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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist - 2026 Horizon

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

The Future of Intelligence is Here.

Nexus Future Labs is at the forefront of defining the AI landscape for 2026. We are seeking a visionary Senior AI Research Scientist to join our elite R&D division. You will not just build models; you will architect the next generation of Autonomous Agentic AI systems that redefine human-machine interaction.

In this role, you will bridge the gap between theoretical breakthroughs and scalable production systems, ensuring our solutions remain dominant in the rapidly evolving 2026 technology ecosystem.

Responsibilities

  • Architect 2026-Ready AI Systems: Design and implement cutting-edge deep learning architectures optimized for the specific demands of the 2026 compute environment.
  • Lead Research Initiatives: Spearhead projects focused on Large Language Models (LLMs), Reinforcement Learning, and multi-agent systems.
  • Optimize Performance: Drive efficiency improvements in model inference, reducing latency and resource consumption for real-time applications.
  • Collaborate with Engineering: Work closely with software engineers to translate research prototypes into robust, production-grade APIs.
  • Stay Ahead of Trends: Continuously monitor the global AI landscape to identify emerging paradigms that will shape the 2026 roadmap.

Qualifications

  • Education: Ph.D. or Master's degree in Computer Science, Mathematics, or a related technical field.
  • Technical Mastery: Deep expertise in PyTorch, TensorFlow, or JAX with a proven track record of publishing at top-tier conferences (NeurIPS, ICML, ICLR).
  • Experience: 5+ years of experience in AI/ML research or software engineering within high-growth tech environments.
  • Domain Knowledge: Strong understanding of Natural Language Processing (NLP) and Computer Vision fundamentals.
  • Programming: Proficiency in Python, C++, and SQL for data manipulation and system integration.

Required Skills

Python PyTorch Machine Learning Deep Learning NLP LLMs AI Research CUDA Reinforcement Learning TensorFlow SQL C++

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