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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus AI Labs at the forefront of technological evolution as we pioneer breakthroughs that will define 2026 and beyond. We seek visionary AI Research Scientists to architect intelligent systems that solve humanity's most complex challenges. In this role, you'll collaborate with Nobel laureates and industry disruptors to develop next-generation AI models that will reshape industries.

Our state-of-the-art Silicon Valley campus offers unparalleled resources including quantum computing access and ethical AI frameworks. You'll lead projects with global impact while enjoying competitive equity packages and flexible work arrangements designed for peak innovation.

Responsibilities

  • Design and implement novel machine learning algorithms for autonomous systems and predictive analytics
  • Lead cross-functional research initiatives combining computer vision and natural language processing
  • Develop ethical AI frameworks ensuring alignment with 2026 regulatory standards
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and collaborate with academic institutions
  • Translate theoretical models into scalable production systems

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years research experience
  • Published record in NeurIPS/ICML/ICLR or equivalent tier conferences
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks
  • Demonstrated experience developing ethical AI bias mitigation strategies
  • Strong background in quantum machine learning or neuromorphic computing
  • Ability to secure government-level research funding

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Natural Language Processing Computer Vision Reinforcement Learning Quantum Computing AI Ethics Research

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