Job Description
Are you ready to push the boundaries of artificial intelligence? Nexus AI Research Labs is seeking a visionary Senior Machine Learning Engineer to join our elite core team in San Francisco. You will be responsible for architecting scalable models that power the next generation of predictive analytics and generative systems.
We offer a high-impact environment where your code directly influences research breakthroughs. If you are passionate about deep learning, model optimization, and building robust MLOps pipelines, we want to talk to you.
Responsibilities
- Architect, develop, and deploy production-grade machine learning models.
- Optimize neural network architectures for low-latency inference in cloud environments.
- Collaborate with data scientists to translate research prototypes into scalable features.
- Design and maintain high-performance data pipelines for massive distributed datasets.
- Lead code reviews and contribute to the internal engineering culture and best practices.
- Stay at the forefront of AI research by implementing and testing state-of-the-art algorithms.
Qualifications
- Master’s or Ph.D. in Computer Science, AI, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering or data science.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Deep understanding of cloud infrastructure (AWS/GCP) and containerization tools like Kubernetes.
- Strong background in distributed systems and software engineering principles.
- Experience with large language models (LLMs) or generative adversarial networks (GANs).
- Excellent communication skills with the ability to explain complex technical concepts to non-experts.