Senior AI Research Engineer for Large Language Models

Vor 5 Tagen

Wallisellen, Zürich, Schweiz Cisco Vollzeit
Overview

Cisco is a leading technology company that empowers businesses to thrive in the digital era. As a Senior AI Research Engineer for Large Language Models, you will be part of our Outshift team, which focuses on identifying breakthrough emerging solutions that create new markets and businesses for Cisco.

Job Summary

We are seeking an experienced Senior AI Research Engineer to drive the Generative AI strategy, adapt various Gen AI models for quality and performance for new products, and develop scalable ML models for deep learning and generative AI products.

Responsibilities
  • Drive the Generative AI strategy, 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.
  • Strong problem-solving skills and ability to work independently or in a team.
  • PhD in machine learning, data science, engineering, computer science, mathematics, statistics, or highly quantitative field.
Salary

The estimated salary for this role is $250,000 - $350,000 per year, depending on experience and qualifications.

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