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Cisco Member Technical Staff Robust Intelligence United States, California, San Francisco 971191164
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The application window is expected to close on February 21, 2025
Job posting may be removed earlier if the position is filled or if a sufficient number of applicants are received.
Fulton/DC MetroAustin, Texas; Ann Arbor, Michigan,RTP, North Carolina;Atlanta Metro, Georgia; Boston Metro, Massachusetts
Robust Intelligence’s mission is to securein AI and security and is an active contributor tocutting edge
About Robust Intelligence
by Cisco in 2024.
Your Impact
As aSenior Software Engineeryou willdevelop and deploy ML models, work ontransformer-based architectures, and contribute toend-to-end AI solutions. You will collaborate with, helping tobuild and scale AI applicationsthat addressreal-world industry challenge
- Build andoptimizeML modelsfor diverse applications
- Develop andmaintainML infrastructure, pipelines, and deployment systems
- Work acrossmodeling, ML infra, and system developmentto deliver AI-driven solutions
- Engage withcustomers and internal teamsto refine AI models based on real-world feedback
- Collaborate withcross-functional teamsto ensure AI solutions are scalable and production-ready
- Solve complexML and AI system design challenges
Qualifications
- degree with 5+ years (or)Mastersdegree with 3+ years (or) PhD degree with 1+ year of software development industry experience
- 2+ years of industry experience in machine learning to include building, fine tuning and deploying machine learning models into production
- Experience in Python or Goand ML frameworks (PyTorch, TensorFlow)
Preferred Qualificatio
- Strong understanding ofML Fundamentals, classic ML algorithms,moderntransformer-basedmodelsand deep learning architectures
- Knowledge ofLangChain,LlamaIndex, and Hugging Face models
- Background inAI security, risk detection, or fraud detection(a plus, but notrequired)
- Research experience or contributions to open-source ML projects
- Self-starter with a strong problem-solving skills and ability to work independently
technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.
. One-third of80 hours
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