Job Description
Join Nexus Innovations at the forefront of technological evolution as we build the intelligent systems that will define 2026 and beyond. We're seeking a visionary AI/ML Engineer to architect next-generation autonomous solutions that will reshape industries. This role offers unparalleled opportunity to work with bleeding-edge quantum computing interfaces and neural network architectures while contributing to projects with global impact.
Our dynamic R&D team operates at the intersection of theoretical research and practical application, offering competitive benefits, flexible work arrangements, and dedicated innovation time. You'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art facility overlooking the San Francisco Bay.
Responsibilities
- Design and implement novel deep learning architectures for predictive systems with 99.9%+ accuracy
- Lead development of autonomous decision-making frameworks for real-world applications
- Optimize neural network performance using quantum-inspired computing techniques
- Conduct rigorous A/B testing and statistical analysis for model validation
- Mentor junior engineers in ethical AI development practices
- Collaborate with cross-functional teams to integrate ML solutions into production systems
- Publish research findings in top-tier AI/ML journals and conferences
Qualifications
- PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
- 5+ years developing production-grade ML systems using TensorFlow/PyTorch
- Expertise in reinforcement learning, transfer learning, and generative models
- Proficiency in distributed computing frameworks (Spark, Kubernetes)
- Published work in NeurIPS, ICML, or equivalent tier conferences
- Strong background in ethical AI governance and bias mitigation
- Experience deploying ML models at scale (>10M user interactions)
- Fluency in Python, C++, and cloud architecture (AWS/GCP)