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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist

NeuroTech Labs
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join NeuroTech Labs at the forefront of artificial intelligence innovation. We're pioneering breakthroughs in neural networks and machine learning that transform industries. As a Senior AI Research Scientist, you'll collaborate with world-class researchers to develop cutting-edge algorithms and deploy scalable AI solutions. Our state-of-the-art lab in San Francisco offers unparalleled resources for experimentation and prototyping.

We value intellectual curiosity and technical excellence. You'll work on projects that directly impact healthcare, climate science, and autonomous systems while mentoring junior researchers and publishing high-impact papers.

Responsibilities

  • Design and implement advanced neural network architectures for complex problem domains
  • Lead research initiatives in transfer learning and reinforcement learning
  • Collaborate with engineering teams to translate research prototypes into production systems
  • Publish findings in top-tier conferences (NeurIPS, ICML, CVPR)
  • Mentor junior scientists and provide technical guidance
  • Secure external funding through grant applications and industry partnerships
  • Contribute to open-source AI frameworks and tools

Qualifications

  • PhD in Computer Science, Mathematics, or related field with 3+ years postdoc experience
  • Expertise in PyTorch/TensorFlow and distributed ML frameworks
  • Published record in top-tier ML/AI conferences
  • Strong background in Bayesian statistics and probabilistic modeling
  • Experience with large-scale GPU cluster computing
  • Proven ability to lead cross-functional research projects
  • Excellent communication skills for technical and non-technical audiences
  • Patent or significant open-source contributions preferred

Required Skills

Deep Learning PyTorch Reinforcement Learning Bayesian Statistics Distributed Computing Scientific Publishing Research Leadership

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