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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Research Engineer - 2026 Vision

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's technological revolution. We're seeking an AI/ML Research Engineer to architect and deploy next-generation intelligent systems that will redefine industries. As a pioneer in quantum-enhanced machine learning, you'll collaborate with Nobel laureates and startup disruptors to solve humanity's grandest challenges. Our San Francisco campus offers unparalleled resources and a culture where your breakthrough ideas become reality.

Be part of our mission to create autonomous ethical AI systems that augment human potential while preserving privacy and equity. This role offers equity, unlimited PTO, and a relocation package for exceptional candidates worldwide.

Responsibilities

  • Design and implement quantum-enhanced ML algorithms for 2026-era applications
  • Lead research on explainable AI and bias mitigation frameworks
  • Develop production-grade systems with 99.99% reliability standards
  • Collaborate with cross-functional teams to deploy AI solutions across healthcare, climate tech, and finance
  • Author peer-reviewed publications and patents for breakthrough methodologies
  • Mentor junior engineers and present findings at global tech summits

Qualifications

  • PhD in Computer Science, Mathematics, or Physics with ML focus (or equivalent research experience)
  • Expertise in PyTorch/TensorFlow and quantum computing frameworks
  • Published work in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
  • Experience deploying models at scale with <10ms latency requirements
  • Strong background in ethical AI design and regulatory compliance
  • Proficiency in MLOps and CI/CD for AI systems
  • Portfolio demonstrating 3+ industry-transforming AI projects

Required Skills

Quantum Computing Machine Learning PyTorch TensorFlow MLOps Explainable AI Research Ethics High-Performance Computing

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