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Senior AI Research Scientist

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

Job Description

Join QuantumLeap AI's elite research division to pioneer the next frontier of artificial intelligence. As a Senior AI Research Scientist, you'll develop groundbreaking machine learning models that transform industries and shape the future of human-computer interaction. Collaborate with Nobel laureates and Turing Award winners in our state-of-the-art San Francisco lab, where innovation meets impact.

We offer unparalleled resources, flexible work arrangements, and equity opportunities for those ready to redefine what's possible in AI. Your work will directly influence our autonomous systems, natural language processing breakthroughs, and ethical AI frameworks.

Responsibilities

  • Design and implement novel deep learning architectures for multimodal AI systems
  • Lead research initiatives in reinforcement learning and generative adversarial networks
  • Publish top-tier conference papers (NeurIPS, ICML, CVPR) and secure patents
  • Mentor junior researchers and cross-functional engineering teams
  • Develop scalable ML pipelines for production deployment on cloud infrastructure
  • Collaborate with product teams to translate research into commercial applications
  • Establish ethical guidelines and bias mitigation strategies for AI deployments

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of applied research experience in deep learning/NLP/computer vision
  • Proven track record of peer-reviewed publications at top-tier venues
  • Expertise in PyTorch/TensorFlow and distributed ML frameworks
  • Strong mathematical foundation in linear algebra, calculus, and probability
  • Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools
  • Demonstrated ability to lead complex research projects from conception to deployment
  • Commitment to ethical AI development and transparent research practices

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow NLP Computer Vision Reinforcement Learning Research MLOps AWS GCP Ethics in AI

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