Job Description
Are you ready to architect the future of artificial intelligence? Nexus AI Research Labs is seeking a visionary Senior Machine Learning Engineer to join our high-impact team in San Francisco. You will be at the forefront of developing scalable neural architectures that solve complex real-world problems for global enterprises. We offer a culture of radical transparency, rapid iteration, and the opportunity to work with bleeding-edge hardware.
Responsibilities
- Design and implement scalable deep learning models in production environments.
- Optimize neural network performance for high-throughput inference on distributed GPU clusters.
- Collaborate with research scientists to bridge the gap between theoretical models and practical applications.
- Mentor junior engineers on best practices for MLOps and automated CI/CD pipelines.
- Conduct rigorous code reviews and architectural audits to ensure high system reliability.
- Lead data engineering initiatives to curate and process massive, multi-modal datasets.
- Contribute to the strategic roadmap of our proprietary AI infrastructure.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning or software engineering.
- Expert-level proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Solid understanding of distributed computing (e.g., Kubernetes, Ray, or Spark).
- Demonstrated experience in shipping large-scale ML systems to production.
- Strong grasp of linear algebra, calculus, and probabilistic modeling.
- Proven ability to translate complex business requirements into elegant technical solutions.