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Senior AI Research Scientist

Nexus AI Systems
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Latest
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Are you ready to shape the future of Artificial Intelligence? Nexus AI Systems is seeking a visionary Senior AI Research Scientist to lead our next-generation Natural Language Processing (NLP) initiatives.


At Nexus, we don't just build models; we engineer intelligence that understands the world. You will work at the forefront of Generative AI, optimizing large language models for enterprise scalability and safety. If you thrive in a high-velocity, research-driven environment and want to push the boundaries of what's possible with deep learning, we want to meet you.


Why Join Nexus AI?

  • Work with state-of-the-art compute infrastructure.
  • Competitive equity package and comprehensive benefits.
  • Collaborate with world-class engineers and researchers.

Responsibilities

  • Lead the research and development of cutting-edge Deep Learning architectures, specifically focusing on Transformers and LLMs.
  • Design and implement scalable algorithms that power our core product suite, ensuring high accuracy and low latency.
  • Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
  • Collaborate cross-functionally with product managers and engineers to translate research into production-ready features.
  • Stay ahead of the curve by analyzing the latest academic papers and adapting novel techniques to our proprietary framework.
  • Conduct rigorous experimentation and A/B testing to validate model performance and generalization.

Qualifications

  • Ph.D. or M.S. in Computer Science, Machine Learning, Mathematics, or a related field.
  • 5+ years of professional experience in AI/ML research or engineering.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of statistical learning theory and optimization techniques.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or shipping high-impact models.
  • Experience with distributed computing frameworks (Ray, Kubernetes) and MLOps pipelines.

Required Skills

Python PyTorch TensorFlow Natural Language Processing Deep Learning Machine Learning NLP LLMs Data Science MLOps Research

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