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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer breakthrough AI systems for 2026 and beyond. We seek visionary researchers to develop next-generation neural networks and autonomous solutions that will redefine human-machine interaction. Our state-of-the-art lab in San Francisco offers unparalleled resources and collaborative freedom to push the boundaries of artificial intelligence.

As an AI Research Scientist, you'll work with a multidisciplinary team of Nobel laureates, engineers, and ethicists to create scalable, ethical AI frameworks. We offer competitive compensation, comprehensive benefits, and a culture that celebrates intellectual curiosity and innovation.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation AI applications
  • Lead research initiatives in quantum machine learning and neuromorphic computing
  • Develop ethical AI governance frameworks aligned with 2026 regulatory standards
  • Collaborate with product teams to translate research into commercial AI solutions
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and foster cross-functional innovation

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Proven expertise in transformer architectures, reinforcement learning, and generative models
  • Published research in NeurIPS, ICML, or equivalent tier conferences
  • Strong programming skills in Python, PyTorch, and distributed computing frameworks
  • Experience with large-scale model training (GPT-4+ scale)
  • Demonstrated ability to translate theoretical research into practical applications
  • Knowledge of emerging AI ethics frameworks and regulatory landscapes

Required Skills

Artificial Intelligence Machine Learning Deep Learning Neural Networks Quantum Computing Python PyTorch Research Ethics Large Language Models

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