Deep Learning Engineer (Internship & Full time)

We are looking for a Machine Learning Engineers committed to developing AI/ML methods in accelerating the discovery of novel functional materials, Reaction Language Models, and drug molecules. You will work closely with domain experts and academic advisors.

You will be a member of a multi-disciplinary team working in a fast-paced startup environment. If you are motivated on building revolutionary technologies and enjoy working on ambitious projects QpiVolta is the right place for you.

Qualifications and Experience

Background in Computer science, Physics, Chemistry, Mathematics, Statistics or a related field of knowledge

Develop tools and workflows that can be integrated into commercial software products

Work with customers on various machine learning-centric Materials Science research projects

Proficiency in Software development, collaborative development and python

Experience with version control, unit and functional testing, containerisation and orchestration.

In-depth understanding and hands-on experience in deep learning algorithms domains such as Graph Neural Networks, Transformers, Generative Models

Experience with Monte-Carlo tree search, genetic algorithms, and reinforcement learning, and experience with probabilistic models is a plus (e.g., Gaussian Processes, Bayesian Neural Networks)

Proficiency with deep learning frameworks (PyTorch is preferable, TensorFlow, JAX)

Basic knowledge of material science, molecular properties and/or chemical reactions cheminformatics and related libraries (e.g., RDKit, PyMAtgen)is a plus

Excellent oral and written communication, presentation, and analytical skills