Job Description
At Nexus AI Research Labs, we are pushing the boundaries of generative models and autonomous systems. We are seeking a visionary Senior Machine Learning Engineer to join our core research team in San Francisco. You will be instrumental in architecting scalable neural networks that solve complex real-world challenges.
You will work in a high-impact environment alongside industry-leading researchers, utilizing state-of-the-art infrastructure to turn abstract concepts into production-ready intelligence.
Responsibilities
- Design and implement scalable machine learning pipelines for large-scale data processing.
- Lead the optimization of transformer-based architectures for inference efficiency.
- Collaborate with research scientists to prototype and deploy cutting-edge algorithms.
- Conduct rigorous code reviews and provide technical mentorship to junior engineers.
- Maintain high standards of model observability, versioning, and reproducibility.
- Analyze performance bottlenecks and implement creative architectural solutions.
- Contribute to the ongoing development of internal MLOps tooling and best practices.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of hands-on experience in productionizing machine learning models.
- Expert-level proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
- Deep understanding of distributed computing (Ray, Kubernetes, or Spark).
- Proven track record of deploying models to cloud environments (AWS, GCP, or Azure).
- Strong knowledge of data structures, algorithms, and system design patterns.
- Excellent communication skills with the ability to articulate complex technical concepts.