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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer - AGI & Future Tech

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

Job Description

Apex Horizon Systems is at the forefront of the 2026 AI revolution. We are building the infrastructure for Artificial General Intelligence (AGI) and are seeking a visionary Senior AI Research Engineer to join our elite team. You will define the architectural roadmap for our next-generation reasoning engines, pushing the boundaries of what is possible in machine learning.

In this role, you will bridge the gap between theoretical research and production-grade deployment, ensuring our systems are not only intelligent but scalable, safe, and aligned with human values.

Why Join Us?

  • Work on the cutting edge of AI development targeting the 2026 AGI milestone.
  • Competitive compensation package including equity.
  • Flexible remote-first policy with a focus on collaboration.

Responsibilities

  • Design and implement novel neural network architectures capable of complex reasoning and multi-step planning.
  • Lead research initiatives focused on scaling LLMs and achieving emergent behaviors.
  • Collaborate with cross-functional engineering teams to integrate research findings into production pipelines.
  • Optimize model performance for low-latency inference in edge devices.
  • Conduct rigorous testing and validation to ensure safety and reliability of AI systems.
  • Publish high-impact research papers and contribute to open-source communities.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 5+ years of experience in machine learning research or applied AI engineering.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Strong background in Deep Learning, Natural Language Processing (NLP), or Reinforcement Learning.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR, ACL).
  • Experience with large-scale distributed training and model optimization.

Required Skills

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

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