Job Description
Join Nexus AI Solutions at the forefront of technological evolution as we architect the future of artificial intelligence. We're seeking visionary AI/ML Engineers to pioneer solutions that will redefine industries by 2026. Collaborate with elite teams in our state-of-the-art San Francisco hub, where innovation meets impact. This role offers unparalleled opportunities to shape next-gen AI frameworks while working with cutting-edge infrastructure and mentorship from industry pioneers.
Why Nexus AI? We're not just building for today—we're engineering the 2026 tech landscape. Our teams work on autonomous systems, quantum-ML hybrids, and ethical AI frameworks that will transform healthcare, climate tech, and beyond. Enjoy competitive equity, flexible hybrid work, and continuous learning stipends.
Responsibilities
- Design and deploy scalable ML pipelines for 2026-era autonomous systems
- Architect quantum-enhanced AI models for real-time decision-making
- Lead research in explainable AI and ethical algorithm development
- Collaborate with cross-functional teams to integrate AI into IoT ecosystems
- Optimize neural networks for edge computing in distributed networks
- Document and publish breakthrough findings in peer-reviewed venues
Qualifications
- PhD or MS in Computer Science/ML with 5+ years industry experience
- Expertise in PyTorch/TensorFlow and distributed ML frameworks
- Proven track record in deploying production AI systems at scale
- Strong background in quantum computing or neuromorphic engineering
- Publications in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Experience with MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS/GCP)