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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist

NeuraTech Innovations
San Francisco
Estimated Salary
USD 220.000 – USD 280.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join NeuraTech Innovations at the forefront of artificial intelligence research and development. We're pioneering breakthroughs in autonomous systems and cognitive computing that will redefine industries by 2026. As a Senior AI Research Scientist, you'll lead cutting-edge projects in machine learning, neural networks, and predictive analytics. Our collaborative environment encourages bold experimentation and rapid prototyping, with access to state-of-the-art computing infrastructure and a team of world-class researchers.

We offer competitive compensation, comprehensive benefits including equity, and a commitment to professional growth through our internal AI fellowship program. Help shape the future of intelligent systems and make a tangible impact on global technological advancement.

Responsibilities

  • Design and execute advanced machine learning models for autonomous decision-making systems
  • Lead cross-functional research initiatives in natural language processing and computer vision
  • Develop novel algorithms for real-time data processing and predictive analytics
  • Collaborate with engineering teams to translate research into scalable production solutions
  • Publish findings in top-tier AI conferences and journals
  • Mentor junior researchers and drive innovation through internal hackathons
  • Secure external research funding through grant proposals and industry partnerships

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing
  • Proven track record of publishing in NeurIPS, ICML, or CVPR
  • Strong background in reinforcement learning and neural architecture search
  • Experience with MLOps tools and deploying AI models at scale
  • Proficiency in Python, C++, and cloud platforms (AWS/GCP)
  • Ability to translate complex technical concepts for diverse stakeholders

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch NLP Computer Vision Reinforcement Learning MLOps

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