Job Description
Are you ready to architect the future of autonomous intelligence? Nexus AI Research Labs is seeking a visionary Senior Machine Learning Engineer to join our core research team in San Francisco. You will be at the forefront of generative AI, working with petabyte-scale datasets to push the boundaries of neural network architecture and optimization.
We offer a highly collaborative, research-first environment where your technical contributions directly influence industry-leading products. Join us as we solve complex challenges in computer vision and natural language processing.
Responsibilities
- Design, train, and deploy large-scale deep learning models in production environments.
- Collaborate with research scientists to convert experimental models into scalable, performant infrastructure.
- Optimize model inference latency and throughput for high-concurrency systems.
- Establish MLOps best practices, including automated testing, model versioning, and continuous integration pipelines.
- Mentor junior engineers and promote rigorous code quality and architectural standards.
- Lead technical initiatives to improve data pipeline efficiency and feature engineering workflows.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in building and shipping production-grade ML models.
- Expert-level proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Solid foundation in distributed computing and cloud-based architecture (AWS, GCP, or Azure).
- Experience with GPU optimization, CUDA programming, or custom operator development.
- Proven track record of publishing research or delivering complex AI-driven features in high-stakes environments.
- Excellent communication skills and the ability to thrive in a fast-paced, cross-functional team.