October 22
• Working closely in a growing remote team, with daily pair programming • Bringing ML models from benchmarks to production to be used by energy and power traders • Designing, developing and deploying critical features such as data ingestion and machine learning inference pipelines, dashboards, APIs and client libraries • Prototyping new ideas or technologies with short feedback cycles • Developing and automating internal tools and CI/CD pipelines • Active participation in technical planning and product design
• Expertise in designing, building and supporting secure, scalable, public-facing distributed systems on cloud infrastructure • Proven track record of owning projects and driving progress forward • Experience and interest in building prototypes rapidly with uncertain requirements and short feedback cycles • The ability to make pragmatic, fast-paced decisions and manage technical debt effectively • A proactive approach to identifying problems, performance bottlenecks, and areas for improvement • Confident in using modern Python in a large-scale production system • Bachelor's degree or higher in Computer Science or a related field • 5+ years working in an Engineering role
• Exposure to cutting-edge machine learning techniques and technologies • The opportunity to work at a global company with biannual retreats in Europe • Be part of a team at the forefront of machine learning research and development • A chance to make a direct impact on the energy transition • As one of the first engineers, you'll play a significant role in shaping the product from the ground up
Apply NowApril 16
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