Job Description
Are you ready to architect the future of autonomous intelligence? Nexus AI Labs is at the forefront of generative modeling and neural architecture search. We are seeking a visionary Senior Machine Learning Engineer to join our core research team in San Francisco. You will collaborate with elite researchers to translate theoretical breakthroughs into high-performance, scalable production systems that impact millions of users globally.
Responsibilities
- Design, train, and deploy advanced neural networks and deep learning models at scale.
- Optimize inference performance for complex models on distributed cloud infrastructure.
- Lead technical roadmap discussions for proprietary LLM fine-tuning and alignment.
- Collaborate with Data Science teams to refine feature engineering pipelines and data quality.
- Conduct code reviews and mentor junior engineers on best practices in ML engineering.
- Implement MLOps workflows to automate monitoring, versioning, and deployment cycles.
- Bridge the gap between experimental research and scalable production-ready software.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning, specifically deep learning architecture.
- Expertise in Python and core ML frameworks such as PyTorch or TensorFlow.
- Solid understanding of distributed computing, GPU clusters, and Kubernetes.
- Proven track record of shipping production-grade ML models in a cloud environment (AWS/GCP).
- Strong proficiency in C++ or CUDA is highly desirable for custom kernels.
- Ability to communicate complex technical concepts to non-technical stakeholders.