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Senior AI Research Scientist

QuantumLeap Labs
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of artificial intelligence innovation! We're seeking a visionary Senior AI Research Scientist to develop groundbreaking machine learning models that will redefine industry standards. In this pivotal role, you'll collaborate with cross-functional teams to architect next-gen AI systems, publish cutting-edge research, and translate theoretical breakthroughs into scalable solutions.

Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources for experimentation and collaboration. We foster a culture of intellectual curiosity where your ideas can shape the future of technology.

Responsibilities

  • Lead research initiatives in deep learning, natural language processing, and computer vision
  • Design and implement novel neural network architectures for complex problem domains
  • Publish high-impact research in top-tier conferences (NeurIPS, ICML, CVPR)
  • Collaborate with engineering teams to deploy research prototypes into production
  • Mentor junior researchers and contribute to technical documentation
  • Secure external funding through grant proposals and industry partnerships
  • Stay current with emerging AI trends and evaluate their strategic potential

Qualifications

  • PhD in Computer Science, Mathematics, or related field with 5+ years of industry experience
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Proven track record of peer-reviewed publications in AI/ML conferences
  • Strong background in statistical modeling and algorithm optimization
  • Experience with cloud platforms (AWS/GCP/Azure) for ML deployment
  • Excellent communication skills for technical and non-technical audiences
  • Portfolio of deployed ML systems handling terabyte-scale datasets
  • Preferred: Experience in reinforcement learning or generative models

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow Natural Language Processing Computer Vision Distributed Computing Research AWS GCP

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