Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering AI systems that will redefine industries by the end of this decade. As an AI/ML Engineer, you'll architect cutting-edge solutions for autonomous systems, predictive analytics, and human-AI collaboration. Our San Francisco hub offers unmatched resources to transform theoretical models into real-world impact.
We provide competitive equity packages, unlimited learning stipends, and flexible hybrid work arrangements. This role directly contributes to our 2026 roadmap for ethical AI deployment and quantum-computing integration.
Responsibilities
- Design and implement ML pipelines for next-generation autonomous systems
- Develop predictive models with 99.9%+ accuracy for enterprise clients
- Optimize AI architectures for edge computing and quantum compatibility
- Lead cross-functional teams in deploying AI solutions at scale
- Research and prototype novel neural network architectures
- Ensure ethical AI alignment through bias mitigation frameworks
- Contribute to open-source projects shaping 2026's AI standards
Qualifications
- MSc/PhD in Computer Science, AI, or related field
- 5+ years building production ML systems with PyTorch/TensorFlow
- Expertise in reinforcement learning and generative models
- Experience with quantum computing frameworks (Qiskit, Cirq)
- Published research in top-tier AI conferences (NeurIPS, ICML)
- Proficiency in distributed computing (Spark, Kubernetes)
- Strong background in AI ethics and responsible AI practices
- Track record of shipping products with 1M+ users