Job Description
Shape the Future of Generative AI
NeuralPath Systems is a pioneer in LLM-driven enterprise solutions. We are looking for an elite AI Engineer to join our core R&D team in San Francisco. If you are passionate about pushing the boundaries of machine learning and deploying models that scale to millions of users, this is the environment where you will thrive.
Responsibilities
- Design and implement scalable machine learning pipelines using PyTorch or TensorFlow.
- Optimize large language models (LLMs) for production-grade inference performance.
- Collaborate with cross-functional product teams to integrate AI capabilities into existing workflows.
- Conduct cutting-edge research in reinforcement learning and neural architecture search.
- Establish best practices for MLOps, model monitoring, and automated retraining.
- Mentor junior developers and contribute to the technical vision of the AI department.
Qualifications
- M.S. or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in deep learning or machine learning engineering.
- Expert-level proficiency in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow).
- Strong background in distributed computing and cloud infrastructure (AWS/GCP).
- Proven track record of deploying models into high-traffic production environments.
- Excellent communication skills with the ability to articulate complex technical concepts.