Job Description
Join QuantumLeap Dynamics at the forefront of 2026's technological revolution. We're pioneering AI-driven solutions that will redefine industries by 2026, and we need visionary engineers to shape tomorrow's reality today. Our Austin hub offers a collaborative environment where cutting-edge research meets real-world impact. Enjoy competitive compensation, flexible work arrangements, and the opportunity to work on projects that will fundamentally change how humanity interacts with technology.
As an AI Research Engineer, you'll develop advanced machine learning models, explore neural network architectures, and translate theoretical concepts into scalable solutions. You'll collaborate with cross-functional teams to deliver innovations that anticipate future market needs and solve complex global challenges.
Responsibilities
- Design and implement next-gen AI algorithms for predictive analytics and autonomous systems
- Lead research initiatives in quantum-computing-adjacent neural networks
- Develop scalable ML pipelines processing petabytes of real-time data
- Collaborate with product teams to translate research into commercial applications
- Author peer-reviewed publications and patents for 2026-era AI breakthroughs
- Mentor junior researchers and contribute to open-source AI frameworks
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry experience
- Expertise in transformer architectures, reinforcement learning, and federated learning
- Proficiency in PyTorch/TensorFlow and distributed computing frameworks
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
- Experience deploying production-grade ML systems at scale
- Strong understanding of ethical AI development and bias mitigation
- Ability to communicate complex technical concepts to diverse stakeholders