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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

NeuraLabs Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join NeuraLabs Inc. at the forefront of artificial intelligence innovation! We're seeking visionary AI Research Scientists to develop groundbreaking solutions that will shape the technological landscape of 2026 and beyond. Our cutting-edge environment fosters collaboration between brilliant minds working on transformative AI applications across healthcare, climate science, and autonomous systems. You'll have access to state-of-the-art computing resources and the freedom to explore uncharted territories in machine learning and neural networks.

We offer a competitive compensation package including equity, flexible work arrangements, and continuous learning opportunities. Our culture values intellectual curiosity, ethical innovation, and the relentless pursuit of breakthroughs that solve humanity's most pressing challenges. If you're passionate about pushing the boundaries of what's possible with AI, we want you on our team.

Responsibilities

  • Design and implement novel machine learning architectures for complex real-world problems
  • Lead research initiatives in generative AI, quantum computing integration, and ethical AI frameworks
  • Collaborate with cross-functional teams to translate research into production-ready solutions
  • Publish findings in top-tier academic journals and present at industry conferences
  • Mentor junior researchers and contribute to our open-source research initiatives
  • Stay ahead of emerging AI trends and identify new research opportunities
  • Develop robust evaluation methodologies for next-generation AI systems

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience with advanced AI/ML frameworks (PyTorch, TensorFlow)
  • Proven track record of publishing in AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in neural network architectures and optimization techniques
  • Strong background in ethical AI development and responsible innovation
  • Experience with large-scale distributed computing and GPU acceleration
  • Excellent communication skills with ability to articulate complex concepts
  • Portfolio demonstrating research contributions and practical applications

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Neural Networks AI Ethics Research Distributed Computing Quantum Computing Generative AI

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