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Machine Learning Scientist

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RWE

23d ago

  • Job
    Full-time
    Senior Level
  • Data
    Research & Development
  • Bellevue

AI generated summary

  • You need 5+ years in ML, a Ph.D. or relevant Master's, deep neural network knowledge, PyTorch skills, PDEs, cloud experience, and strong communication for cross-functional teamwork.
  • You will design and implement neural networks, collaborate with experts, integrate models into pipelines, develop reusable components, stay updated on advancements, and contribute to the research community.

Requirements

  • 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

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

FAQs

What is the primary focus of the Machine Learning Scientist role at RWE Supply & Trading?

The primary focus is to explore creative applications of AI methods to challenges in the renewable energy industry, particularly in building industry-leading AI models.

What qualifications are required for this position?

The role requires a Ph.D. in Computer Science, Mathematics, Statistics, or a related field, or a Master's degree with significant industry experience, along with 5+ years of relevant industry experience.

What type of machine learning models will the scientist be working on?

The scientist will work on novel neural network architectures, including diffusion models, transformer-based models, and other advanced AI techniques.

Is experience in the energy sector or climate science necessary for this role?

While domain expertise in meteorology, climate science, or the energy sector is advantageous, it is not a strict requirement for the position.

What programming frameworks and tools are expected to be used in this role?

Proficiency in PyTorch is required, and familiarity with Nvidia GPU frameworks, cloud computing platforms (such as AWS, Azure, or GCP), and containerization/orchestration tools (like Docker and Kubernetes) is beneficial.

Are there opportunities for professional development in this position?

Yes, RWE Supply & Trading values employee development and offers excellent development prospects along with competitive benefits.

What is the salary range for the Machine Learning Scientist position?

The salary range for this position is $130,000 - $200,000, with performance-based bonuses.

Will relocation assistance be provided for candidates moving to Seattle?

Yes, relocation expenses will be covered for candidates moving to the greater Seattle area.

How does RWE Supply & Trading support its employees' well-being?

RWE aims to create a supportive and inclusive work environment, recognizing the importance of life-work integration and offering a range of competitive benefits.

Is prior experience in deploying machine learning models in production desirable for this role?

Yes, experience in deploying machine learning models using containerization and orchestration tools is desirable but not required.

What are the key skills and qualities RWE is looking for in a candidate for this role?

RWE values passion for innovation, collaboration, diverse backgrounds, a willingness to learn, and a determined work ethic.

How can interested candidates apply for this position?

Interested candidates can apply by following the application link provided in the job posting and using the ad code 90063.

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RWE

Our energy for a sustainable life.

Energy
Industry
10,001+
Employees

Mission & Purpose

RWE is leading the way to a green energy world. With an extensive investment and growth strategy, the company will expand its powerful, green generation capacity to 50 gigawatts internationally by 2030. RWE is investing €50 billion gross for this purpose in this decade. The portfolio is based on offshore and onshore wind, solar, hydrogen, batteries, biomass and gas. RWE Supply & Trading provides tailored energy solutions for large customers. RWE has locations in the attractive markets of Europe, North America and the Asia-Pacific region. The company is responsibly phasing out nuclear energy and coal. Government-mandated phaseout roadmaps have been defined for both of these energy sources. RWE employs around 19,000 people worldwide and has a clear target: to get to net zero by 2040. On its way there, the company has set itself ambitious targets for all activities that cause greenhouse gas emissions. The Science Based Targets initiative has confirmed that these emission reduction targets are in line with the Paris Agreement. Very much in the spirit of the company’s purpose: Our energy for a sustainable life.