Job Description
Join QuantumLeap Labs at the forefront of AI innovation! We're seeking a visionary Senior Machine Learning Engineer to architect cutting-edge solutions that transform industries. Work with elite teams in our state-of-the-art San Francisco R&D center, collaborating on quantum computing integration and next-gen neural networks. Enjoy unparalleled benefits including equity, flexible schedules, and continuous learning stipends. Your work will directly impact how humanity interacts with technology.
Responsibilities
- Design and implement scalable ML pipelines for quantum-classical hybrid systems
- Lead research initiatives in transfer learning and federated architectures
- Optimize model performance using PyTorch and TensorFlow on GPU clusters
- Collaborate with cross-functional teams to deploy production-grade AI solutions
- Mentor junior engineers and contribute to open-source projects
- Stay ahead of emerging trends in quantum machine learning and NLP
Qualifications
- MS/PhD in Computer Science, Mathematics, or related field
- 5+ years of experience in production ML systems
- Expertise in Python, C++, and distributed computing frameworks
- Published research in top-tier conferences (NeurIPS, ICML)
- Strong background in linear algebra and probability theory
- Experience with cloud platforms (AWS/Azure) and MLOps tools
- Portfolio demonstrating impactful ML applications