Senior Data Scientist, Security and Networking Research

3 Months ago • 5 Years + • Artificial Intelligence

Job Summary

Job Description

NVIDIA seeks a Senior Data Scientist to join its Security and Networking research team. The role involves developing, implementing, and improving machine learning models for various media types (time series, images, text, audio, video). Responsibilities include optimizing models for performance and scalability, creating efficient pipelines for training and feedback, and collaborating with engineering teams. The ideal candidate possesses a strong background in deep learning, experience with large-scale production systems, and familiarity with inference optimization techniques. Experience with generative models, agents, and RAG is a plus. The position requires excellent programming skills in Python and a deep understanding of machine learning algorithms.
Must have:
  • MS/PhD in relevant field (Deep Learning/ML focus)
  • 5+ years deep learning experience in production
  • Excellent Python programming skills
  • Experience with TensorFlow/PyTorch
  • Large-scale system/pipeline experience
  • Algorithm development and inference optimization
  • Zero/few-shot learning, self-supervised learning
Good to have:
  • Strong software development experience
  • CUDA, CuDNN, TensorRT familiarity
  • Experience with Spark, Hadoop, SQL/NoSQL databases
  • Security and networking background

Job Details

We're looking for a Senior Data Scientist to join a group that specializes in Security and Networking, in relation to ML/AI development. As a Senior Data Scientist you’ll have the opportunity to take an active part in the research and development of NVIDIA’s world-class networking and data center products. This role involves creative problem solving alongside engineering teams, and is key for the continued success of AI networking security.

What you’ll be doing:

  • Developing, implementing and improving models and algorithms across media types, whether time series, images, text, audio or video. 

  • Leveraging data pipelines to efficiently process and transform large volumes of data for training and inference purposes.

  • Optimizing and fine-tuning models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.

  • Creating efficient pipelines for model training, feedback and improvement.

  • Applying alignment techniques and parameter efficient fine-tuning to improve model performance.

  • Measuring and benchmarking model and application performance to drive improvements.

  • Driving the gathering, building, and annotation of domain specific datasets for benchmarking and training. 

  • Collaborating closely with software and hardware engineers on new features and improvements. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews.

What we need to see:

  • MS/PhD with expertise in Computer Science, Computer Engineering, Electrical Engineering or related field with a focus on Deep Learning or Machine Learning.

  • 5+ years of experience in deep learning and machine learning in a production environment.

  • Excellent programming skills in Python with software design fundamentals.

  • Hands-on experience with deep learning development frameworks and libraries (e.g. TensorFlow, PyTorch).

  • Experience with large scale production systems and pipelines, with a track record of developing production-grade models

  • Strong algorithm development experience, with knowledge of inference optimization techniques such as model distillation, quantization, pruning.

  • Experience with algorithms including zero/few-shot learning, self-supervised and unsupervised learning and generative AI models for synthetic data creation.

  • Experience with generative models, agents and RAG (including vector databases and reranking algorithms).

  • You are proactive, take full ownership of your deliverables, have a can-do approach, and are excited to learn, explore and apply your skills and creativity to some of the most challenging and rewarding problems in the field.

Ways to stand out from the crowd:

  • Strong software development experience

  • Familiarity with GPU based technologies like CUDA, CuDNN and TensorRT.

  • Experience with tools for data processing and storage (e.g. Apache Spark, Hadoop, SQL databases, NoSQL databases). 

  • Security and networking background, with knowledge of security protocols, network architectures, firewalls, intrusion detection systems, and other relevant security and networking concepts

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Similar Jobs

Canva - Senior Computer Vision Engineer - Photo AI

Canva

London, England, United Kingdom (Remote)
3 Months ago
Dream Sports - Lead ML Scientist

Dream Sports

Mumbai, Maharashtra, India (On-Site)
8 Months ago
Paypal - Senior Machine Learning Engineer

Paypal

San Jose, California, United States (Hybrid)
6 Months ago
Coursera - AI Specialist

Coursera

India (Remote)
2 Months ago
Whoop - Signal Processing Engineer II

Whoop

Boston, Massachusetts, United States (On-Site)
6 Months ago
Seedify - AI Product Manager

Seedify

(Remote)
3 Months ago
The Walt Disney Company - Principal Machine Learning Engineer, Research - Ad Platforms

The Walt Disney Company

San Francisco, California, United States (On-Site)
5 Months ago
ByteDance - Research Engineer- Foundation Model AI Platform- San Jose

