Senior Data Scientist at NVIDIA

Taipei, Taiwan

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

Requirements

  • BS or MS in Computer Science, Artificial Intelligence, or equivalent experience
  • 6+ years of demonstrable experience in AI / ML
  • Expertise in the full lifecycle of AI model development, from training to real-world production deployment, with a deep understanding of machine learning algorithms
  • Proficient in developing sophisticated agentic applications, especially those using RAG architecture or MCP protocol
  • Comprehensive knowledge and hands-on experience with various ML strategies (Regression, Classification, Clusterization), understanding their principles and optimal use
  • Proven track record in designing, implementing, and maintaining robust, scalable distributed systems for large data and computational demands
  • Strong ability to clearly articulate complex technical concepts to diverse audiences and collaborate effectively
  • Highly proficient in spoken and written English for international professional communication
  • Self-motivated, takes initiative, owns tasks, delivers high-quality results, and meets deadlines consistently

Responsibilities

  • Developing a high-performance, highly available real-time analytics system for both internal teams and external partners
  • Designing and building various services and agentic applications utilizing diverse AI models and machine learning techniques to address challenges in GPU server manufacturing
  • Continuously improving AI/ML model performance through ongoing finetuning or training
  • Participating in planning and design meetings with stakeholders, offering professional suggestions, and consistently tracking follow-up actions

Skills

AI
Machine Learning
RAG
MCP
Regression
Classification
Clustering
Distributed Systems
Real-time Analytics
Model Training
Model Deployment
Fine-tuning
Agentic Applications

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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