Job Description
Join QuantumLeap Labs at the forefront of AI innovation! We're seeking a visionary Senior Machine Learning Engineer to architect transformative solutions for Fortune 500 clients in healthcare, climate science, and autonomous systems. Our multidisciplinary team combines quantum computing principles with deep learning to solve humanity's most complex challenges. Enjoy cutting-edge resources, flexible work arrangements, and equity in a rapidly scaling tech unicorn.
What You'll Experience:
- Collaborate with Nobel laureates and MIT-affiliated researchers
- Deploy models serving 10M+ users across 47 countries
- Access our $2M+ GPU compute cluster and quantum annealing hardware
- Lead open-source projects with 50K+ GitHub stars
Responsibilities
- Design and productionize ML pipelines for predictive analytics in climate modeling
- Develop federated learning frameworks for multi-institutional healthcare research
- Optimize neural network architectures using quantum-inspired algorithms
- Mentor junior engineers through our patent-focused R&D program
- Translate academic research into deployable SaaS solutions
- Architect MLOps infrastructure for real-time inference at edge devices
- Present findings at NeurIPS/ICML conferences and peer-reviewed journals
Qualifications
- PhD in Computer Science/ML or equivalent industry experience (8+ years)
- Published research in top-tier ML/AI conferences (NeurIPS, ICML, ICLR)
- Expertise in PyTorch/TensorFlow with production deployment at scale
- Strong background in Bayesian statistics and probabilistic programming
- Proficiency with Kubernetes, AWS SageMaker, and distributed computing
- Contributions to major ML frameworks (e.g., TensorFlow, Hugging Face)
- Experience with quantum computing APIs (D-Wave, IBM Qiskit)
- Strong publication record in peer-reviewed journals