Job Description
Are you ready to architect the future of autonomous systems? Nexus Robotics & AI is seeking a visionary Senior Machine Learning Engineer to join our high-impact R&D team in San Francisco. You will lead the development of cutting-edge generative models, driving innovation that transforms how machines interpret and interact with complex physical environments.
We offer a dynamic, collaborative culture, top-tier compensation, and the rare opportunity to solve problems that have never been tackled before.
Responsibilities
- Design and deploy large-scale generative AI models for robotics applications.
- Collaborate with hardware and software teams to integrate ML pipelines into real-time systems.
- Conduct high-impact research to optimize model performance, latency, and throughput.
- Mentor junior engineers and promote best practices in MLOps and version control.
- Drive the full lifecycle of AI features from rapid prototyping to production-scale deployment.
- Represent the company in technical conferences and patent filings.
Qualifications
- MS or PhD in Computer Science, Robotics, or a related quantitative field.
- 5+ years of production experience with PyTorch, TensorFlow, or JAX.
- Expertise in Transformer architectures, Diffusion models, or Reinforcement Learning.
- Strong proficiency in C++ and Python for high-performance computing.
- Proven track record of deploying ML models in resource-constrained environments.
- Excellent communication skills with the ability to translate complex research into scalable products.