Research Intern, Artificial Intelligence

Key Skills

AI technology, Data science techniques, Deep Learning, High performance computing- HPC, Machine learning techniques, Python Programming, PyTorch, Quantitative models

Job Description

Research Intern, Artificial Intelligence role at New York City- AAIR Lab

The salary range for this position is $7,000 - $9,500/month. Pay offered may vary considerably depending on job-related knowledge, skills, and experience, with an emphasis in machine learning, engineering, and modeling expertise.

Absci is seeking multiple Research Interns in the areas of artificial intelligence, machine learning, and protein design to join our world-class Artificial Intelligence (AI) team and advance generative models for protein drug design. As a Research Intern, you will develop advanced machine learning techniques that will be deployed for the creation of lifesaving drugs. We are looking for people who can draw on significant expertise in deep learning or related disciplines such as natural language processing, protein design, and computer vision, to develop innovative models that can learn from and generate new proteins.

Our interns have an opportunity to make advancements in generative modeling & protein design, and collaborate with Absci’s synthetic biology teams to test their models in the wet-lab. Interns at Absci either contribute to our main research directions or lead an independent research program under the supervision of an Absci AI Scientist. Interns may have the opportunity to publish their work in top tier conferences or journals.

This position is based in New York City, but remote work may be considered. Applicants are expected to be pursuing a PhD in one of the areas above; outstanding Masters or undergraduate students may also be considered.

Responsibilities:

• Perform research to design and evaluate generative models for protein design
• Develop better sampling techniques for designing diverse proteins
• Collaborate with data scientists and wet-lab biologists on the design and integration of wet-lab experiments
• Contribute code to a highly collaborative codebase and launch training jobs on our in-house A100-based supercomputer

Minimum Qualifications:

• Currently has, or is in the process of obtaining, a PhD, Masters, or BS in Machine Learning, protein design, or a related field
• Demonstrated experience contributing to complex deep learning codebases in PyTorch or related platforms.
• Ability to think unconventionally to derive creative and innovative solutions
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:

• Strong publication record at top machine learning venues and/or scientific journals
• Experience working on GPU-based HPC supercomputing cluster or similar cloud computing platforms
• Demonstrated experience communicating research results in a clear manner
• Possess a passion and ability to craft and pursue an independent research program
• Experience solving analytical problems using quantitative approaches