A Snapshot of Your Day

As the Principal Artificial Intelligence (AI) Research Scientist in our Grid Technologies AI Lab, you’ll lead cutting edge research that makes our vision of an autonomous power grid possible. In this role, you’ll combine your experience in cutting-edge AI research for power systems 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 meet with thermal engineers about the physics of a transformer you will model. In the afternoon, you and your team run model training experiments on cutting edge hardware, logging your research results. Later, you meet with domain experts again to get more information that you can use to improve the model.

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

• Craft research questions that push the boundaries of what’s possible with AI in power systems.

• Conduct cutting-edge research in physics-informed AI, Graph Neural Networks, and Large Foundation Models for application to power grid tasks

• 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.

• Publish research findings in top-tier conferences and journals such as NeurIPS, ICML, and ACL, and present at industry events to showcase our advancements and maintain our position as an industry leader.

• 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.

What You Bring

• Master’s Degree or PhD (preferred) in Computer Science, Artificial Intelligence, Simulation Science, or a related field.

• 3 or more years of experience in AI research, with a focus on novel AI techniques for power systems. *Candidates with more experience can be considered for a higher level or vice-versa.

• Strong track record of published research and conference presentations in relevant fields, particularly at top-tier conferences such as NeurIPS, ICML, and ACL and other top scientific conferences.

• Proficient in Python, TensorFlow, PyTorch, and other relevant machine learning frameworks.

• Experience optimizing machine learning workflows to run on GPUs.

• Previous experience with power systems, a plus.

• Willing and able to travel 25-50% (to offices in Orlando, if not local, and as needed for business).

• 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.

About the Team

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. We provide the power to bring heat and light to our cities. We help our customers to save millions of tons of CO2 each year. That way we not only contribute, but actively drive the energy revolution for a better and greener future.

The Grid Technologies AI Lab is a new research laboratory, focused solely on exploring and testing new AI technologies for power systems.

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

• Career growth and development opportunities

• Supportive work culture and a healthy work- life balance

• Flexible work environment with flex hours, telecommuting and digital workspaces.

• Competitive total rewards package

• Flexible benefits and savings programs

• Rewarding vacation entitlement with the opportunity to buy and sell vacation

• Parental leave

• Profit sharing

• Contribute to our social responsibility initiatives

• Diversity and inclusivity focused

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Equal Employment Opportunity Statement

Siemens Energy is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local

law.