a U.S. based position, the pay range for this 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 a variety of factors, including the candidate's experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on January 05, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, 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 Vernova 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 financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
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About GE Vernova
Reviews
3.8
34 reviews
Work Life Balance
3.7
Compensation
3.7
Culture
3.8
Career
3.7
Management
3.6
77%
Recommend to a Friend
Pros
Good work-life balance and flexible environment
Opportunity for career growth
Competitive compensation and benefits
Cons
Room for improvement in processes
Internal communication could improve
Some organizational bureaucracy
Salary Ranges
309 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Project Manager
0 reports
$188,136
total / year
Base
-
Stock
-
Bonus
-
$159,916
$216,356
Interview Experience
4 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
HR Interview
2
Digital Interview
3
Technical Rounds
4
Hiring Manager Interview
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