Job Description
Join Nexus Dynamics at the forefront of technological evolution to architect the AI landscape of 2026. We're seeking visionary engineers to build transformative machine learning systems that will redefine industries. Our cutting-edge R&D hub in San Francisco offers unparalleled resources to pioneer next-gen AI solutions while collaborating with Nobel laureates and industry pioneers. This role offers equity, unlimited PTO, and a $15,000 annual learning stipend to ensure you stay ahead of the curve.
Responsibilities
- Design and deploy scalable ML pipelines for real-time predictive analytics
- Lead research in generative AI and neural network optimization
- Collaborate with quantum computing teams to hybridize classical and quantum ML models
- Architect ethical AI frameworks aligned with 2026 regulatory standards
- Mentor junior engineers in emerging AI paradigms
- Present findings at global tech conferences (AWS re:Invent, NeurIPS)
Qualifications
- MS/PhD in Computer Science, AI, or related field
- 5+ years building production ML systems at scale
- Expertise in PyTorch/TensorFlow and distributed computing
- Published research in top-tier ML/AI conferences
- Experience with MLOps tools (Kubeflow, MLflow)
- Strong understanding of federated learning and differential privacy
- Portfolio demonstrating 3+ deployed AI products