Deep Learning Engineer
3 weeks ago
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
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