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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer the next wave of AI-driven solutions. As an AI Research Scientist, you'll shape the future by developing groundbreaking algorithms and models that will redefine industry standards by 2026. Our collaborative environment fosters innovation, offering competitive compensation, cutting-edge resources, and the opportunity to leave an indelible mark on the AI landscape. We value creativity, technical excellence, and a passion for solving humanity's most complex challenges.

Responsibilities

  • Design and implement advanced machine learning models for autonomous systems and predictive analytics
  • Lead cross-functional research initiatives integrating quantum computing with neural networks
  • Develop ethical AI frameworks ensuring bias mitigation and transparency
  • Collaborate with engineering teams to prototype and deploy research findings
  • Publish breakthrough research in top-tier journals and conferences
  • Mentor junior researchers and contribute to technical strategy
  • Stay ahead of emerging AI trends and regulatory landscapes

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 5+ years research experience
  • Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing APIs
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent venues
  • Strong background in reinforcement learning and natural language processing
  • Experience with MLOps pipelines and cloud deployment (AWS/GCP)
  • Exceptional problem-solving skills with ability to translate complex theories
  • Fluency in Python/C++ and distributed computing frameworks

Required Skills

Machine Learning Deep Learning Quantum Computing Python TensorFlow PyTorch Reinforcement Learning Natural Language Processing MLOps

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