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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer (Future Tech 2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Are you ready to define the trajectory of Artificial Intelligence by 2026? Nexus Horizon Labs is seeking a visionary Senior AI Research Engineer to lead our cutting-edge initiatives in AGI alignment and sustainable computing.

As we stand on the precipice of a new technological era, your work will directly impact how humanity interfaces with intelligent systems. You will be at the forefront of developing scalable neural architectures and ensuring ethical integrity in automated decision-making processes.

Why Join Us?

  • Work on projects that are shaping the future of technology.
  • Competitive compensation package including equity.
  • Flexible remote and hybrid work options.
  • Access to state-of-the-art computing infrastructure.

Responsibilities

  • Design and implement next-generation neural network architectures optimized for 2026 standards.
  • Conduct rigorous research into Artificial General Intelligence (AGI) safety protocols and bias mitigation.
  • Collaborate with cross-functional teams to integrate AI solutions into complex software ecosystems.
  • Mentor junior engineers and PhD researchers, fostering a culture of innovation.
  • Publish high-impact research papers and contribute to open-source communities.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of experience in Machine Learning, Deep Learning, or Reinforcement Learning.
  • Proficiency in Python, PyTorch, TensorFlow, and GPU acceleration libraries.
  • Strong understanding of AI ethics, responsible AI practices, and regulatory compliance.
  • Experience with cloud infrastructure (AWS, GCP) and containerization (Docker/Kubernetes).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AI Ethics Neural Networks Cloud Computing Docker Kubernetes

Ready to Take This Challenge?

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