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 autonomous systems. Work in our state-of-the-art facility where cutting-edge research meets real-world application. Collaborate with Nobel laureates and disrupt industries with your expertise in deep learning and neural networks.
What you'll achieve:
- Design production-level ML systems serving 10M+ users
- Lead cross-functional teams from prototype to deployment
- Publish research in top-tier conferences (NeurIPS, ICML)
- Shape our AI roadmap with strategic technical direction
Responsibilities
- Architect scalable ML pipelines using TensorFlow/PyTorch
- Optimize models for edge computing and cloud deployment
- Implement MLOps pipelines for automated model retraining
- Conduct A/B tests on ML systems with statistical rigor
- Mentor junior engineers in ML best practices
- Translate business requirements into technical specifications
- Ensure ethical AI deployment through bias mitigation
Qualifications
- 5+ years ML engineering experience in production environments
- PhD in Computer Science or equivalent practical expertise
- Proficiency in Python, C++, and distributed computing frameworks
- Published research in top-tier ML conferences
- Expertise in computer vision or NLP domains
- Experience with Kubernetes and cloud services (AWS/GCP)
- Strong background in statistical modeling and algorithms
- Track record of shipping ML products at scale