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2026 AI Research Lead

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the precipice of a technological singularity, and Nexus Horizon Systems is leading the charge into the 2026 era. We are seeking a visionary 2026 AI Research Lead to architect the next generation of generative models and autonomous systems. If you are passionate about pushing the boundaries of artificial general intelligence (AGI) and shaping the infrastructure of tomorrow, this is your moment.

As part of our elite R&D division, you will define the roadmap for our proprietary 2026 framework, ensuring scalability, safety, and ethical alignment across our global neural networks.

Responsibilities

  • Architect the 2026 Framework: Design and implement scalable architectures for next-generation AI models, focusing on efficiency and performance optimization.
  • Lead Research Initiatives: Spearhead R&D projects exploring novel neural pathways and reinforcement learning paradigms relevant to the 2026 landscape.
  • Model Deployment: Oversee the transition of experimental models from lab to production, ensuring seamless integration into our existing ecosystem.
  • Mentorship: Cultivate a high-performance research team, providing technical guidance and fostering a culture of innovation.
  • Stakeholder Communication: Translate complex technical concepts into strategic insights for executive leadership and product teams.

Qualifications

  • Master’s Degree or PhD: In Computer Science, Mathematics, or a related field, with a focus on Machine Learning or Deep Learning.
  • Experience: 7+ years of experience in AI/ML research and development, with a proven track record of publications in top-tier conferences (NeurIPS, ICML, ICLR).
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Visionary Mindset: Ability to anticipate emerging trends in AI and adapt the 2026 roadmap accordingly.
  • Leadership: Demonstrated success in leading cross-functional teams and managing large-scale research budgets.

Required Skills

Python TensorFlow PyTorch Deep Learning Distributed Systems Machine Learning AI Research Leadership

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