RWE Supply & Trading Americas, LLC
To start as soon as possible, fulltime, permanent

We are building our core AI Weather Lab team to explore creative applications of AI methods to challenges in the renewable energy industry.  To help us innovate and build industry-leading AI models, we are seeking a highly motivated Senior Machine Learning Scientist with a strong research background in diffusion models, generative models, or related areas.  

As a key member of our research and development team, you will lead efforts to advance machine learning techniques to solve complex problems for renewable energy applications. You will work with senior scientists and engineers from a variety of fields in the lab to identify and prioritize research plans for AI-based tools targeting specific applications in renewable energy. Your expertise in research, cutting edge AI technologies and machine learning along with your creative problem-solving skills will be essential for the team as we tackle a diverse array of challenges in a rapidly changing landscape. 

Your future plans

• Experiment, design, develop, and implement novel neural network architectures to build state-of-the-art diffusion models and generative models
• Collaborate with domain experts to ensure that models meet the requirements and constraints of targeted applications
• Collaborate closely with data scientists, software engineers and machine learning engineers to integrate models into scalable pipelines
• Stay abreast of the latest advancements in machine learning technologies, cloud services, and software engineering best practices
• Develop reusable components, libraries, and frameworks to enable experimentation with different algorithms and to assess the performance and robustness of machine learning models
• Contribute to research advances in the broader community via conference presentations, publications, open source code and/or blog posts
• Contribute to a team culture where diverse viewpoints, backgrounds and expertise are welcomed

Your powerful skills

• 7+ years of relevant industry experience with a focus on machine learning research and application
• Extensive track record of research and publications in machine learning, especially in areas such as diffusion models, generative models, NLP, or closely related topics.
• Deep understanding of neural network fundamentals, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and attention mechanisms.
• Strong mathematical background with expertise in linear algebra, probability theory, and optimization techniques.
• Proficiency in programming languages such as Python and Julia, with substantial experience in developing large-scale models using machine learning packages (e.g., PyTorch, TensorFlow, Jax).
• Extensive experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
• Proven experience in deploying machine learning models in production using containerization and orchestration tools (e.g., Docker, Kubernetes).
• Good familiarity with version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure-as-code tools.
• Strong passion for innovation and keeping up-to-date with the latest research in AI methods relevant to our work in the Lab.
• Exceptional communication and collaboration skills, with the ability to work effectively in cross-functional teams and contribute to a positive team climate.
• Ph.D. in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field. Alternatively, a Master’s degree with significant industry experience

Advantageous, but not a must

• Domain expertise in meteorology, climate science or the energy sector  
• Experience with distributed systems, parallel computing, and GPU acceleration is a plus. 
• Proficiency in database technologies for data storage and retrieval (e.g., PostgreSQL, MongoDB, BigQuery) 
• Proficiency in Nvidia GPU frameworks (CUDA, cuDNN, TensorRT, NCCL) and HPC technologies 
• Experience with Google Cloud Platform MLOps tools (e.g., Vertex AI) 
• Publication record in AI conferences (e.g., NeurIPS, ICML) and journals 

Our offer

We really appreciate you going the extra mile and using every ounce of energy when the heat is on. That’s why we want to make your time with us as enjoyable as possible. At RWE Supply & Trading we value our employees and strive to create a supportive and inclusive work environment. With a range of competitive benefits, we not only offer excellent development prospects and an attractive remuneration package, but also take care of your well-being and understand that life-work integration is essential. Also our offer includes the following perks:

• Dynamic of a start-up in a well established environment  
• Using cutting edge technology to solve challenging matters  
• Contribution to the company goals of energy transition  
• Hybrid working model with 3 days in the office to foster collaboration and teamwork  
• Diverse and multicultural team in a highly dynamic and rapidly growing business  

rwe.com/career

Any questions? Patrycja Bartela (Recruiting), E: Patrycja.Bartela@rwe.com

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We look forward to meeting you!

We value diversity and therefore welcome all applications, irrespective of sex, disability, nationality, ethnic and social background, religion and beliefs, age or sexual orientation and identity. Of course, you can find us on LinkedIn, Facebook, Twitter and Xing, too.

RWE Supply & Trading is the interface between RWE and the energy markets around the world. Around 2,000 employees from over 70 different countries trade electricity, gas, commodities and CO2 emission allowances. The trading entity also ensures the commercial optimisation of RWE’s power plant dispatch and markets electricity from RWE.