Senior ML Engineer (f/m/d) - AI for Power Systems
Erlangen
Vollzeit
Was ehemalige und aktuelle Mitarbeiter:innen über diesen Arbeitgeber sagen
Geschätztes Gehalt
Das könntest du laut kununu User:innen als Netzingenieur:in in Deutschland verdienen
Ø 69.100 €
Bruttodurchschnittsgehalt Vollzeit
54.800 €94.000 €
Mehr Einblicke
Was die Firma über den Job sagt
A Snapshot of Your Day
As a Senior ML Engineer (f/m/d) in our Grid Technologies AI Lab, you’ll support cutting edge research that makes our vision of an autonomous power grid possible. In this role, you’ll combine your experience in building ML and AI solutions with our next generation hardware and global power system expertise and data to push the envelope of what is possible in the power system of the future. In the morning, you’ll meet with the AI research team for a standup, and help some of the researchers optimize their model training code to run more efficiently on GPUs. In the afternoon, you’ll do pair programming with researchers to implement a research idea they have and start to run experiments. Then, you’ll write documentation for the code you’ve developed, making it easier for future researchers to dive in and understand the work that’s been done.
Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Grid Technologies AI Lab is pioneering next generation AI tools for driving the energy transition.
Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.
How You’ll Make an Impact
Our Grid Technology division enables a reliable, sustainable, and digital grid. The power grid is the backbone of the energy transition. Siemens Energy offers a leading portfolio and solutions in HVDC transmission, grid stabilization and storage, high voltage switchgears and transformers, and digital grid technology.
Who is Siemens Energy?
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 94,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment.
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
Our Commitment to Diversity
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.
Rewards/Benefits
As a Senior ML Engineer (f/m/d) in our Grid Technologies AI Lab, you’ll support cutting edge research that makes our vision of an autonomous power grid possible. In this role, you’ll combine your experience in building ML and AI solutions with our next generation hardware and global power system expertise and data to push the envelope of what is possible in the power system of the future. In the morning, you’ll meet with the AI research team for a standup, and help some of the researchers optimize their model training code to run more efficiently on GPUs. In the afternoon, you’ll do pair programming with researchers to implement a research idea they have and start to run experiments. Then, you’ll write documentation for the code you’ve developed, making it easier for future researchers to dive in and understand the work that’s been done.
Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Grid Technologies AI Lab is pioneering next generation AI tools for driving the energy transition.
Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.
How You’ll Make an Impact
- Support AI researchers to implement their ideas and experiments. Help them to translate their research ideas into efficient experiments that run on GPUs.
- Work across research project teams to create reusable packages and artifacts, helping to re-factor code
- Collaborate and pair-program with AI researchers on model training and experiment runs.
- Keep up to date on new tools and methods for optimizing GPU utilization and model training efficiency, as well as tracking and scoring experiment runs and ensuring reproducibility of research results.
- Develop and implement novel algorithms, techniques, and models using state-of-the-art approaches such as fine-tuning methods, federated learning, and knowledge distillation.
- Collaborate with the research team, as well as external partners, to enhance our research capabilities and drive innovation.
- Provide technical guidance and mentorship to junior researchers and engineers, fostering a culture of collaboration and continuous learning.
- Stay up to date on industry trends, competitor activities, and emerging technologies to ensure our research remains relevant and cutting-edge.
- Bachelors or master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Simulation Science, or a related field, or equivalent experience
- Long term experience in ML Engineering, with experience in re-factoring code, and pair-programming, working with other colleagues to re-write research code into product-level software.
- Experience contributing to open-source projects a plus.
- Proficient in Python, TensorFlow, PyTorch, and other relevant machine learning frameworks.
- Experience with ML model experiment tracking tools like ML Flow and Weights and Biases
- Experience optimizing machine learning workflows to run on GPUs.
- Strong problem-solving skills, curiosity, and resilience: hard research challenges excited you to dive in.
- Strong communication and collaboration skills, with experience mentoring and guiding junior team members.
Our Grid Technology division enables a reliable, sustainable, and digital grid. The power grid is the backbone of the energy transition. Siemens Energy offers a leading portfolio and solutions in HVDC transmission, grid stabilization and storage, high voltage switchgears and transformers, and digital grid technology.
Who is Siemens Energy?
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 94,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we’re also using our technology to help protect people and the environment.
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
Our Commitment to Diversity
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.
Rewards/Benefits
- In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
- We also offer the opportunity to become a Siemens Energy shareholder
- We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
- The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programmes and learning materials are available for this purpose
- In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical .