Job Description
Join QuantumLeap Technologies at the forefront of AI innovation! We're seeking a visionary Senior Machine Learning Engineer to architect cutting-edge solutions that transform industries. As part of our elite R&D team, you'll pioneer next-generation algorithms in a collaborative environment powered by NVIDIA's latest GPU infrastructure.
Our engineers work on projects ranging from quantum-encrypted neural networks to autonomous systems that save lives. With industry-leading benefits and unlimited learning opportunities, this is your chance to shape the future of technology.
Responsibilities
- Design and implement scalable ML pipelines for real-time data processing
- Lead research on novel deep learning architectures for computer vision applications
- Collaborate with cross-functional teams to deploy ML models in production environments
- Optimize algorithms for performance and accuracy using distributed computing frameworks
- Mentor junior engineers and establish best practices for model lifecycle management
- Translate complex business requirements into technical ML solutions
- Stay current with emerging AI research and publish findings in top-tier conferences
Qualifications
- PhD in Computer Science or related field with 5+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- Strong publication record in NeurIPS/ICML/ICLR or equivalent venues
- Proven experience deploying production ML systems at scale
- Deep understanding of reinforcement learning and generative models
- Proficiency in Python, C++, and GPU programming (CUDA)
- Ability to communicate complex technical concepts to non-technical stakeholders