Job Description
Are you ready to shape the future of machine intelligence? NexusAI Research Labs is seeking a visionary Senior AI Engineer to join our core product team in San Francisco. You will work on cutting-edge generative models and large-scale inference systems that redefine how businesses interact with data. We are building the next generation of neural architecture, and we need your expertise to turn theoretical breakthroughs into scalable, real-world solutions.
Responsibilities
- Architect and implement robust, scalable generative AI models using PyTorch or TensorFlow.
- Optimize neural network performance for high-concurrency production environments.
- Collaborate with cross-functional product teams to translate business requirements into technical AI roadmaps.
- Conduct advanced research into model efficiency, quantization, and edge deployment strategies.
- Mentor junior machine learning engineers and foster a culture of technical excellence and peer review.
- Analyze large-scale datasets to identify patterns and refine training pipelines for improved model accuracy.
- Stay at the forefront of the AI landscape, presenting research findings to the internal engineering leadership team.
Qualifications
- Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of hands-on experience in building and deploying machine learning models at scale.
- Proficiency in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow).
- Deep understanding of Large Language Models (LLMs), Transformer architectures, and vector databases.
- Strong grasp of MLOps best practices, including CI/CD for machine learning and model monitoring.
- Experience with cloud infrastructure (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
- Proven track record of contributing to open-source projects or academic publications is a major plus.