A Snapshot of your Day

As a Senior Machine Learning (ML) Engineer 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.

Preferred work location: Orlando, Florida (relocation assistance, if eligible)

How You’ll Make an Impact / Responsibilities

• 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.

What You Bring / skills, capabilities

• Bachelor's or Master’s Degree in Computer Science, Software Engineering, Artificial Intelligence, Simulation Science, or a related field, or equivalent experience.

• 5 or more years of 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. *Candidates with more experience can be considered for a higher level or vice-versa.

• 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 or Weights and Biases.

• Experience optimizing machine learning workflows to run on GPUs.

• Previous experience with power systems, a plus.

• 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.

Check out this video to learn more about 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

• Career growth and development opportunities

• Supportive work culture

• Company paid Health and wellness benefits

• Paid Time Off and paid holidays

• Savings Fund

• Above the law benefits

• Family building benefits

• Parental leave

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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.