Job Description
Join QuantumLeap Technologies, a pioneering AI research lab revolutionizing healthcare diagnostics. We seek a visionary Senior Machine Learning Engineer to architect and deploy next-generation neural networks that analyze genomic data with unprecedented accuracy. You'll collaborate with Nobel Prize-winning researchers and translate complex biological challenges into scalable ML solutions.
Our state-of-the-art facility in San Francisco offers unlimited compute resources and a culture where innovation thrives. Enjoy competitive equity packages, flexible work arrangements, and dedicated R&D time to explore breakthrough projects.
Responsibilities
- Design and implement production-grade ML pipelines for genomic sequence analysis
- Lead research initiatives in transfer learning for rare disease detection
- Optimize deep learning models for edge deployment in medical devices
- Mentor junior engineers through technical workshops and code reviews
- Collaborate with bioinformaticians to validate clinical trial predictions
- Develop patentable algorithms for multi-omics data fusion
Qualifications
- PhD in Computer Science/ML or equivalent industry experience with 5+ years
- Proven expertise in PyTorch/TensorFlow and distributed training frameworks
- Published research in top-tier ML conferences (NeurIPS, ICML)
- Strong background in computational biology or genomics
- Proficiency in C++ for high-performance computing optimizations
- Experience deploying models on AWS/GCP with Kubernetes