RWE AG
Senior Machine Learning Scientist
RWE AG, Bellevue, Washington, us, 98009
RWE Supply & Trading Americas, LLCTo start as soon as possible, fulltime, permanentWe 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 modelsCollaborate with domain experts to ensure that models meet the requirements and constraints of targeted applicationsCollaborate closely with data scientists, software engineers and machine learning engineers to integrate models into scalable pipelinesStay abreast of the latest advancements in machine learning technologies, cloud services, and software engineering best practicesDevelop reusable components, libraries, and frameworks to enable experimentation with different algorithms and to assess the performance and robustness of machine learning modelsContribute to research advances in the broader community via conference presentations, publications, open source code and/or blog postsContribute to a team culture where diverse viewpoints, backgrounds and expertise are welcomed7+ years of relevant industry experience with a focus on machine learning research and applicationExtensive 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 experienceAdvantageous, but not a must
Domain expertise in meteorology, climate science or the energy sectorExperience 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 technologiesExperience with Google Cloud Platform MLOps tools (e.g., Vertex AI)Publication record in AI conferences (e.g., NeurIPS, ICML) and journalsOur 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 environmentUsing cutting edge technology to solve challenging mattersContribution to the company goals of energy transitionHybrid working model with 3 days in the office to foster collaboration and teamworkDiverse and multicultural team in a highly dynamic and rapidly growing businessApply now with just a few clicks:
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87483We 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.
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Experiment, design, develop, and implement novel neural network architectures to build state-of-the-art diffusion models and generative modelsCollaborate with domain experts to ensure that models meet the requirements and constraints of targeted applicationsCollaborate closely with data scientists, software engineers and machine learning engineers to integrate models into scalable pipelinesStay abreast of the latest advancements in machine learning technologies, cloud services, and software engineering best practicesDevelop reusable components, libraries, and frameworks to enable experimentation with different algorithms and to assess the performance and robustness of machine learning modelsContribute to research advances in the broader community via conference presentations, publications, open source code and/or blog postsContribute to a team culture where diverse viewpoints, backgrounds and expertise are welcomed7+ years of relevant industry experience with a focus on machine learning research and applicationExtensive 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 experienceAdvantageous, but not a must
Domain expertise in meteorology, climate science or the energy sectorExperience 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 technologiesExperience with Google Cloud Platform MLOps tools (e.g., Vertex AI)Publication record in AI conferences (e.g., NeurIPS, ICML) and journalsOur 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 environmentUsing cutting edge technology to solve challenging mattersContribution to the company goals of energy transitionHybrid working model with 3 days in the office to foster collaboration and teamworkDiverse and multicultural team in a highly dynamic and rapidly growing businessApply now with just a few clicks:
ad code
87483We 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.
#J-18808-Ljbffr