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Information Technology 🏢 Full Time ⭐️ Verified

Senior Research Scientist - AI & Machine Learning

NeuroTech Innovations
Cambridge
Salary Estimate
USD 140.000 – USD 180.000
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Join NeuroTech Innovations at the forefront of artificial intelligence research. We're seeking a visionary Senior Research Scientist to pioneer breakthroughs in neural networks and machine learning algorithms. Our Cambridge-based R&D hub offers unparalleled resources and collaborative freedom to transform theoretical concepts into real-world applications. You'll work alongside Nobel laureates and industry pioneers in a culture that values intellectual curiosity and bold experimentation.

As part of our elite research team, you'll contribute to projects that redefine human-computer interaction and push the boundaries of computational intelligence. We provide competitive compensation, comprehensive benefits, and a dynamic environment where your ideas can flourish.

Responsibilities

  • Design and implement novel machine learning architectures for complex pattern recognition problems
  • Lead interdisciplinary research initiatives combining neuroscience and computational AI
  • Develop and validate experimental protocols for neural network optimization
  • Collaborate with engineering teams to translate research findings into scalable solutions
  • Secure and manage research funding through grant applications and industry partnerships
  • Mentor junior researchers and publish findings in top-tier scientific journals
  • Stay at the cutting edge of AI ethics and responsible innovation practices

Qualifications

  • PhD in Computer Science, Machine Learning, Neuroscience, or related field with 5+ years of industry experience
  • Demonstrated expertise in deep learning frameworks (PyTorch/TensorFlow) and distributed computing
  • Strong publication record in NeurIPS, ICML, or similar top-tier AI conferences
  • Proven ability to lead complex research projects with measurable outcomes
  • Proficiency in statistical analysis and experimental design for AI systems
  • Experience with high-performance computing clusters and GPU acceleration
  • Excellent communication skills with ability to articulate technical concepts to diverse audiences
  • Passion for advancing AI while maintaining ethical standards and human-centric design

Required Skills

Deep Learning Neural Networks PyTorch TensorFlow Statistical Modeling Distributed Computing Research Methodology Scientific Publishing

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