ByteDance

San Jose, California, United States (On-Site)
5 Months ago
Inworld AI - Forward Deployed Engineer - Canada

Inworld AI

Vancouver, British Columbia, Canada (Remote)
6 Months ago
Zoox - Principal Machine Learning Engineer

Zoox

Foster City, California, United States (On-Site)
6 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Google - Software Engineer III, Machine Learning, Google Cloud Compute Infrastructure

Google

Sunnyvale, California, United States (On-Site)
5 Months ago
Axon - Axon AI - Senior Machine Learning Scientist I

Axon

Seattle, Washington, United States (Remote)
2 Months ago
DNEG - Head of Machine Learning

DNEG

London, England, United Kingdom (Remote)
2 Months ago
Thumbtack - Staff Software Engineer,  Machine Learning Infrastructure

Thumbtack

United States (Remote)
5 Months ago
Unity - Principal Machine Learning Engineer

Unity

San Francisco, California, United States (On-Site)
5 Months ago
Velotio Technologies - AI/ML Engineer

Velotio Technologies

India (Remote)
2 Months ago
Microsoft - Research Intern - AI Frontiers - Foundation Model Evaluation and Understanding

Microsoft

Redmond, Washington, United States (On-Site)
4 Months ago
N-iX - Senior Data Scientist (#2665)

N-iX

Ukraine (Remote)
4 Months ago
Canva - Staff Machine Learning Engineer - User Voice

Canva

Auckland, Auckland, New Zealand (Remote)
6 Months ago
Alphasense - Join AlphaSense Helsinki Talent Community!

Alphasense

Helsinki, Uusimaa, Finland (On-Site)
5 Months ago

Get notifed when new similar jobs are uploaded

Jobs in Yokne'am Illit, North District, Israel

SuperPlay - 2D TEAM LEAD

SuperPlay

Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)
5 Months ago
Ilyon - Illustrator

Ilyon

Rosh Haayin, Center District, Israel (On-Site)
4 Months ago
Playtika - Product Manager - Marketing

Playtika

Israel (On-Site)
4 Months ago
PAPAYA - Monetization Illustrator

PAPAYA

Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)
3 Months ago
PAPAYA - Unity Developer (Wildcard)

PAPAYA

Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)
1 Month ago
Anzuio - Controller

Anzuio

Tel Aviv District, Israel (Hybrid)
2 Months ago
NVIDIA - Senior Security Engineer

NVIDIA

Yokne'am Illit, North District, Israel (On-Site)
1 Month ago
Playtika - Experienced Data Scientist

Playtika

Israel (On-Site)
2 Months ago
NVIDIA - Senior C++ Software Engineer

NVIDIA

Ra'anana, Center District, Israel (On-Site)
3 Months ago
PLAYSTUDIOS - Games Product Manager

PLAYSTUDIOS

Tel Aviv District, Israel (On-Site)
2 Months ago

Get notifed when new similar jobs are uploaded

Artificial Intelligence Jobs

Meta - Software Engineer, Machine Learning

Meta

Fremont, California, United States (Remote)
5 Months ago
Scale AI - Software Engineer, GenAI Model Evaluation

Scale AI

San Francisco, California, United States (Hybrid)
6 Months ago
NVIDIA - Customer Program Manager

NVIDIA

Santa Clara, California, United States (On-Site)
3 Months ago
Codeway - AI Product Engineer

Codeway

İstanbul, Türkiye (On-Site)
2 Months ago
N-iX - Senior Data Scientist (#2665)

N-iX

Ukraine (Remote)
4 Months ago
NVIDIA - Solutions Architect, Cloud Providers and Hyperscale

NVIDIA

Santa Clara, California, United States (Remote)
3 Months ago
Ubisoft - Scientifique principal en données ML _ Groupe Technologique Content Creation

Ubisoft

Montreal, Quebec, Canada (On-Site)
3 Months ago
NVIDIA - Research Scientist, Generative AI for Physical AI - New College Grad 2025

NVIDIA

Santa Clara, California, United States (On-Site)
3 Months ago
Vigaet - Internship -AI Agents

Vigaet

(Remote)
5 Months ago
Microsoft - Senior Researcher – Artificial Intelligence

Microsoft

Redmond, Washington, United States (On-Site)
3 Months ago

Get notifed when new similar jobs are uploaded

About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

Massachusetts, United States (On-Site)

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

Texas, United States (On-Site)

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (Hybrid)

Santa Clara, California, United States (Hybrid)

View All Jobs

Get notified when new jobs are added by NVIDIA

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug