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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Research Scientist

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join QuantumLeap Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI/ML Research Scientist to architect transformative systems that will redefine tomorrow's digital landscape. In this role, you'll collaborate with Nobel Prize-winning researchers to develop quantum-resistant algorithms, autonomous decisioning frameworks, and human-centric AI interfaces. Our state-of-the-art lab in San Francisco offers unparalleled resources for breakthrough research, including access to exascale computing clusters and real-world deployment channels.

Competitive compensation includes equity, comprehensive benefits, and flexible work arrangements designed for peak innovation. We foster a culture of intellectual curiosity where your ideas can shape the future of technology.

Responsibilities

  • Design and implement cutting-edge ML models for next-gen predictive analytics
  • Lead research in quantum-resistant cryptographic systems
  • Develop autonomous decisioning frameworks for edge computing environments
  • Collaborate with cross-functional teams to translate research into production-ready solutions
  • Author breakthrough publications in top-tier AI/ML journals
  • Contribute to patent development for novel AI methodologies
  • Mentor junior researchers in advanced AI techniques

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proven track record of deploying ML models at scale in cloud environments
  • Strong publication record in NeurIPS, ICML, or similar top-tier venues
  • Proficiency in PyTorch, TensorFlow, and distributed computing frameworks
  • Experience with MLOps tools (Kubeflow, MLflow) and CI/CD pipelines
  • Demonstrated ability to secure research funding through grants or partnerships

Required Skills

Machine Learning Deep Learning Quantum Computing AI Ethics PyTorch TensorFlow MLOps Reinforcement Learning

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