AI Scientist Computer Vision
Siemens Energy
A complete application in a minute — tailored resume and cover letter, ready to send.
Benefits offered by this job
Job summary
Siemens Energy is seeking a research-focused professional to drive R&D in computer vision for next-generation energy systems. You will prototype novel CV methods, evaluate literature, and collaborate with international partners to transfer technology into energy applications.
The role emphasizes collaboration, innovation, and publishing findings while contributing to scalable solutions within a global AI organization.
Qualifications
- MSc/PhD in CS/Engineering/Math/Physics with strong CV focus.
- 2+ years of R&D experience in CV technologies.
- Expertise in object detection, segmentation, 3D reconstruction, and related CV methods.
Responsibilities
- Conduct applied CV research to advance internal R&D roadmap.
- Develop algorithms and prototypes from idea to implementation.
- Evaluate literature and identify tech transfer opportunities.
- Collaborate with international, multidisciplinary teams.
Skills
Education
Tools
Job description
As part of our global Artificial Intelligence organization, you will drive research and development of cutting-edge computer-vision technologies for next-generation energy systems. Your work will focus on exploring new methods in visual intelligence, developing prototypes, and transforming fundamental research into scalable solutions. You will investigate novel approaches for automated defect detection, autonomous operation, and visual asset analysis—laying the technological foundations that shape Siemens Energy’s digital future.
As part of our global Artificial Intelligence organization, you will drive research and development of cutting-edge computer-vision technologies for next-generation energy systems. Your work will focus on exploring new methods in visual intelligence, developing prototypes, and transforming fundamental research into scalable solutions. You will investigate novel approaches for automated defect detection, autonomous operation, and visual asset analysis—laying the technological foundations that shape Siemens Energy’s digital future. Honestly, we don’t have all the answers. Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can’t do it alone. Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.
- Conduct applied research in computer vision, machine learning, and 3D perception to advance our internal R&D roadmap.
- Develop novel algorithms, models, and computational methods, from ideation and experimentation to prototype implementation.
- Evaluate state-of-the-art scientific literature and identify opportunities for technology transfer into energy-sector applications.
- Collaborate with internal and external partners to jointly drive the application of Computer Vision technologies across Siemens Energy.
- Publish and present findings to internal and external stakeholders.
- Build experimental pipelines, conduct systematic testing, and document scientific results to guide future development.
- University degree (Masters or PhD preferred) in Computer Science, Engineering, Mathematics, Physics, or a related field with a strong focus on computer vision or image processing.
- 2+ years of experience in research and development of Computer Vision technologies.
- Deep expertise in modern CV techniques: object detection, semantic/instance segmentation, feature extraction, 3D reconstruction, generative models, sensor fusion, and related methods.
- Strong programming skills in C/C++ and Python; experience with research frameworks (PyTorch, TensorFlow), computer-vision libraries, and GPU-accelerated computing.
- Solid mathematical background (linear algebra, optimization, 3D geometry) and familiarity with sensor technologies and imaging systems.
- Experience in scientific research environments (industry R&D, lab, or academic research).
- Ability to collaborate across international, multidisciplinary research teams.
Within the enterprise team for Artificial Intelligence, we develop new methodologies and tools to enable data-driven decision-making along the value chain improving sustainability, reliability, and affordability of our energy solutions across the globe. We provide guidance and direction to the business and drive the strategy for the development of AI technologies within a partner ecosystem across industry and academia.
At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With more than 100,000 dedicated employees, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy:
https://www.siemens-energy.com/employeevideo
Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion, and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
- All employees are automatically covered under Medical Insurance. Company-paid considerable family floater cover covering employee, spouse, and 2 dependent children up to 25 years of age.
- Siemens Energy provides an option to opt for a Meal Card to all its employees, as per the terms and conditions prescribed in the company policy, as part of CTC and as a tax-saving measure.
- Flexi Pay empowers employees with the choice to customize the amount in selected salary components within a defined range, thereby optimizing tax benefits. Accordingly, each employee can determine the best possible net income from the same fixed individual base pay on a monthly basis.
- Opportunities to work with a global team and lead innovative digital transformation initiatives.
- Opportunities for professional and personal development through the Siemens Energy Learning Platform.
https://jobs.siemens-energy.com/jobs
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
