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Senior AI Research Engineer (2026 Vision)

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027



Job Description

At Quantum Horizon Labs, we aren't just building software; we are architecting the reality of 2026 and beyond. As a pioneer in the field of Artificial General Intelligence (AGI) and Future Tech, we are seeking a visionary Senior AI Research Engineer to lead our core algorithm development.

In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production systems. You will be instrumental in defining the roadmap that will drive our solutions a decade into the future. If you are obsessed with pushing the boundaries of what is possible and want to leave a legacy in the tech world, we want to meet you.

Why Join Us?

  • Work on the technology stack of tomorrow, today.
  • Competitive equity package and top-tier compensation.
  • Collaborate with world-class researchers and engineers.

Responsibilities

  • Lead the research and development of next-generation neural architectures designed for the 2026 landscape.
  • Design and implement scalable deep learning pipelines capable of processing petabytes of data.
  • Conduct rigorous experimentation and validation of novel algorithms, focusing on efficiency and accuracy.
  • Collaborate with cross-functional teams (Product, Engineering, Ethics) to translate research into tangible products.
  • Stay at the forefront of industry trends, identifying emerging technologies that could disrupt the market.
  • mentor junior researchers and guide them through complex technical challenges.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of experience in research engineering, machine learning, or a similar technical role.
  • Deep proficiency in Python, PyTorch, or TensorFlow.
  • Strong background in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
  • Experience with distributed computing systems and cloud infrastructure (AWS/GCP).
  • Familiarity with AI ethics and responsible AI practices.

Required Skills

Python PyTorch TensorFlow NLP Computer Vision Machine Learning Deep Learning Distributed Systems AWS Research Engineering AGI Reinforcement Learning

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