Machine Learning Research Intern

Key Skills

AWS, Azure, Large Language Models - LLMs, Natural Language Processing (NLP), R Programming, Tableau

Job Description

About Valence Labs

Valence Labs is a research and productization engine within Recursion dedicated to advancing the frontier of AI in drug discovery. Combining the intellectual freedom of academia with the resources and stability of industry, we develop novel AI technologies to spearhead a fundamental shift in the way we discover and develop treatments for complex disease. Our research is driven by optimism, purpose, and a shared vision for a healthier tomorrow. We publish in top journals and conferences, are deeply committed to open-science and open- source, and maintain some of the largest and most active research communities in our industry. Our team is headquartered in Montreal, where we share close connections with Mila, the world’s largest deep learning research institute.

The Impact You’ll Make

You will be working alongside a team of Machine Learning Research Scientists and you will be involved in developing new learning algorithms that help us efficiently discover new biological and chemical relationships. In this role, you will:

• Implement, train and optimize deep learning models.
• Quantitatively and qualitatively evaluate models and embeddings
• Collaborate with other ML researchers to more fully utilize our growing data universe and thereby expand the applicability and utility of our maps of biology.

Location:

This position is based at our offices in Montreal, housed at Mila - Quebec AI Institute, the largest AI institute in the world.

The Experience You’ll Need

• Currently enrolled in or recent graduate from a Masters or PhD program
• Relevant experience as a researcher, including internships, full-time, or at a lab
• Experience contributing research to machine learning communities, including publishing papers in major conferences or journals (e.g. ICML, NeurIPS, ICLR, CVPR, ICCV and associated workshops)
• Outstanding past projects, publications, and presentations, and a demonstrated ability to communicate results
• Experience using modern technologies to accelerate machine learning
• Experience with data issued from biological or chemical experiments is a plus

How You’ll be Supported

You’ll work closely with our Research Scientists, with regular 1:1s that provide opportunities for support and feedback, and a collaborative work environment.