Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution. We're pioneering AI-driven solutions that redefine industries, and we need exceptional talent to accelerate our mission. This role offers unparalleled opportunities to work with cutting-edge frameworks in a collaborative, future-focused environment. You'll shape AI systems that impact billions while growing your expertise in generative AI, neural networks, and ethical AI deployment.
Our San Francisco hub combines Silicon Valley innovation with sustainable practices. Enjoy competitive compensation, comprehensive benefits, and the chance to contribute to projects that will define the next decade of technological progress.
Responsibilities
- Design, develop, and deploy production-grade ML models for real-time applications
- Lead research into next-gen AI architectures including transformer variants and multimodal systems
- Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms
- Implement MLOps pipelines for scalable, reproducible AI workflows
- Drive innovation in ethical AI frameworks and responsible deployment strategies
- Mentor junior engineers and contribute to technical documentation
- Stay ahead of emerging trends in 2026's AI landscape through continuous learning
Qualifications
- 5+ years of experience in ML engineering with Python, PyTorch, and TensorFlow
- Proven track record deploying scalable AI systems in production environments
- Expertise in computer vision, NLP, or reinforcement learning domains
- Strong background in distributed computing and cloud architectures (AWS/GCP)
- PhD or Master's in Computer Science, Mathematics, or related field
- Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
- Experience with AI governance frameworks and ethical AI principles
- Portfolio demonstrating innovative AI projects with measurable impact