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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

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

Job Description

Join NeuroTech Innovations at the forefront of artificial intelligence revolution. We're seeking a visionary Senior AI Engineer to architect and deploy transformative machine learning solutions that redefine industry standards. Work alongside world-class researchers in our state-of-the-art San Francisco lab, where your innovations will directly impact millions of lives through autonomous systems, predictive analytics, and generative AI applications.

As a key member of our AI Excellence Team, you'll leverage cutting-edge infrastructure including our proprietary quantum-accelerated computing clusters and petabyte-scale data lakes. Enjoy unparalleled opportunities to publish research in top-tier conferences while shaping the ethical future of AI through our responsible development framework.

Responsibilities

  • Design and implement scalable ML pipelines for real-time inference systems serving >10M daily users
  • Lead development of novel neural architectures for computer vision and NLP applications
  • Optimize model performance using distributed training techniques on GPU/TPU clusters
  • Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms
  • Establish MLOps best practices for automated model deployment and monitoring
  • Mentor junior engineers while conducting peer reviews of algorithm implementations
  • Contribute to AI ethics framework development and bias mitigation strategies

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expert proficiency in Python, TensorFlow/PyTorch, and distributed ML frameworks
  • Proven track record deploying production-grade ML systems serving enterprise workloads
  • Deep understanding of transformer architectures, CNNs, and reinforcement learning
  • Strong background in cloud platforms (AWS/GCP) with containerization technologies
  • Research publication record at NeurIPS/ICML/ICLR or equivalent conferences
  • Experience with large-scale data processing and feature engineering pipelines
  • Excellent communication skills for technical documentation and stakeholder presentations

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Natural Language Processing Computer Vision AWS GCP MLOps Distributed Systems

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