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Information Technology 🏢 Full Time ⭐️ Verified

Advanced AI Research Scientist

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

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek visionary AI Research Scientists to develop transformative machine learning models that will shape the future of human-computer interaction. Our multidisciplinary team operates in a state-of-the-art facility where innovation meets impact.

Collaborate with world-class engineers to prototype next-gen neural networks, contribute to open-source frameworks, and publish breakthrough research in top-tier AI conferences. This role offers unparalleled opportunities to influence emerging technologies in autonomous systems, quantum computing integration, and ethical AI development.

Responsibilities

  • Design and implement cutting-edge deep learning architectures for complex real-world applications
  • Lead research initiatives in generative AI and multimodal learning systems
  • Develop scalable ML pipelines for production deployment in cloud-native environments
  • Collaborate with product teams to translate research into tangible user solutions
  • Author peer-reviewed publications and present findings at international conferences
  • Mentor junior researchers and foster a culture of scientific excellence

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent industry experience)
  • 5+ years of experience developing production-level AI systems
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • Strong publication record in NeurIPS/ICML/ICLR or equivalent venues
  • Proficiency in MLOps tools (Kubernetes, MLflow, Airflow)
  • Demonstrated ability to innovate in emerging AI domains
  • Experience with quantum computing or neuromorphic hardware preferred

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow Distributed Computing MLOps Research Generative AI Neural Networks

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