Job Description
Are you ready to push the boundaries of artificial intelligence? Nexus AI Labs is seeking a visionary Senior Machine Learning Engineer to join our core research and development team in San Francisco. You will be instrumental in architecting scalable models that power next-generation predictive engines used by millions globally.
We offer a high-impact environment where your code directly translates into groundbreaking technological advancements. Join us as we solve complex problems in deep learning, computer vision, and natural language processing.
Responsibilities
- Design, implement, and deploy scalable machine learning models in production environments.
- Collaborate with research scientists to translate high-level prototypes into efficient code.
- Optimize neural network architectures for performance and latency reduction.
- Build and maintain robust data pipelines for large-scale dataset ingestion and processing.
- Mentor junior engineers and promote best practices in MLOps and software development.
- Conduct rigorous code reviews and participate in architectural design sessions.
- Monitor model performance and implement retraining strategies for continuous improvement.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning or data science roles.
- Advanced proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
- Solid understanding of distributed computing and experience with Spark or similar frameworks.
- Proven track record of deploying models into production using Docker and Kubernetes.
- Strong background in data structures, algorithms, and software engineering principles.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.