Machine Learning Infrastructure Engineer

Inceptive is at the forefront of revolutionizing medicine and biotechnology through the innovative application of machine learning to biological systems. As a Machine Learning Infrastructure Engineer, you'll join an antedisciplinary team working on groundbreaking RNA design problems with implications for billions of people.

The role combines deep technical expertise in ML infrastructure with the unique opportunity to work at the intersection of biology and computation. You'll be responsible for building and maintaining the crucial infrastructure that enables the development and deployment of generative models for RNA design. This includes creating robust systems for model training, data processing, and seamless integration with wet-lab biological assays.

What makes this role special is the company's unique approach to expertise and collaboration. At Inceptive, traditional titles are replaced with the term "Beginners," emphasizing the importance of continuous learning and cross-disciplinary knowledge. You'll work in an environment that values both deep technical knowledge and the ability to learn and apply concepts from other fields.

The compensation package is highly competitive ($135K – $240K + Bonus + Equity) and comes with comprehensive benefits including 30 days of vacation, health insurance, and significant learning and development opportunities. The company maintains offices in Berlin, Palo Alto, and Switzerland, offering a truly global perspective and the chance to collaborate with diverse teams worldwide.

This is an ideal role for a senior engineer who is passionate about building scalable ML systems and is excited by the prospect of applying their skills to solve complex biological challenges. The position offers the rare opportunity to work on cutting-edge technology while contributing to the development of potentially life-changing medical treatments.