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Senior Data Scientist – Security and Networking Research
NVIDIASenior Data Scientist specializing in Security and Networking, developing models for NVIDIA's AI infrastructure. Collaborating on research for data center products and AI networking security.
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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).
Benefits
Comp & perks- NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
deep learningmachine learningPythonTensorFlowPyTorchmodel distillationquantizationpruningzero/few-shot learninggenerative AI
Soft Skills
collaborationcommunicationproblem-solvinganalytical thinkingattention to detail
Certifications
MS in Computer SciencePhD in Computer ScienceMS in Computer EngineeringPhD in Computer EngineeringMS in Electrical EngineeringPhD in Electrical Engineering