Job Description
Join QuantumLeap Technologies, a leader in quantum computing innovation, as we revolutionize scientific research through cutting-edge AI/ML solutions. We seek a visionary Senior Data Scientist to develop predictive models that accelerate breakthroughs in material science and computational biology. Collaborate with PhD researchers to transform complex datasets into actionable insights that shape the future of technology.
Our state-of-the-art lab features NVIDIA H100 GPUs and quantum annealing systems. Enjoy flexible work arrangements, unlimited learning stipends, and the opportunity to publish in top-tier journals. Help us solve humanity's most pressing challenges through data-driven discovery.
Responsibilities
- Design and implement advanced ML pipelines for multi-modal scientific datasets
- Develop predictive models for quantum algorithm optimization and material property forecasting
- Lead cross-functional projects with research scientists and engineering teams
- Deploy models into production using cloud-native MLOps frameworks
- Translate complex scientific findings into business impact metrics
- Mentor junior scientists and contribute to open-source research tools
Qualifications
- PhD in Computer Science, Physics, or related quantitative field (MS with 5+ years experience)
- Expertise in Python, PyTorch/TensorFlow, and distributed computing frameworks
- Proven track record in publishing peer-reviewed ML/AI research
- Experience with quantum computing APIs (D-Wave, IBM Qiskit)
- Strong knowledge of statistical modeling and experimental design
- Proficiency in high-performance computing environments
- Demonstrable impact in solving real-world scientific problems