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Senior AI Visionary Engineer (2026)

Apex Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Welcome to the 2026 era of intelligence. Apex Horizon Labs is pioneering the next generation of Artificial General Intelligence (AGI) and Neuromorphic Computing. We are not just building software; we are architecting the cognitive foundation for a digital future.

We are seeking a Senior AI Visionary Engineer to lead our core research division. In this role, you will bridge the gap between theoretical machine learning and real-world deployment in a quantum-ready infrastructure. You will define the ethical frameworks and architectural standards for AI systems that will operate autonomously by 2026.

Why join us?

  • Work on mission-critical projects that redefine human-computer interaction.
  • Access to state-of-the-art compute clusters and quantum research facilities.
  • Competitive equity packages and a forward-thinking, remote-first culture.

Responsibilities

  • Design and implement scalable neural architectures for next-gen Large Language Models (LLMs) and Multimodal AI systems.
  • Lead research initiatives in Reinforcement Learning from Human Feedback (RLHF) and AI Safety protocols.
  • Collaborate with cross-functional teams to integrate AI agents into autonomous fleet management systems.
  • Establish best practices for code efficiency, model optimization, and ethical AI deployment.
  • Mentor a team of junior researchers and data scientists, fostering a culture of innovation and continuous learning.
  • Conduct rigorous testing and validation of AI models to ensure robustness against adversarial attacks.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of professional experience in deep learning, natural language processing, or computer vision.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Rust.
  • Proven track record of publishing research in top-tier AI conferences (NeurIPS, ICML, ICLR).
  • Strong understanding of distributed systems and cloud-native AI infrastructure (AWS, GCP, Azure).
  • Experience with quantum computing libraries (Qiskit, Cirq) is a significant plus.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AI Ethics Cloud Computing Quantum Computing

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