Job Description
Join QuantumLeap Labs at the forefront of AI innovation! We're seeking a Senior Machine Learning Engineer to architect transformative solutions for our healthcare analytics platform. Collaborate with cross-functional teams to deploy cutting-edge models that impact millions of lives. Enjoy competitive compensation, flexible work arrangements, and unparalleled growth opportunities in San Francisco's dynamic tech ecosystem.
Responsibilities
- Design and implement scalable ML pipelines for real-time healthcare data processing
- Lead research and development of deep learning models for predictive diagnostics
- Optimize algorithms to achieve 99.9% accuracy in clinical decision support systems
- Mentor junior engineers and establish best practices for model deployment
- Collaborate with product teams to translate technical requirements into ML solutions
- Contribute to open-source projects and publish research in top-tier conferences
Qualifications
- PhD or Master's in Computer Science, Mathematics, or related field
- 5+ years of experience in production ML systems with Python/TensorFlow
- Proven expertise in NLP, computer vision, or healthcare analytics
- Strong background in distributed computing (AWS/GCP/Azure)
- Publication record in NeurIPS/ICML/ICLR or equivalent venues
- Experience with MLOps tools (Kubeflow, MLflow, Airflow)