Job Description
Are you ready to shape the future of machine intelligence? At NeuralEdge Innovations, we are building autonomous systems that redefine industry standards. We are seeking a visionary Senior AI Engineer to join our core research and development team in San Francisco. You will work at the intersection of deep learning research and scalable production engineering, turning complex algorithms into real-world applications that impact millions of users globally.
We foster a culture of rapid experimentation, deep technical rigor, and collaborative growth. If you are passionate about pushing the boundaries of what is possible with Transformers, LLMs, and neural architecture search, we want to hear from you.
Responsibilities
- Architect and deploy scalable deep learning models for high-concurrency production environments.
- Collaborate with data scientists to optimize model inference pipelines and latency.
- Lead technical initiatives in generative AI, natural language processing, or computer vision.
- Stay at the forefront of AI research by implementing and adapting SOTA papers for core product features.
- Mentor junior engineering staff and drive best practices in code quality and testing.
- Implement rigorous monitoring and observability tools for model performance drift.
- Partner with product stakeholders to define the technical roadmap for AI-driven user experiences.
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 AI research.
- Expertise in Python and modern DL frameworks such as PyTorch or JAX.
- Proficiency with GPU-accelerated computing and distributed training techniques.
- Experience deploying models using Kubernetes, Docker, and cloud-native MLOps platforms (AWS or GCP).
- Proven track record of shipping production-grade AI features in high-traffic applications.
- Strong understanding of algorithmic complexity and software engineering fundamentals.