Senior Natural Language Processing Engineer at NVIDIA

Ho Chi Minh City, Vietnam

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Demonstrated expertise in Natural Language Processing (NLP) and machine learning, with an emphasis on the Vietnamese language
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
5+ years of experience in NLP or machine learning roles for senior positions, including leadership experience
Proficiency in Python and familiarity with TensorFlow or PyTorch
Strong analytical and problem-solving skills
Ability to work effectively in a collaborative team environment

Responsibilities

Develop and refine AI language models for various NLP tasks, including translation and sentiment analysis
Implement and integrate models across multiple language pairs, ensuring seamless integration within NVIDIA projects
Collaborate with multi-functional teams to ensure the successful deployment of NLP models
Continuously evaluate and improve model performance to maintain world-class standards

Skills

Key technologies and capabilities for this role

NLPMachine LearningPythonPyTorchTensorFlowTranslationSentiment AnalysisAI Models

Questions & Answers

Common questions about this position

What is the salary and benefits like for this role?

NVIDIA offers highly competitive salaries and a comprehensive benefits package. For more details, visit www.nvidiabenefits.com/.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What skills are required for the Senior NLP Engineer role?

Required skills include demonstrated expertise in NLP and machine learning with emphasis on Vietnamese, Bachelor's degree in Computer Science or related field, 5+ years of experience including leadership, proficiency in Python and TensorFlow or PyTorch, strong analytical and problem-solving skills, and ability to work in a collaborative team.

What is the company culture like at NVIDIA?

NVIDIA provides a diverse, supportive environment where everyone is inspired to do their best work, valuing diverse ideas and teamwork within a driven team dedicated to excellence and innovation.

What makes a candidate stand out for this position?

Candidates can stand out with proficiency in languages like Japanese, Korean, or Mandarin, practical knowledge of the NeMo Framework, and skills in technologies like Slurm and Kubernetes.

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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