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Senior AI Research Scientist

InnovateAI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join InnovateAI Labs at the forefront of artificial intelligence research, where we're building the intelligent systems that will define 2026 and beyond. We're seeking a visionary Senior AI Research Scientist to lead groundbreaking projects in machine learning, neural networks, and autonomous systems. Collaborate with world-class researchers to develop next-generation AI solutions that solve humanity's most complex challenges.

Why InnovateAI?

  • Work on cutting-edge projects with $500M+ in R&D funding
  • Access to industry-leading GPU clusters and quantum computing resources
  • Competitive equity package and comprehensive benefits
  • Opportunity to publish in top-tier conferences and journals

Shape the future of technology and make a lasting impact on society.

Responsibilities

  • Design and execute advanced research in deep learning and neural architectures
  • Lead the development of novel AI algorithms for autonomous systems
  • Collaborate with engineering teams to prototype and deploy research solutions
  • Publish breakthrough findings in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Mentor junior researchers and foster a culture of innovation
  • Secure external research grants and partnerships with academic institutions
  • Translate theoretical research into scalable industrial applications

Qualifications

  • PhD in Computer Science, Machine Learning, or related field
  • 5+ years of industry research experience with AI/ML systems
  • Proven track record of publications at NeurIPS/ICML/CVPR or equivalent
  • Expertise in deep learning frameworks (TensorFlow, PyTorch) and distributed computing
  • Strong background in reinforcement learning or computer vision
  • Experience with large-scale dataset management and MLOps
  • Exceptional problem-solving skills and ability to communicate complex concepts

Required Skills

Machine Learning Deep Learning Neural Networks TensorFlow PyTorch Reinforcement Learning Computer Vision Distributed Computing MLOps Research Leadership

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