Job Description
Join Nexus AI Labs at the forefront of 2026's technological revolution! We're pioneering autonomous systems that will redefine industries by 2026, and we need visionary engineers to architect tomorrow's solutions. This role offers unparalleled opportunities to shape AI ethics, develop generative models, and deploy scalable machine learning pipelines in a startup culture backed by $200M+ in funding.
What you'll experience: Cutting-edge R&D, equity ownership, and flexible remote work options. Our team combines Nobel laureates with ex-DeepMind researchers to build ethical AI that augments human potential.
Responsibilities
- Design and implement production-grade ML systems for 2026-era autonomous decision-making frameworks
- Lead development of generative AI models with 10B+ parameter capabilities
- Architect ethical AI governance frameworks aligned with 2026 regulatory landscapes
- Collaborate with quantum computing teams to accelerate neural network training
- Pioneer human-AI co-creation interfaces using AR/VR integration
- Optimize ML pipelines for edge deployment in resource-constrained environments
- Mentor junior engineers in emerging AI paradigms
Qualifications
- 5+ years in ML engineering with 3+ years in generative AI or autonomous systems
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- PhD or equivalent in CS/ML with published research in top-tier conferences
- Proven track record deploying models at scale (>10M users)
- Strong background in AI ethics and bias mitigation
- Experience with quantum ML algorithms and hybrid computing
- Proficiency in Rust/C++ for performance-critical components
- Portfolio demonstrating 2026-relevant AI innovations