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AI Research Scientist - 2026 Vision

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus AI Labs at the forefront of artificial intelligence innovation as we pioneer breakthrough technologies for 2026 and beyond. We're seeking visionary AI Research Scientists to develop next-generation machine learning models that will redefine human-computer interaction. Our interdisciplinary team collaborates in state-of-the-art labs with unlimited computational resources, focusing on ethical AI development and real-world applications. Enjoy flexible work arrangements, comprehensive benefits, and the opportunity to shape the future of intelligent systems.

Responsibilities

  • Design and implement novel deep learning architectures for autonomous systems
  • Lead research initiatives in explainable AI and human-centered machine learning
  • Collaborate with cross-functional teams to translate research into production-ready solutions
  • Publish findings in top-tier AI conferences and contribute to open-source projects
  • Mentor junior researchers and foster innovation through regular hackathons
  • Secure research funding through grant proposals and industry partnerships
  • Ensure all AI systems adhere to ethical guidelines and regulatory standards

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience with transformer architectures and neural networks
  • Proven track record of peer-reviewed publications at NeurIPS/ICML/ICLR
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Strong background in reinforcement learning or computer vision
  • Demonstrated ability to translate complex research into practical applications
  • Excellent communication skills with ability to articulate technical concepts to diverse audiences
  • Passion for ethical AI development and responsible innovation

Required Skills

Artificial Intelligence Machine Learning Deep Learning Natural Language Processing Computer Vision Python TensorFlow PyTorch Reinforcement Learning

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