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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We're seeking an AI Research Scientist to transform theoretical breakthroughs into real-world applications that will shape the next generation of intelligent systems. In this role, you'll collaborate with world-class researchers to develop cutting-edge algorithms while mentoring a diverse team of engineers. Our culture emphasizes intellectual curiosity, rapid prototyping, and ethical AI development. Enjoy comprehensive benefits including equity, flexible work arrangements, and dedicated innovation time.

Responsibilities

  • Design and implement novel machine learning models for next-generation autonomous systems
  • Lead research initiatives in explainable AI and ethical algorithm development
  • Publish breakthrough findings in top-tier AI conferences and journals
  • Collaborate with product teams to translate research into scalable solutions
  • Mentor junior researchers and foster cross-functional innovation
  • Secure research grants and partnerships with leading academic institutions
  • Contribute to patent development for proprietary AI technologies

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of hands-on experience with deep learning frameworks (PyTorch, TensorFlow)
  • Proven track record of publishing research at NeurIPS/ICML/ICLR
  • Expertise in reinforcement learning and neural architecture search
  • Strong background in distributed computing and high-performance ML systems
  • Demonstrated ability to translate research into production-grade code
  • Experience with ethical AI frameworks and bias mitigation techniques
  • Excellent communication skills with both technical and non-technical stakeholders

Required Skills

Machine Learning Deep Learning Reinforcement Learning PyTorch TensorFlow Research Distributed Computing AI Ethics

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