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Senior AI Research Engineer - San Francisco, CA

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Architect the Future of Intelligence

We are seeking a visionary Senior AI Research Engineer to lead the development of next-generation generative models. In a world rapidly moving toward the technological paradigm of 2026, your work will define how machines understand, generate, and interact with human language and complex data.

At Apex Horizon Systems, we don't just predict trends; we build the infrastructure that powers them. Join a world-class team focused on pushing the boundaries of Large Language Models (LLMs) and multimodal AI systems.

Responsibilities

  • Lead the research and implementation of cutting-edge Generative AI models, specifically targeting 2026-era capabilities.
  • Design and optimize scalable neural network architectures for high-performance inference.
  • Collaborate with product engineering teams to integrate AI solutions into production environments.
  • Publish high-impact research findings in top-tier conferences and journals.
  • Conduct rigorous experiments to fine-tune models for specific domain applications.
  • Stay ahead of the curve on emerging AI trends, including Reinforcement Learning from Human Feedback (RLHF) and Agentic AI.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in research engineering or deep learning development.
  • Extensive experience with deep learning frameworks such as PyTorch or TensorFlow.
  • Proven track record of publishing research in top-tier venues (NeurIPS, ICML, ICLR, ACL).
  • Strong proficiency in Python, CUDA, and distributed computing systems.
  • Experience with Hugging Face, LangChain, or similar AI infrastructure tools.

Required Skills

Python PyTorch TensorFlow Hugging Face NLP Large Language Models Generative AI Machine Learning CUDA Deep Learning Research Engineering RLHF

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