Job Description
Are you ready to architect the future of autonomous intelligence? Aether Dynamics is seeking a visionary Senior Machine Learning Engineer to join our core research and development team. You will work at the intersection of deep learning and high-performance computing to solve complex, real-world challenges in predictive modeling.
We offer a collaborative, cutting-edge environment where your code directly impacts our scalable neural networks and proprietary data pipelines.
Responsibilities
- Design, train, and deploy advanced neural network architectures for large-scale production environments.
- Optimize machine learning models for low-latency inference and high-throughput data processing.
- Collaborate with research scientists to prototype new algorithms and iterate on experimental designs.
- Mentor junior engineers and contribute to high-level system architectural decisions.
- Build and maintain robust data pipelines using distributed computing frameworks.
- Conduct code reviews and ensure engineering excellence across the ML stack.
Qualifications
- Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering or applied research.
- Expertise in Python and deep learning frameworks like PyTorch or TensorFlow.
- Solid understanding of distributed systems and cloud infrastructure (AWS/GCP).
- Experience with GPU acceleration (CUDA) and high-performance computing.
- Proven track record of deploying models into production environments.