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GE Vernova

Builds equipment and software for electric power

Research Scientist - Machine Learning

Full-Time
No salary listed
Mid, Senior
Master's, PhD
Bengaluru, Karnataka, India
In PersonRelocation assistance is provided.
AI & Machine LearningAI Research

About the job

Requirements
  • A PhD from a premier Indian institution such as IISc or an IIT with 0–2 years of relevant experience, or a Master's degree from such an institution with at least 5 years of relevant experience, in artificial intelligence and machine learning or a related field.
  • Strong understanding and hands-on experience in machine learning, artificial intelligence, computer vision, image processing, object detection, segmentation, and deep learning architectures such as convolutional neural networks and Vision Transformers.
  • Experience applying artificial intelligence and machine learning and computer vision concepts to practical applications, including industrial visual inspection, image classification, or real-time object detection.
  • Proficiency in programming languages and frameworks commonly used in artificial intelligence and machine learning and computer vision applications, including Python, TensorFlow, PyTorch, and OpenCV.
  • Experience in data analysis and manipulation using pandas and NumPy.
  • Familiarity with software development best practices, version control such as Git, and agile methodologies.
  • Ability to build prototypes and develop proof-of-concepts to illustrate solution feasibility.
  • A good record of peer-reviewed publications in reputable journals and conferences in artificial intelligence and machine learning, computer vision, or related fields.
Responsibilities
  • Develop advanced algorithms and methodologies in artificial intelligence, machine learning, and computer vision to drive process and product innovation.
  • Analyze extensive datasets to identify patterns, trends, and insights, emphasizing computer vision-based diagnostics, visual inspection, and prognostics for large-scale energy equipment.
  • Design and optimize artificial intelligence and machine learning and computer vision algorithms and models, including convolutional neural networks and generative models, for high performance and scalability.
  • Design and conduct experiments to assess the efficacy and reliability of artificial intelligence and machine learning-based solutions.
  • Document research findings, methodologies, and implementation strategies for knowledge sharing and future reference.
  • Collaborate with engineers, researchers, and product managers to integrate artificial intelligence and machine learning solutions into existing system platforms.
  • Contribute to research initiatives that conceptualize and develop artificial intelligence and computer vision solutions for complex industrial challenges, including image-based defect detection, object recognition, and visual analytics.
  • Support senior researchers and contribute to project execution in alignment with strategic objectives.
  • Demonstrate the impact of artificial intelligence through prototypes and solutions addressing real-world problems.
  • Use software libraries, tools, and methodologies to implement efficient, scalable, and reusable solutions.
  • Contribute to intellectual property development by authoring invention disclosures and supporting patent filings.
  • Publish research in scientific journals and present findings at conferences.

About the company

GE Vernova makes equipment and software that generate and manage electricity for utilities, power producers, and industrial customers. Its Power, Wind, and Electrification businesses span gas turbines, wind generation, and the systems that move electricity across grids. The company supplies generators, grid equipment, and controls, while its software coordinates network operations and integrates changing sources of power. Customers buy equipment and enter service agreements for maintenance, upgrades, and technical support over its operating life, alongside purchases of software and related services. GE Vernova became an independent company in 2024 after separating from GE and is headquartered in Cambridge, Massachusetts.

Company Size

10,001+

Company Stage

N/A

Total Funding

$17.6M

Headquarters

Cambridge, Massachusetts

Founded

2024

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Simplify's Take

What believers are saying

  • Demand supports expansion: July 2026 results show GE Vernova booked $24.2 billion of quarterly orders, up 88% organically.
  • Service commitments support recurring work: GE Vernova says services account for more than 55% of its backlog.
  • Graduates build depth through rotations: GE Vernova runs two-year Next Gen development programs in engineering, technology, and operations.

What critics are saying

  • Wind remains a drag: July 2026 results show GE Vernova lost $275 million in quarterly Wind segment EBITDA.
  • Project margins absorb overruns: GE Vernova locks prices before completion and discloses meaningful expenses from excess costs and penalties.
  • Field assignments demand long weeks: GE Vernova's listed transformer specialist works typical 12-hour site days, up to six weekly.

