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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist 2026

NeuroSynth Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join NeuroSynth Labs at the forefront of artificial intelligence innovation. As an AI Research Scientist 2026, you'll pioneer breakthroughs in neural networks and machine learning to redefine human-computer interaction. Our dynamic team in San Francisco is building the next generation of intelligent systems, and we need visionary thinkers like you to help us shape the future.

We offer a collaborative environment where your ideas can transform into reality. With competitive compensation, cutting-edge resources, and a culture that celebrates curiosity, this is your opportunity to leave a lasting impact on the AI landscape.

Responsibilities

  • Design and implement advanced AI models for natural language processing and computer vision
  • Lead research initiatives in quantum computing integration with neural networks
  • Collaborate with cross-functional teams to prototype and deploy AI solutions
  • Publish groundbreaking research in top-tier AI conferences and journals
  • Mentor junior researchers and foster an innovative research culture
  • Secure patents for novel AI methodologies and algorithms
  • Analyze complex datasets to identify patterns and optimization opportunities

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience with deep learning frameworks (TensorFlow, PyTorch)
  • Published research in NLP, computer vision, or quantum AI
  • Expertise in Python, C++, and distributed computing systems
  • Strong background in statistical analysis and algorithm design
  • Demonstrated ability to lead complex research projects from concept to deployment
  • Passion for ethical AI development and responsible innovation

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch NLP Computer Vision Quantum Computing Statistical Analysis Algorithm Design

Ready to Take This Challenge?

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