RWE 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 software engineer with a strong background in designing and implementing production-grade pipelines for machine learning models.

As a key member of our engineering team, you will play a pivotal role in architecting, developing, and optimizing end-to-end pipelines that enable the deployment and scaling of advanced machine learning solutions in real-world applications. The successful candidate will play a critical role in developing and maintaining the tech stack of the lab and will work with senior scientists and engineers from a variety of fields. 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. We operate a hybrid model that requires employees to be in the office at least three days per week to foster collaboration and teamwork, while offering the flexibility to work remotely as applicable.

• Design, develop, and operate complex machine learning and multi-faceted data fusion pipelines in a production environment
• Collaborate closely with data scientists, machine learning engineers, and scientists to integrate machine learning models into scalable production systems
• Develop reusable components, libraries, and frameworks to streamline pipeline development and maintenance
• Optimize pipeline performance, reliability, and resource utilization
• Continually expand your knowledge of the latest advancements in machine learning technologies, cloud services, and software engineering best practices with an eye towards identifying and integrating exceptional new components into the AI lab's production repertoire
• Contribute to a team culture where diverse viewpoints, backgrounds and expertise are welcomed

• 2+ years of experience building, deploying, and monitoring complex pipelines that operate at an hours-level cadence
• Experience in large scale data processing and distributed systems such as Apache Spark
• Proficiency in Python, Julia, and/or Mojo
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
• Strong understanding of containerization technologies (Docker, Kubernetes) and orchestration tools
• Familiarity with version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines, and infrastructure-as-code tools
• Excellent problem-solving skills, attention to detail, and a passion for learning and innovation
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and contribute to a positive team climate

• Experience with stream processing frameworks (e.g., Apache Kafka, Apache Flink) for real-time data ingestion and processing
• Knowledge of serverless computing and event-driven architectures for building scalable and cost-effective pipelines
• Experience with Google Cloud Platform MLOps tools (e.g., Vertex AI)
• Familiarity with monitoring, logging, and debugging tools for distributed systems (e.g., Prometheus, ELK Stack)
• Proficiency in database technologies for data storage and retrieval (e.g., PostgreSQL, MongoDB, BigQuery)
• Understanding of security best practices for securing data pipelines
• Expertise working with large geospatial weather and climate datasets as well as the Pangeo stack

• 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: $120,000 - $170,000