Job Description
Are you ready to architect the future of neural computing? Aether Dynamics is seeking a visionary Senior Machine Learning Engineer to join our elite R&D team in San Francisco. You will be at the forefront of developing scalable AI models that solve complex global challenges.
We offer a high-impact environment where your code directly influences cutting-edge technology. Enjoy flexible work arrangements, top-tier benefits, and a culture that prioritizes technical excellence and innovation.
Responsibilities
- Design and deploy scalable machine learning models in a production environment.
- Collaborate with research scientists to optimize neural network architectures.
- Improve data pipelines to ensure high-velocity ingestion and preprocessing.
- Mentor junior engineers and promote rigorous code review standards.
- Lead technical strategy for model interpretability and bias mitigation.
- Bridge the gap between experimental research and robust commercial applications.
Qualifications
- Master's or PhD in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience in deep learning frameworks like PyTorch or TensorFlow.
- Expertise in Python, C++, and distributed computing paradigms.
- Deep understanding of LLM optimization and fine-tuning techniques.
- Experience with cloud infrastructure (AWS/GCP/Azure) and Kubernetes.
- Proven track record of shipping production-grade ML solutions.
- Excellent communication skills for cross-functional collaboration.