Job Description
Join QuantumLeap AI's elite R&D team to revolutionize artificial intelligence applications. We're seeking a visionary Senior Machine Learning Engineer to architect next-gen AI systems for autonomous robotics and predictive analytics. You'll collaborate with world-class researchers in our state-of-the-art Silicon Valley lab, transforming theoretical models into production-ready solutions that impact millions. This role offers unparalleled growth opportunities in a dynamic, startup-scale environment with enterprise-grade resources.
Responsibilities
- Design and implement scalable ML pipelines for real-time data processing
- Lead model development using PyTorch/TensorFlow for computer vision applications
- Optimize algorithms for edge deployment on IoT devices
- Conduct rigorous A/B testing and statistical analysis for model validation
- Mentor junior engineers on MLOps best practices
- Publish research in top-tier AI conferences and journals
Qualifications
- PhD or MS in Computer Science/ML with 5+ years industry experience
- Expertise in deep learning frameworks and distributed computing
- Strong publication record in NeurIPS/ICML/ICLR
- Proficiency in Python, C++, and cloud platforms (AWS/GCP)
- Experience with reinforcement learning and generative models
- Proven ability to translate complex algorithms into production code