Job Description
Join QuantumLeap Labs at the forefront of technological evolution as we pioneer solutions for 2026's most complex challenges. We seek a visionary Senior AI Research Engineer to architect next-generation machine learning systems that will redefine industries. This role offers unparalleled opportunity to shape the future through cutting-edge research in quantum-enhanced neural networks and autonomous decision frameworks.
Our state-of-the-art San Francisco campus fosters collaboration between Nobel laureates and industry disruptors. You'll work on projects ranging from climate modeling to personalized medicine, with resources including a 500-qubit quantum computer and exascale computing clusters. We provide competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for peak innovation.
Responsibilities
- Design and implement novel AI architectures leveraging quantum computing principles
- Lead research initiatives in explainable AI and ethical machine learning frameworks
- Develop production-scale ML pipelines processing petabyte-scale datasets
- Mentor cross-functional teams in AI-first methodologies and best practices
- Collaborate with academic institutions on peer-reviewed publications
- Translate theoretical breakthroughs into deployable enterprise solutions
- Contribute to shaping industry standards for 2026's AI governance landscape
Qualifications
- PhD in Computer Science, Mathematics, or Physics with 5+ years industry experience
- Expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum programming languages
- Published research in top-tier AI/ML conferences (NeurIPS, ICML)
- Proven track record of deploying AI systems at scale (>1M users)
- Mastery of distributed computing and high-performance optimization techniques
- Strong background in Bayesian statistics and causal inference
- Demonstrated leadership in open-source AI initiatives
- Experience with MLOps and CI/CD for ML pipelines