Job Description
At NexusMind AI Labs, we are building the next generation of autonomous neural architectures. We are seeking a visionary Senior AI Engineer to join our core research and development team in San Francisco. You will lead the design, training, and deployment of large-scale generative models that push the boundaries of human-computer interaction.
This is a rare opportunity to shape the core infrastructure of a high-growth AI startup, working alongside industry-leading researchers and engineers in an environment that prioritizes deep work and technical excellence.
Responsibilities
- Design, architect, and optimize deep learning models for production-scale deployment.
- Collaborate with cross-functional teams to integrate generative AI capabilities into our core platform.
- Conduct cutting-edge research to improve model latency, efficiency, and accuracy.
- Maintain high code quality standards through rigorous peer reviews and automated testing.
- Mentor junior engineers and contribute to our internal technical documentation and research papers.
- Optimize model training pipelines using distributed computing frameworks.
Qualifications
- M.S. or Ph.D. in Computer Science, Machine Learning, Robotics, or a related quantitative field.
- 5+ years of professional experience in deep learning, with a focus on LLMs or Computer Vision.
- Expert-level proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
- Solid understanding of distributed systems and cloud infrastructure (AWS/GCP).
- Proven track record of deploying complex ML models into live production environments.
- Strong background in data structures, algorithms, and mathematical optimization.
- Ability to thrive in a fast-paced, iterative startup environment.