AddressRWE Supply & Trading Americas, LLC
To start as soon as possible, fulltime, permanent
Your future plans
We are building our core AI 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 Machine Learning Scientist with a strong research background in diffusion models, generative models, or related areas.
As a formative member of our research and development team, you will be responsible for pushing the boundaries of 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. RWE is the third-largest producer of wind power in the world, so you will have impact on renewable energy production across the globe. Your passion for research, cutting edge advancements in AI and Machine Learning, and devising creative and novel methods will be essential for the team as we tackle a diverse array of problems in a rapidly changing landscape.
If you are passionate about Machine Learning research, driving innovation, and having an impact in the renewable energy space and thrive in a fast-paced, collaborative environment, we would love to hear from you! Your responsibilities will include:
- 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
- Ph.D. or Master’s degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field and 3+ years of relevant industry experience
- Proven track record of research and publications in Machine Learning, particularly in the areas of diffusion models, generative models, NLP, or related topics.
- Solid understanding of neural network fundamentals, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and attention mechanisms.
- Strong mathematical background, including proficiency in linear algebra, probability theory, and optimization.
- Proficiency in programming languages such as Python and Julia, and experience with developing large scale models using Machine Learning packages (e.g., PyTorch, TensorFlow, Jax).
- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
- Experience with deploying Machine Learning models in production using containerization and orchestration tools (e.g., Docker, Kubernetes)
- Familiarity with version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure-as-code tools
- A passion for innovation and staying abreast of the latest research in AI methods relevant to our work in the Lab
- Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and contribute to a positive team climate
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
What we value most is passion, collaboration, diversity of backgrounds and expertise, willingness to learn and innovate, and a determined and resilient work ethic. Even if you think you do not yet display all the skills above, we would still like to hear from you.
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:
- Task oriented and hybrid working model
- Diverse and multicultural team in a highly dynamic and rapidly growing business
- Relocation expenses for moving to the greater Seattle area if you are not already local
rwe.com/career
Any questions? Patrycja Bartela (Recruiting), M: +1 773 459 475
Apply now with just a few clicks: ad code 87208
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.
