Job Description
Join QuantumLeap Technologies at the forefront of AI innovation! We're seeking a visionary Senior Machine Learning Engineer to architect and deploy cutting-edge solutions that transform industries. Our Austin-based team operates at the intersection of quantum computing and deep learning, pushing boundaries in autonomous systems and predictive analytics. Enjoy competitive compensation, flexible work arrangements, and opportunities to publish research in top-tier journals.
Responsibilities
- Design and implement scalable ML pipelines using TensorFlow/PyTorch
- Lead model development for real-time decision-making systems
- Collaborate with quantum computing researchers to hybridize algorithms
- Optimize model performance on edge devices and cloud infrastructure
- Mentor junior engineers and conduct technical reviews
- Translate business requirements into ML solutions with measurable ROI
Qualifications
- MS/PhD in Computer Science, Physics, or related field
- 5+ years building production ML systems at scale
- Expertise in Python, C++, and distributed computing frameworks
- Strong statistical modeling and experimental design skills
- Experience with MLOps tools (Kubeflow, MLflow)
- Publications at NeurIPS/ICML or equivalent industry impact