Senior Data Scientist at NVIDIA

Taipei, Taiwan

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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

Key technologies and capabilities for this role

AIMachine LearningRAGMCPRegressionClassificationClusteringDistributed SystemsReal-time AnalyticsModel TrainingModel DeploymentFine-tuningAgentic Applications

Questions & Answers

Common questions about this position

What compensation and benefits does NVIDIA offer for this Senior Data Scientist role?

NVIDIA offers competitive salaries and a generous benefits package.

Is this Senior Data Scientist position remote or does it require office work?

This information is not specified in the job description.

What are the key required skills for the Senior Data Scientist role?

Candidates need 6+ years of AI/ML experience, expertise in the full lifecycle of AI model development, proficiency in agentic applications using RAG or MCP, knowledge of ML strategies like Regression and Classification, and experience with scalable distributed systems.

What is the company culture like at NVIDIA for this team?

NVIDIA values brilliant and talented people, creativity, autonomy, and a love for challenges, while being an equal opportunity employer that values diversity.

What makes a candidate stand out for this Senior Data Scientist position?

Stand out with proficiency in Python, R, or C/C++, Linux experience, familiarity with data science libraries like PyTorch and scikit-learn, SQL skills, and knowledge of various database systems.

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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