Job Description
Join Nexus Technologies at the forefront of 2026's AI revolution! We're seeking visionary engineers to build next-generation machine learning systems that will redefine industries. Our Austin-based innovation hub combines cutting-edge research with agile development to create transformative solutions for healthcare, climate tech, and autonomous systems.
You'll collaborate with world-class data scientists and product architects in a culture that values creativity, ethical AI, and sustainable innovation. This is your opportunity to shape the technological landscape of tomorrow while working with state-of-the-art infrastructure including quantum computing simulators and edge AI deployment platforms.
Responsibilities
- Design and implement scalable ML pipelines for predictive analytics and autonomous decision systems
- Develop novel neural architectures for real-time edge computing applications
- Lead ethical AI framework development ensuring bias mitigation and transparency
- Optimize models for quantum computing hybrid systems
- Create production-grade MLOps infrastructure for continuous deployment
- Mentor cross-functional teams on AI implementation best practices
- Pioneer responsible AI documentation and governance protocols
Qualifications
- 5+ years in ML engineering with production-level deep learning deployment
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- Strong background in ethical AI bias mitigation techniques
- Experience with quantum computing APIs (Qiskit, Cirq) or equivalent
- Proven track record of optimizing models for edge computing environments
- Advanced degree in Computer Science, AI, or related field
- Published research in top-tier AI conferences (NeurIPS, ICML) or equivalent impact