✨ About The Role
- The Senior Machine Learning Engineer will be responsible for researching and implementing new ideas to enhance machine learning models.
- The role involves solving complex problems that bridge machine learning theory with real-world applications.
- Responsibilities include optimizing training and inference runtime, performance, and cost of machine learning models.
- The engineer will develop profiling and monitoring tools to oversee production performance.
- The position requires a deep understanding of the entire machine learning stack and the ability to work across various aspects of the technology.
⚡ Requirements
- The ideal candidate will have over three years of experience applying machine learning to physical, real-world applications in a production environment.
- Strong problem-solving abilities in the machine learning space are essential for success in this role.
- Experience with advanced machine learning techniques such as Reinforcement Learning, Recurrent Neural Networks, and Time-Series Forecasting is highly desirable.
- A strong coding background, particularly with JAX or other leading ML frameworks in Python, is required.
- The candidate should possess a mission-driven and collaborative attitude, aligning with the company's focus on climate change solutions.