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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

NeuraVision Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join NeuraVision Labs at the forefront of artificial intelligence innovation. We're seeking a visionary AI Research Scientist to pioneer breakthrough technologies that will redefine industries by 2026. In this pivotal role, you'll collaborate with world-class researchers to develop next-gen AI systems while shaping our strategic roadmap for the future. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture that celebrates intellectual curiosity and bold experimentation.

We offer competitive compensation, comprehensive benefits, and the opportunity to work on projects with global impact. If you're passionate about pushing the boundaries of machine learning and want to contribute to technologies that will shape tomorrow, we encourage you to apply.

Responsibilities

  • Lead cutting-edge research in neural networks, deep learning architectures, and autonomous systems
  • Develop novel algorithms for quantum computing integration and edge AI optimization
  • Collaborate with engineering teams to translate research into production-ready solutions
  • Publish findings in top-tier journals and present at global AI conferences
  • Mentor junior researchers and foster innovation through internal hackathons
  • Contribute to ethical AI frameworks and responsible development practices
  • Stay ahead of emerging trends in explainable AI and federated learning

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of research experience
  • Proven track record of publications at NeurIPS, ICML, or equivalent venues
  • Expertise in PyTorch, TensorFlow, and distributed computing frameworks
  • Strong background in reinforcement learning and generative models
  • Experience with MLOps pipelines and large-scale model deployment
  • Ability to translate complex technical concepts for diverse stakeholders
  • Portfolio demonstrating contributions to open-source AI projects

Required Skills

Machine Learning Deep Learning Neural Networks Quantum Computing MLOps PyTorch TensorFlow Research AI Ethics

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