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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Scientist

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Senior AI Research Scientist to lead our next-generation artificial intelligence initiatives. As we architect the future of human-machine interaction, we are looking for a technical leader who is not just adapting to industry trends but defining them for 2026 and beyond.


In this pivotal role, you will be responsible for designing and implementing state-of-the-art Large Language Models (LLMs) and autonomous agents. You will work in a highly collaborative, cross-functional environment where your research directly impacts real-world applications. If you are passionate about pushing the boundaries of generative AI and ethical machine learning, we want to hear from you.


Why Join Us?

  • Work on cutting-edge AI infrastructure that scales globally.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium office amenities in San Francisco.

Responsibilities

  • Lead the research and development of advanced Natural Language Processing (NLP) models, specifically focusing on LLM fine-tuning and alignment for 2026 standards.
  • Architect scalable AI pipelines that integrate seamlessly with cloud infrastructure (AWS/GCP).
  • Collaborate with engineering teams to deploy research models into production environments.
  • Conduct rigorous testing and validation to ensure model accuracy, safety, and ethical compliance.
  • Stay ahead of emerging AI trends and propose innovative solutions to complex technical challenges.
  • Mentor junior data scientists and researchers within the team.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related field from a top-tier institution.
  • Proven experience (5+ years) in designing, training, and deploying machine learning models at scale.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Strong understanding of Transformer architectures, Attention mechanisms, and Vector Databases.
  • Experience with Generative AI tools, LLMs (e.g., GPT, LLaMA, Claude), and RAG architectures.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Natural Language Processing (NLP) Large Language Models (LLM) Deep Learning AI Ethics AWS Cloud Computing

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