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Senior AI Research Engineer (2026 Horizon) - San Francisco, CA

Quantum Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to define the future of Artificial Intelligence?

Quantum Nexus Labs is on a mission to build the world's most advanced AGI systems. We are seeking a visionary Senior AI Research Engineer to join our elite '2026 Horizon' division. In this role, you won't just be maintaining current systems; you will architect the neural architectures that will power the next generation of human-computer interaction.

As a pioneer in this niche, you will have the autonomy to experiment, the resources to scale, and the impact to change the world.

Responsibilities

  • Lead the research and development of cutting-edge Large Language Models (LLMs) and multimodal systems.
  • Architect scalable training pipelines and optimize model inference for real-time applications.
  • Conduct rigorous research on novel AI methodologies, including reinforcement learning and causal inference.
  • Mentor junior researchers and PhD candidates, fostering a culture of innovation and excellence.
  • Collaborate with product teams to translate theoretical breakthroughs into practical, market-ready solutions.
  • Publish high-impact research papers at top-tier conferences (NeurIPS, ICML, ICLR).
  • Define the technical roadmap for the 2026 AI evolution strategy.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in Deep Learning, NLP, or Computer Vision.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of publishing research or delivering production-level AI systems.
  • Deep understanding of transformer architectures and attention mechanisms.
  • Experience with distributed computing systems (e.g., Ray, Kubernetes) and cloud platforms (AWS, GCP).
  • Excellent communication skills and a passion for solving complex, unsolved problems.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning CUDA Distributed Systems Research AI AGI LLMs

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