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Senior AI Research Engineer | San Francisco, CA | Future Tech 2026

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Are you ready to define the next era of Artificial Intelligence? Nexus Horizon AI is seeking a visionary Senior AI Research Engineer to spearhead our cutting-edge roadmap for 2026. In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable production systems, shaping the future of Human-Computer Interaction and Autonomous Intelligence.

Why Join Nexus Horizon AI?

  • Impactful Work: Directly contribute to the development of AGI-ready architectures.
  • Elite Team: Collaborate with world-class researchers and engineers.
  • Future-Ready: Work on the technologies defining the 2026 technological landscape.

We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to turn complex algorithms into seamless user experiences.

Responsibilities

  • Architect and train state-of-the-art Large Language Models (LLMs) and multimodal systems optimized for 2026 standards.
  • Lead research initiatives in emergent AI behaviors, reinforcement learning, and ethical AI alignment.
  • Optimize model inference speed and accuracy, ensuring scalability across distributed cloud infrastructure.
  • Collaborate with product teams to translate research findings into market-defining features.
  • Conduct rigorous experimentation and A/B testing to validate new AI paradigms.
  • Mentor junior researchers and foster a culture of innovation within the engineering department.
  • Stay ahead of industry trends, specifically monitoring developments in quantum computing applications for AI.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in machine learning, deep learning, or AI research.
  • Proficiency in Python, PyTorch, TensorFlow, and modern MLOps tooling.
  • Deep understanding of transformer architectures, attention mechanisms, and neural network theory.
  • Experience with high-performance computing (HPC) and GPU optimization (CUDA).
  • Strong problem-solving skills with a proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
  • Excellent communication skills, capable of explaining complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps CUDA Reinforcement Learning Distributed Systems HPC

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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