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Senior AI Research Engineer

NeuroTech Innovations
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Latest
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join NeuroTech Innovations at the forefront of AI research! We're seeking a visionary Senior AI Research Engineer to develop groundbreaking neural network architectures that will redefine human-computer interaction. In this pivotal role, you'll collaborate with world-class scientists to translate complex biological systems into scalable machine learning solutions.

Our state-of-the-art lab in San Francisco offers unparalleled resources for experimentation, including quantum computing access and proprietary neural datasets. You'll lead projects spanning natural language processing, computer vision, and neuromorphic computing, with direct impact on healthcare diagnostics and autonomous systems.

We offer competitive equity packages, flexible research budgets, and opportunities to publish in top-tier journals. If you're passionate about pushing AI boundaries and want your work to shape the future of technology, this is your calling.

Responsibilities

  • Design and implement novel deep learning architectures for complex pattern recognition
  • Lead cross-functional teams to integrate research prototypes into production systems
  • Develop cutting-edge NLP models for medical text analysis with 95%+ accuracy
  • Collaborate with neuroscientists to simulate brain-inspired computing paradigms
  • Publish findings in top-tier conferences (NeurIPS, ICML) and peer-reviewed journals
  • Mentor junior researchers and establish best practices for experimental validation
  • Secure research grants and partnerships with academic institutions

Qualifications

  • PhD or Master's in Computer Science/AI with 5+ years industry experience
  • Expertise in PyTorch/TensorFlow with 100+ deployed ML models
  • Published research in top-tier AI conferences or Nature/Science journals
  • Proven track record of converting academic research to commercial products
  • Strong background in computational neuroscience or bio-inspired computing
  • Experience with distributed training on GPU/TPU clusters
  • Exceptional problem-solving skills in ambiguous research environments
  • Fluency in Python, C++, and high-performance computing frameworks

Required Skills

Machine Learning Deep Learning Neural Networks NLP Computer Vision PyTorch TensorFlow Research Healthcare AI

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