Job Description
Shape the Future of Generative AI
NeuralEdge Dynamics is at the bleeding edge of enterprise-grade AI solutions. We are seeking a visionary Senior AI Engineer to join our core research and development team in San Francisco. You will play a pivotal role in designing, training, and deploying large-scale language models that transform how global industries operate.
If you are passionate about pushing the boundaries of machine learning and thrive in a high-impact, collaborative environment, we want to hear from you.
Responsibilities
- Design and implement scalable deep learning architectures and transformer-based models.
- Optimize large-scale model training pipelines on distributed GPU clusters.
- Conduct cutting-edge research in RLHF and model alignment strategies.
- Collaborate with cross-functional product teams to translate complex AI research into high-performance user features.
- Mentor junior engineers and promote best practices in MLOps and experiment tracking.
- Evaluate and implement novel inference optimization techniques to reduce latency and costs.
- Stay at the forefront of AI research by contributing to open-source initiatives and whitepapers.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in deep learning, with at least 2 years focused on LLMs.
- Deep proficiency in Python and frameworks like PyTorch or JAX.
- Solid understanding of distributed systems and training orchestration (e.g., Kubernetes, Ray).
- Hands-on experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.
- Proven track record of deploying AI models into production environments at scale.
- Excellent communication skills with the ability to bridge the gap between abstract research and practical engineering.