Senior Applied AI Researcher

vor 1 Tag

Wallisellen, Zürich, Schweiz Cisco Vollzeit

About the Role

Cisco is seeking a highly skilled and experienced Senior Applied AI Researcher to lead our Generative AI strategy and adapt various Gen AI models for quality and performance for new products.

Key Responsibilities

  • Drive the Generative AI strategy and adapt various Gen AI models for quality and performance for new products.
  • Analyze data to discover patterns, design, develop, evaluate, validate, and build scalable ML models for deep learning and generative AI products.
  • Develop, implement, and optimize LLMs and generative AI technologies, including training/finetuning and computation optimizations.
  • Conduct research and development into innovative AI/ML/Gen AI models using state-of-the-art tools and techniques, develop new algorithms and systems for reasoning using text, image, video, audio, and multimodal inputs.
  • Collaborate with product managers to understand business requirements, and work with peer engineers and scientists to build prototypes.
  • Collaborate with software engineers to deploy LLM and other Generative AI models into production environments.
  • Stay up to date with the latest advancements in the field of Generative AI.
  • Test and integrate successful models and algorithms into production systems that operate at very large scale.
  • Mentor applied scientists and engineers globally and hold Outshift to a high standard of technical rigor and excellence in AI.

Requirements

  • Hands-on experience developing, implementing, and optimizing large language models and generative AI technologies, including training/finetuning and computation optimizations.
  • Understanding and hands-on experience in natural language processing, computer vision, and multimodal interaction.
  • Design and build solutions to help customers reach successful pilots, PoCs, and production deployments with generative AI and data science technologies.
  • Consolidate learnings from these strategic engagements and present to the inbound product management teams to improve their products and platforms.
  • PhD degree and 10+ years, or Master's degree and 15+ years in CS, CE, ML, or related fields with a consistent track record of developing and delivering models for enterprise-class products that created successful business outcomes.
  • 7+ years of experience in Java, C++, Python (or related languages) and hands-on experience with deep learning frameworks.

Preferred Skills

  • Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories.
  • Practical experience in system design, software development, and production deployment.
  • Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving.
  • Familiarity with the latest advancements in computer vision and multimodal modeling such as CLIP, DALL-E2, and diffusion models.
  • Top-tier performance in prestigious deep learning leaderboards or large model-related competitions.
  • Having an impressive set of GitHub projects or contributions to open-source technologies.

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