Senior Research Engineer - Enterprise Products
NVIDIASalary not specified
- Full Time
- Senior (5 to 8 years)
$310,000 – $550,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer Software, Enterprise SoftwareIndustries
Requirements
Candidates should possess a Master's or PhD degree in Computer Science, Machine Learning, Data Science, or a related field. Demonstrated experience in deep learning and transformer models is required, along with proficiency in frameworks like PyTorch or TensorFlow. A strong foundation in data structures, algorithms, and software engineering principles is essential. Familiarity with methods of training and fine-tuning large language models and excellent problem-solving skills are also necessary. The ability to work collaboratively with cross-functional teams and adapt in a fast-paced environment is important.
Responsibilities
As a Research Engineer, you will design and deploy advanced machine learning models to solve real-world problems. You will collaborate with researchers, software engineers, and product managers to deliver AI-powered solutions. Additionally, you will implement scalable data pipelines, optimize models for performance, and ensure they are production-ready. You will also engage with the latest developments in machine learning, participate in code reviews, and maintain high-quality engineering practices while monitoring deployed models for continued value delivery.
Skills
Deep Learning
Transformers
Machine Learning
Data Pipelines
Model Optimization
Model Deployment
Python
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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