Infrastructure & TechnologyAI Foundations - Research Co-OpEntry LevelMultiple Cities

IBM

Yorktown Heights, New York, United States
Base: $111,000.00 - $159,390.00 py; bonus/equity: ...
Hybrid
Strong foundational knowledge of llms
Proficiency in pytorch deep learning frameworks
Solid understanding of machine learning fundamentals
IBM is seeking an entry-level Research Co-Op in Infrastructure & Technology AI Foundations to conduct innovative research and algorithm development focused on improving large language models. This hybrid position offers an opportunity to collaborate with leading scientists and contribute to significant advancements in AI

Job Summary

  • This role involves conducting cutting-edge research to improve the reliability and trustworthiness of large language models through advanced algorithm development.
  • Candidates will collaborate with leading scientists and engineers at IBM Research to push boundaries in high-performance computing, AI, and quantum technologies.
  • The position offers competitive compensation ranging from $111,000 to $159,390 annually along with benefits including paid holidays and sick time.

Matching Summary

Match Score: 85

IBM is seeking an entry-level Research Co-Op in Infrastructure & Technology AI Foundations to conduct innovative research and algorithm development focused on improving large language models. This hybrid position offers an opportunity to collaborate with leading scientists and contribute to significant advancements in AI.

Salary

Base: $111,000.00 - $159,390.00 per year; Bonus/Equity: Not specified; Benefits: Up to 8 paid holidays, 56 hours paid sick time, Employee Stock Purchase Plan

Skills & Requirements

Must-have

  • Strong foundational knowledge of LLMs
  • Proficiency in PyTorch deep learning frameworks
  • Solid understanding of machine learning fundamentals
  • Ability to independently design experiments

Nice-to-have

  • Publications in top-tier AI/ML conferences
  • Experience with RLHF techniques
  • Familiarity with RAG architectures
  • Hands-on experience with large-scale ML infrastructure

Key Requirements

  • Bachelor's Degree required
  • Master's Degree preferred
  • Entry Level experience

Work Rights

Not specified

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