Job Description
Join QuantumLeap Systems at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We're seeking visionary AI/ML Engineers to develop transformative systems that will shape the future. In this role, you'll collaborate with cross-functional teams to architect, build, and deploy cutting-edge machine learning models that solve complex real-world challenges. Our culture emphasizes continuous learning, agile methodologies, and breakthrough thinking.
What You'll Experience:
- State-of-the-art R&D facilities in Austin's tech corridor
- Competitive equity package and comprehensive benefits
- Opportunities to publish research and speak at industry conferences
- Flexible hybrid work environment with innovation sabbaticals
Responsibilities
- Design and implement scalable ML pipelines for next-gen predictive analytics
- Lead research in generative AI and autonomous systems
- Optimize algorithms for edge computing and IoT integration
- Collaborate with product teams to define AI-driven feature roadmaps
- Ensure ethical AI deployment through bias mitigation and explainability frameworks
- Mentor junior engineers and conduct peer code reviews
- Stay current with emerging AI standards (ISO/IEC 24027, NIST AI RMF)
Qualifications
- MS/PhD in Computer Science, AI, or related field with 5+ years experience
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
- Proficiency in MLOps tools (Kubeflow, MLflow, SageMaker)
- Strong understanding of quantum computing fundamentals
- Certification in Responsible AI frameworks (e.g., Google's AI Ethics)
- Portfolio demonstrating end-to-end ML project deployments