NVIDIA

SeniorDataScientist

Tel Aviv, Israel FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Scientist at NVIDIA. Skills: Deep Learning, Machine Learning, Python, Agentic AI. Develop agentic AI systems. Automate threat analysis”

Industry & Context.

Problems you'll solve

creative problem solving; problem solving

What They're Looking For.

Must Have

MS/PhD, Computer Science, Computer Engineering, Electrical Engineering, Deep Learning, Machine Learning, 5+ years of experience in deep learning and machine learning in a production environment, Python programming skills, software design fundamentals, experience leveraging coding agents in development workflows, deep learning development frameworks and libraries, large scale production systems and pipelines, developing production-grade models, agentic AI systems, agent frameworks, evaluation of agent performance and reliability, algorithm development experience, inference optimization techniques, zero/few-shot learning, self-supervised and unsupervised learning, generative AI models for synthetic data creation, fine-tune / training LLM models

Nice to Have

software development experience, GPU based technologies, CUDA, CuDNN, TensorRT, tools for data processing and storage, Security and networking background, security protocols, network architectures, firewalls, intrusion detection systems

What You'll Do.

Develop agentic AI systems

Automate threat analysis

Automate response workflows

Optimize models for performance

Fine-tune models for performance

Develop models and algorithms

Implement models and algorithms

Improve models and algorithms

Leverage data pipelines

Process large volumes of data

Transform large volumes of data

Apply alignment techniques

Apply parameter efficient fine-tuning

Measure model performance

Measure application performance

Drive dataset gathering

Drive dataset building

Drive dataset annotation

How You'll Work.

Team & Collaboration

Collaborate closely with software engineers; Collaborate closely with hardware engineers; Participate in code reviews; Participate in design reviews; Participate in use case reviews; Participate in test plan reviews

Full Job Description

We're looking for a Senior Data Scientist to join the AI cybersecurity team in the Security and Networking Architecture group. 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 security 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 agentic AI systems for security, combining generative models, RAG, and tool-augmented reasoning to automate threat analysis and response workflows. * Optimizing and fine-tuning models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost. * 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. * 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 Python programming skills, strong software design fundamentals, and experience leveraging coding agents in development workflows. * Hands-on experience with deep learning developme

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