
Baker Hughes Company is an American global energy technology company co-headquartered in Houston, Texas and London, UK
Emerging Talent - Working Student/Intern - Computational Imaging (PyTorch) 2026 (Garching)
Join our Software Engineering Team
Are you excited about pushing the boundaries of machine learning for industrial X-ray computed tomography (CT)? Join us at Waygate Technologies, a global leader in Non‑Destructive Testing. We ensure safety, quality, and productivity for customers worldwide.As part of the Industrial X‑Ray Software Engineering Team, you will design, prototype, and validate next‑generation reconstruction approaches for industrial CT systems.
Partner with the Best:
At Waygate Technologies, you will join our CT‑reconstruction and algorithm team and help explore new algorithmic approaches for advanced CT imaging. Your work will focus on modern, data‑efficient neural reconstruction techniques and physics‑informed modeling. You will prototype and evaluate methods that:
· Integrate physical models into machine‑learning‑based reconstruction workflows
· Apply advanced optimization strategies to inverse problems
· Use coordinate‑based neural representations (INRs) to recover images from projection data
You will work with industrial CT experts and help develop techniques that directly improve image quality in real‑world applications.
Fuel your passion
To be successful in this role, you should possess:
· Proficiency in Python
· Knowledge of Py Torch
· Understanding of neural network training and optimization
· Experience with differentiable rendering is a plus
· C++ experience is a plus
· Current enrolment as a student in a relevant field such as computer science, mathematics, electrical engineering, physics, or a related area.
· Fluency in English or German.
Work in a way that works for you
We recognise that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:
· Working remotely from home or any other work location 50% of the time
· 15-20 working hours per week, with flexibility to accommodate your academic schedule, including lectures and exams.
· Opportunities to pursue a bachelor's or master's thesis in collaboration with our company following your employment as a working student.
Working with us
Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.
The Baker Hughes internal title for this role is: Intern/ Trainee/Apprentice
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About Baker Hughes

Baker Hughes
PublicBaker Hughes is a global energy technology company that provides solutions for energy and industrial customers worldwide. The company offers equipment, services, and digital solutions for oil and gas operations, industrial processes, and energy transition technologies.
10,001+
Employees
Houston
Headquarters
$13.9B
Valuation
Reviews
10 reviews
3.7
10 reviews
Work-life balance
2.8
Compensation
4.0
Culture
4.2
Career
3.5
Management
3.2
68%
Recommend to a friend
Pros
Supportive management and great team culture
Excellent benefits and competitive compensation
Professional development and training opportunities
Cons
Heavy workload and frequent overtime
High-pressure and stressful environment
Poor work-life balance
Salary Ranges
262 data points
L2
L6
Mid/L4
Senior/L5
L3
L4
L5
L2 · Data Scientist L2
0 reports
$23,927
total per year
Base
$9,571
Stock
$11,964
Bonus
$2,393
$16,749
$31,105
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
25%
Experience
Positive 25%
Neutral 50%
Negative 25%
Interview process
1
Application Review
2
Recruiter Screen
3
Digital/HireVue Interview
4
Technical Interview
5
Hiring Manager Interview
6
Offer
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
Problem Solving
Culture Fit
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