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Baker Hughes
Baker Hughes

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)

RoleMachine Learning
LevelIntern
LocationDE-BY-GARCHING-SCHLEISSHEIMER STRABE 92; DE-NI-WUNSTORF-NIELS-BOHR-STR. 7
WorkOn-site
TypeInternship
Posted1 month ago
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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

Baker 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