Senior Applied Research Scientist

Posted 4 Hours Ago
Be an Early Applicant
2 Locations
In-Office or Remote
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves designing and training machine learning models for drug discovery, mentoring team members, and engaging with the research community.
Summary Generated by Built In

The application of modern AI techniques to drug discovery, is radically redefining the field. Genomics, proteomics, molecular dynamics, docking, and protein folding are just some of the areas that are affected. NVIDIA is building an outstanding team to invent the future of foundation models for life sciences.  We are seeking senior research scientists and engineers to push the frontier of large-scale foundation models that natively speak the language of cells, biology, and chemistry.  The ideal candidate has a strong background in the combination of modern machine learning techniques as applied to drug discovery, genomics, proteomics, or medical chemistry.  This is a hands-on role for someone with deep technical expertise and a passion for advancing the state-of-the-art.

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

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 299,000 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 14, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

AI
C++
Deep Learning
Docking
Genomics
Llms
Machine Learning
Molecular Dynamics
Protein Folding
Proteomics
Python
Unsupervised Learning
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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