What makes GE Vernova unique

  • Its technology underpins global power: GE Vernova says customers generate approximately one-quarter of world electricity using its equipment.
  • Gas turbine scale anchors expertise: GE Vernova reports the largest installed fleet by generating capacity, across approximately 7,000 turbines.
  • Nuclear work reaches beyond equipment: GE Vernova Hitachi supplies advanced reactors, fuel, and services for operating plants.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Disability Insurance
  • 401(k) Retirement Plan
  • 401(k) Company Match
  • Paid Vacation
  • Paid Parental Leave
  • Mental Health Support
  • Relocation Assistance
  • Performance Bonus

Company News

Yahoo Finance
Oct 29th, 2026
GE Vernova buys Trench Group for $9B, doubles buyback to $20B as backlog hits $197B

GE Vernova agreed to buy Trench Group for $9 billion, the power equipment maker said on its third-quarter earnings call on October 28, 2026. The deal brings in-house the making of substation parts such as insulation bushings and coils for grid stability. Total order backlog grew to $197 billion. Gas power segment margins reached 21.4% of EBITDA, helped by the first 5 gigawatts of gas equipment shipments at higher prices. The company also doubled its share buyback programme from $10 billion to $20 billion. It holds $17 billion in cash and will fund the acquisition with a mix of debt and cash. Chief executive officer Scott Strazik said the company is "still in the early stages of this electricity investment super cycle.

GE Vernova
Oct 28th, 2026
GE Vernova to acquire Trench Group

CAMBRIDGE, Mass., (October 28, 2026) – GE Vernova Inc. (NYSE: GEV) today announced that it has signed an agreement to acquire Trench Group (“Trench”), a global leader in high-voltage grid equipment, from investment firm Triton Partners. The deal will create scale across GE Vernova’s Electrification product lines, expanding its capabilities to better serve customers with integrated solutions that meet unprecedented demand for grid modernization, energy security, and electrification technologies.

AOL
Oct 28th, 2026
GE Vernova to buy Trench Group from Triton Partners for $9B

GE Vernova will buy high-voltage grid equipment maker Trench Group from investment firm Triton Partners in a $9 billion deal, the power equipment maker said on Wednesday. It aims to expand its electrification business and tap surging investment in power grids. The acquisition will add manufacturing capacity and widen GE Vernova's reach across North America, Europe, and Asia. It also gives the company access to Trench's backlog and framework agreements worth about $5 billion. GE Vernova expects to pay half in cash and half in debt, and to close the deal in late 2027. Separately, it raised its full-year revenue forecast for a third consecutive time, to $46.5 billion to $47.5 billion from $45.5 billion to $46.5 billion.

Yahoo Finance
Oct 24th, 2026
Venture Global's 16 gas power units deal ties GE Vernova deeper into AI data centre power

Venture Global has signed multi-year frame agreements with GE Vernova and Baker Hughes for up to 16 new gas-fired power island units, each rated at 720MW, plus grid equipment. The units will supply behind-the-meter power for its LNG facilities and potential AI data centres without drawing on public grids. The deal ties GE Vernova's gas turbines and grid hardware to privately controlled industrial networks rather than regulated utilities. It deepens the company's exposure to energy-hungry AI computing. GE Vernova expects 125GW under contract by 2026. Risks include weaker European demand, wind losses, tariffs, restructuring costs, and project delays. Analysts' bullish case sees 2029 revenue of $64.7 billion and earnings of $10.7 billion. A more cautious view puts them at $57.8 billion and $6.3 billion.

Yahoo Finance
Oct 22nd, 2026
GE Vernova Q3 preview: $176B backlog and 145% expected EPS growth ahead of October 28 report

GE Vernova will report third-quarter 2026 results on October 28. Analysts expect earnings of $4.03 per share, up more than 145% from a year earlier. In the second quarter, equipment orders more than doubled and service orders rose 15%. Total backlog climbed to $176 billion. For the third quarter, the company expects Power segment revenue growth of 17%–19% and an EBITDA margin of about 17%–18%, up from 13.3% a year earlier. Electrification revenue is forecast at $3.8 billion–$4.0 billion. The stock is about 26% below its 52-week high, which has eased valuation concerns. Most analysts rate it a "Strong Buy.