Senior Research Engineer - Enterprise Products
NVIDIASalary not specified
- Full Time
- Senior (5 to 8 years)
$360,000 – $530,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Quantitative FinanceIndustries
Requirements
Candidates should have a background in statistical machine learning, physics, mathematics, or another theoretically and empirically rigorous field. Alternatively, a strong track record in deep learning research demonstrating expert knowledge of deep learning algorithms is required. Proficiency in programming and the ability to implement novel deep learning algorithms correctly and autonomously is essential. A value for principled approaches and simple experiments in tightly-controlled settings is also important.
Responsibilities
As a Research Scientist, you will conduct investigations and develop theories that predict algorithmic scaling behavior. You will build and apply theoretically-grounded intuitions, design and execute experiments, and think deeply about hyperparameters to deliver improvements across all aspects of our algorithms.
Skills
Deep Learning
Algorithmic Scaling
Statistical Machine Learning
Physics
Mathematics
Hyperparameter Tuning
Experiment Design
Deep Neural Networks
Data Analysis
OpenAI
Develops safe and beneficial AI technologies
About OpenAI
OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.
San Francisco, CaliforniaHeadquarters
2015Year Founded
$18,433.2MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
1,001-5,000Employees