Job Description

As a Staff Data Scientist - Vision AI within GE Vernova Power's DSAI team, you will be a critical technical leader responsible for designing, developing, and deploying advanced computer vision solutions in Roboflow, a commercial SaaS (Software as a Service) Vision AI platform, that tackles complex challenges in the power generation industry. You will leverage your expertise in deep learning, image processing, and AI to derive actionable insights from visual data, contributing directly to predictive maintenance, quality control, asset integrity, and operational excellence. This role requires not only deep technical proficiency but also the ability to lead projects, mentor junior team members, and drive the adoption of best practices in Vision AI.

Roles and Responsibilities

• Drive the end-to-end lifecycle of computer vision projects, from problem definition, data acquisition, and model development to deployment and monitoring in production environments.
• Design, implement, and optimize state-of-the-art deep learning models for various computer vision tasks such as object detection, image classification, segmentation, tracking, and anomaly detection in industrial settings.
• Develop strategies for efficient data collection, organization, and annotation of large-scale image and video datasets. Expertise in tools like Roboflow for dataset management, annotation, and model iteration is highly valued.
• Conduct thorough EDA for visual data to understand patterns, identify biases, and inform model development, ensuring data quality and relevance for industrial applications.
• Oversee and contribute to the meticulous tagging and annotation of visual data, ensuring high-quality ground truth for model training and validation.
• Stay abreast of the latest advancements in computer vision, deep learning, and AI research, and proactively identify opportunities to apply new techniques to GE Vernova's challenges.
• Provide technical guidance and mentorship to less experienced data scientists, fostering a culture of continuous learning and excellence within the team.
• Ensure the robustness, scalability, and reliability of developed computer vision models and pipelines, optimizing performance on various computing environments (edge, cloud).
• Clearly document methodologies, code, and results, and effectively communicate complex technical concepts and findings to both technical and non-technical stakeholders.

Required Qualifications:

• Bachelor’s or Master’s degree in quantitative fields such as Data Science, Computer Science, Statistics, Economics, or a related discipline
• Minimum of 4 years of progressive experience in Data Science or Machine Learning, with at least 3 years focused specifically on Computer Vision.
• Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python, including experience with relevant libraries (e.g., OpenCV, scikit-image, NumPy, Pandas).
• Demonstrated experience with end-to-end computer vision project delivery in a production environment.
• Direct experience with data annotation platforms and processes, specifically including Roboflow for dataset management, annotation, and augmentation
• Solid understanding and hands-on experience with Exploratory Data Analysis (EDA) tailored for image and video data, including techniques for identifying data quality issues, biases, and relevant features.
• Expertise in various data tagging and annotation strategies for object detection, segmentation, and classification tasks.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) for model development, training, and deployment.
• Excellent problem-solving skills, with the ability to break down complex problems and develop practical, innovative solutions.
• Strong communication and interpersonal skills, capable of influencing and collaborating across diverse teams.
• Has export control clearance to work on Nuclear projects

Desired Characteristics:

• Experience with MLOps practices and tools for computer vision models.
• Domain knowledge in industrial applications, power generation, energy, or manufacturing.
• Familiarity with various data types beyond images/video (e.g., time series, sensor data).
• Publications in top-tier conferences or journals in computer vision or machine learning.
• Experience with edge AI deployments or embedded vision systems.
• Track record of mentoring junior data scientists or leading small technical teams.

Leadership:
• Demonstrated skill at working in a team setting
• Demonstrated skill in critical thinking and problem solving methods
• Demonstrated skill in presentation and influencing skills

Personal Attributes:
• Demonstrated awareness of how to succeed in ambiguous circumstances

Additional Information

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: No

For candidates applying to a U.S. based position, the pay range for this position is between $106,700.00 and $178,000.00. 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 April 02, 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.