At Hyperscience, ML Backend Engineers are the catalyst that enables the lifecycle of ML models, from data and training pipelines to platform integration. We tackle a diverse range of technical challenges, including optimizing ML algorithms for real-world performance, scaling ML pipelines, and ensuring the seamless integration of our ML models with various products and services.
Our teams at Hyperscience operate within cross-functional squads, each owning their domain and driving their roadmaps through a combination of bottom-up autonomy and top-down alignment. We seek individuals who are eager to contribute their ideas to help enhance our technology organization and those who thrive in a supportive environment that encourages direct collaboration with teammates.
This is a pivotal moment for Hyperscience's product, business, and people! As a member of our team, you will have the opportunity to influence and deliver on an ambitious vision that aims to transform the way organizations execute their business processes. Along the way, you will encounter numerous opportunities to advance and shape your career.
As a Senior ML Backend Engineer, you will:
- Develop cutting-edge ML pipelines to accelerate research and delivery of cutting-edge Machine Learning models which empower our customers to automate complex processes, drive efficiency, and unlock new capabilities.
- Collaborate cross-functionally with Product Managers, Designers, and other engineers in Machine Learning, Front-End/Full Stack, DevOps, and QA.
- Contribute across the entire software development lifecycle, including requirements definition, design, development, testing, deployment, and operations.
- Ensure product quality and code quality by writing automated tests and performing thorough code reviews and design reviews.