
Senior Machine Learning Engineer – Chemistry, Materials Science
NVIDIA
full-time
Posted on:
Location Type: Remote
Location: California • United States
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Salary
💰 $152,000 - $287,500 per year
Job Level
About the role
- Work with some of the brightest minds in a leading AI company to develop leading machine learning frameworks including NVIDIA PhysicsNeMo and ALCHEMI used by our academic and industry partners to accelerate scientific discovery and solve real world problems at scale
- Work with internal project teams to validate applications built using the framework across NVIDIA's products
- Stay up to date with the latest research and innovations in deep learning techniques, implement and experiment with new ideas to develop and enhance NVIDIA's deep learning technologies that couple physical simulations with AI/ML models
Requirements
- BS or MS degree (PhD preferred) in computer science, mathematics, computational chemistry/materials science, physical chemistry or related technical field or equivalent experience
- 5+ yrs of relevant experience
- Strong Python programming skills
- Familiarity with containers, continuous integration/continuous development, numeric libraries, modular software design, and collaborative programming/engineering
- Good understanding and intuition for state-of-the-art AI/ML architectures and techniques including but not limited to geometric deep learning, Euclidean neural networks, diffusion/flow matching
- Familiarity across the AI framework ecosystem: e.g. PyTorch, PyTorch Geometric, Jax, Flax
- Experience across the AI/ML model lifecycle: from dataset curation to training techniques, to inference deployment and performance optimization
- Proven track record of applying AI/ML techniques to solve real world problems in chemistry and materials science: e.g. surrogate interatomic potentials, inverse design, crystal structure prediction, experimental characterization
- Strong analytical skills with bias for action.
- Good time management and organization skills to thrive in a fast paced, dynamic environment
- Solid written and oral communications skills.
- Good teamwork and interpersonal skills.
Benefits
- Equity
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Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythondeep learningAI/ML architecturesgeometric deep learningEuclidean neural networksdiffusion matchingPyTorchJaxFlaxdataset curation
Soft Skills
analytical skillstime managementorganization skillscommunication skillsteamworkinterpersonal skillsbias for action