Job Description
Join Nexus AI Solutions at the forefront of 2026's technological revolution! We're seeking a visionary Senior AI/ML Engineer to architect transformative machine learning solutions that will redefine industries. As a pioneer in generative AI and quantum-enhanced algorithms, you'll collaborate with Nobel-caliber researchers to deploy cutting-edge systems across healthcare, climate science, and autonomous systems. Our Austin headquarters features a state-of-the-art quantum computing lab and collaborative innovation spaces where your ideas will shape tomorrow's reality.
Enjoy unparalleled benefits including equity in our IPO-bound company, unlimited learning stipends for conferences like NeurIPS and ICML, and flexible remote work options. Your impact will directly influence how 500+ enterprise clients leverage AI for sustainable growth and breakthrough discoveries.
Responsibilities
- Architect and implement production-scale ML pipelines using TensorFlow, PyTorch, and quantum computing frameworks
- Lead development of generative AI models for medical diagnostics and climate modeling applications
- Collaborate with cross-functional teams to integrate AI solutions into enterprise SaaS platforms
- Research and implement novel neural network architectures for real-time data processing
- Optimize ML systems for edge deployment and quantum-hybrid computing environments
- Mentor junior engineers and establish best practices for MLOps and AI ethics
- Present breakthrough findings at industry conferences and contribute to open-source projects
Qualifications
- PhD in Computer Science, Machine Learning, or related field with 5+ years industry experience
- Expertise in deep learning, reinforcement learning, and transformer architectures
- Proven track record deploying ML models at scale with >99.9% uptime
- Proficiency in Python, C++, and quantum programming languages (Q# or Qiskit)
- Experience with cloud platforms (AWS/GCP/Azure) and container orchestration
- Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
- Strong background in AI ethics, bias mitigation, and responsible AI development