Nvidia Senior Applied Research Scientist 

United States, Texas 

843091982

What you’ll be doing

• Designing and training large-scale machine learning models at the intersection of genomics, proteomics, and chemistry

• Experimental design for probing the capabilities and limitations of the foundation models that are developed

• Mentoring other team members, leading research initiatives, and helping to craft strategic roadmaps

• Working closely with hardware and software teams to improve NVIDIA’s platforms for large-scale foundation model applications

• Engaging with the broader research community via publications, presentations, and research collaborations

What we need to see:

• PhD (or equivalent experience) in Computer Science or Computational Biology

• 4+ years in deep learning, bioinformatics, chemical engineering, structural biology, or related fields.

• Track record of excellence in engineering and research

• Deep understanding of modern AI techniques: deep learning for sequences, diffusion models, LLMs, unsupervised learning. Hands-on practical know-how of how to design, train, and evaluate large neural networks.

• Excellent software engineering and design instincts in Python, C++, or similar.

• Outstanding expertise in biochemistry, drug discovery, molecular biology, chemical engineering, or related fields