Job Description
Join Quantum Leap Dynamics at the forefront of technological evolution as we build the AI infrastructure for 2026. We're seeking a visionary Senior AI/ML Engineer to architect transformative solutions that will redefine industries. Our Austin-based innovation hub combines cutting-edge research with real-world deployment, offering unparalleled opportunities to shape the future of artificial intelligence.
This hybrid role demands strategic thinking and hands-on expertise in deploying scalable ML systems. You'll collaborate with cross-functional teams to develop next-generation AI applications while mentoring junior engineers. We offer competitive equity packages, flexible work arrangements, and a culture that celebrates breakthrough innovation.
Responsibilities
- Architect and implement production-grade ML pipelines for large-scale predictive systems
- Lead research initiatives in generative AI and neural network optimization
- Collaborate with product teams to integrate AI solutions into enterprise platforms
- Establish ethical AI frameworks and bias mitigation protocols
- Mentor engineering talent through technical workshops and code reviews
- Drive innovation in edge computing and distributed ML architectures
- Contribute to open-source projects that advance the AI community
Qualifications
- 8+ years in ML engineering with 3+ years in senior leadership roles
- Expertise in TensorFlow, PyTorch, and distributed ML frameworks
- Proven track record deploying models at scale (>10M users)
- PhD or MS in Computer Science/ML with published research
- Strong background in cloud platforms (AWS/GCP/Azure)
- Experience with MLOps tools (Kubeflow, MLflow, BentoML)
- Demonstrated ability to translate business requirements into technical solutions
- Portfolio of deployed AI systems with measurable impact