Explore an exciting opportunity as a RWE in Bellevue, WA. This Full-time role is ideal for professionals interested in the Utilities sector and offers hands-on experience in the Other department .
Rated 4.4/5 by employees, this opening is perfect for candidates at the Mid-Senior level level. Posted 8 hours ago, and still accepting applications — don’t miss out.
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“RWE” Company Job Details
- Company Name: RWE
- Work Type: Full-time
- Rating: 4.4 / 5
- Location: Bellevue, WA
- Industry: Utilities
- Department: Other
- Experience Level: Mid-Senior level
- Job Creation Duration: 8 hours ago
Machine Learning Scientist Job Overview
RWE Supply & Trading Americas, LLC
To start as soon as possible, fulltime, permanent
Your future plans
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 an experienced
Machine Learning Scientist with a strong mathematical and research background in diffusion models, transformerbased 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. RWE is the third-largest producer of wind power in the world, so you will have a material impact on renewable energy production across the globe.
If you’re passionate about building state-of-the-art production machine learning models and thrive in a fast-paced, collaborative environment, we’d love to hear from you!
Responsibilities:
- Experiment, design, develop, and implement novel neural network architectures
- Collaborate with domain experts to ensure models meet the requirements 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 and 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
- 5+ years of relevant industry experience with a focus on machine learning research and application
- Ph.D. in Computer Science, Mathematics, Statistics, or a related field. Alternatively, a Master’s degree with significant industry experience
- Deep understanding of neural network fundamentals, including transformer-based architectures (including but not limited to LLMs), foundation models, and reinforcement learning
- Firm grasp on using PyTorch to design novel neural network layers, embeddings, and physics informed loss functions in large-scale models
- Thorough understanding of PDEs, numerical methods, tensor calculus, linear algebra, nonlinear dynamics, applied statistics with a focus on Bayesian stats, skewed distributions, and tail end events
- Experience with multi-modal datasets and models
- Experience with cloud computing platforms such as AWS, Azure, or GCP
- Strong passion for innovation and keeping up-to-date with the latest research in AI methods
- Exceptional 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
- Proficiency in Nvidia GPU frameworks (CUDA, cuDNN, TensorRT, NCCL) and HPC technologies
- Publication record in AI conferences (e.g., NeurIPS, ICML, Gordon) and journals
- Expertise working with large geospatial weather and climate datasets as well as the Pangeo stack
- Experience using JAX/Tensorflow and generative AI
- Experience in deploying machine learning models in production using containerization and orchestration tools (e.g., Docker, Kubernetes)
- 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
- Salary: $130,000 – $200,000
- Bonus: performance based
rwe.com/career
Any questions? Patrycja Bartela (Recruiting), E: Patrycja.Bartela@rwe.com
Apply now with just a few clicks: ad code 90063
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.
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