Job Description
At Nexus AI Labs, we are building the future of autonomous intelligence. We are seeking a visionary Senior Machine Learning Engineer to join our core R&D team in San Francisco. You will lead the design and deployment of large-scale neural network architectures that power our proprietary predictive engine.
You will work in a high-impact environment where your code directly shapes the next generation of generative AI products. We value innovation, rigorous engineering, and a collaborative spirit.
Responsibilities
- Architect, train, and deploy high-performance ML models for complex data sets.
- Optimize neural network inference speeds for real-time production environments.
- Collaborate with data scientists and software engineers to integrate AI capabilities into the core platform.
- Conduct cutting-edge research to improve model accuracy and operational efficiency.
- Mentor junior engineers and champion best practices in MLOps and version control.
- Maintain automated testing pipelines to ensure high reliability across deployment cycles.
- Analyze large-scale production logs to identify bottlenecks and feature opportunities.
Qualifications
- MS or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering or data science.
- Expert-level proficiency in Python and deep learning frameworks like PyTorch or JAX.
- Solid understanding of distributed computing and cloud-based infrastructure (AWS/GCP).
- Proven track record of deploying models into high-traffic production environments.
- Strong background in linear algebra, statistics, and optimization algorithms.
- Exceptional problem-solving skills and ability to communicate technical concepts to stakeholders.