Deep Learning Scientist, AI Safety at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Artificial IntelligenceIndustries

Requirements

  • Master’s or PhD in Computer Science, Electrical Engineering or related field or equivalent experience
  • 3+ years of work experience in developing and deploying machine learning models in production
  • Strong understanding of machine learning principles and algorithms
  • Hands-on programming experience in Python and in-depth knowledge of machine learning frameworks like Keras or PyTorch
  • Experience with one or more of the following broader areas for 2+ years: Content Safety, ML Fairness, Robustness, AI Model Security, or related areas
  • Background with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas
  • Experience working with large multi-modal datasets and multi-modal models
  • Good at problem solving and analytical ability
  • Excellent collaboration and communication skills
  • Demonstrates behaviors that build trust: humility, transparency, respect, intellectual honesty

Responsibilities

  • Develop the datasets and models for training and evaluating models and end-to-end systems for Content Safety and ML Fairness
  • Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems using LLMs like RAGs
  • Define and track key metrics for responsible LLM behavior and usage
  • Follow the best MLOps practices of automation, monitoring, scale, safety
  • Contribute to the MLOps platform and develop safety tools to help ML teams be more effective
  • Collaborate with other engineers, data scientists, and researchers to develop and implement solutions to content safety and ML fairness challenges

Skills

Deep Learning
LLMs
Machine Learning
MLOps
Bias Detection
Bias Mitigation
Content Safety
ML Fairness
Robustness
RAG
Generative Models
Datasets

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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