Pioneering Intelligence Machine Learning… at Metaphore… · Cambridge

What if... you could use AI to impact an entire ecosystem of life science companies?

COMPANY DESCRIPTION

Pioneering Intelligence (PI) is a Flagship initiative focused on developing and harnessing AI/ML based platforms for innovative applications in life sciences and beyond. We are looking for extraordinary computational scientists and engineers to work alongside our machine learning team to solve the most impactful challenges in AI for the life sciences.

Pioneering Intelligence builds on Flagship Pioneering’s legacy of founding cutting-edge science and computational ventures, harnessing recent advances in AI, machine learning, and data to accelerate fundamental research and create a portfolio of AI-first companies. As part of Flagship’s integrated model of science, entrepreneurship, and capital, it transforms breakthrough ideas into world-changing companies, elevating the AI advances happening across the ecosystem in human health, sustainability, and beyond.

 

The Role

Our Co-ops will work on challenging problems in machine learning and computational science for the life-sciences. They will work closely with a team of interdisciplinary scientists consisting of ML and domain experts to advance the state-of-the art in machine learning and contribute to our ongoing efforts. This is an exciting opportunity to be part of a fast-paced, highly dynamic entrepreneurial environment. We work on problems and use techniques like:

• Generative models for biomolecular design including flow matching, diffusion, and language models.
• Self-learning agentic systems.
• Biophysical simulation. 

Key Responsibilities:

• Work with an interdisciplinary team of scientists to build models, organize data and deliver computational solutions.
• Experiment with diverse datasets and novel techniques. 
• Communicate your work to a multi-disciplinary audience.

Basic Requirements:

• Fluency in Python and experience implementing deep learning methods with standard tools and packages (e.g., PyTorch, JAX).
• Readiness to deep dive into the biology/physics/chemistry of the platform companies we build

Preferred Requirements:

• Experience in CS, ML, Computational Chemistry, Computational Biology or a similar computational field.
• Experience with generative models, natural language processing, graphical neural networks, reinforcement learning, or similar.
• Familiarity with software development, including git and public cloud computing resources (e.g. AWS, GCP, Azure).