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, Data & AnalyticsIndustries
Requirements
Candidates should have a background in statistical machine learning, physics, mathematics, or a related field with a strong emphasis on theoretical and empirical rigor. Alternatively, a proven track record in deep learning research demonstrating expert knowledge of deep learning algorithms is required. Candidates must value principled approaches and possess programming skills necessary for implementing novel deep learning algorithms autonomously.
Responsibilities
The Research Scientist will conduct investigations and develop theories predicting algorithmic scaling behavior. They will design and execute experiments, analyze hyperparameters, and implement improvements across all aspects of algorithms.
Skills
Statistical Machine Learning
Deep Learning
Deep Learning Algorithms
Experiment Design
Hyperparameter Tuning
Algorithmic Scaling
Data Analysis
Programming
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