Job Description
Are you ready to build the next generation of intelligent systems?
Nexus AI Solutions is looking for a visionary Senior Machine Learning Engineer to join our elite R&D team in San Francisco. We are pioneering breakthroughs in Large Language Models (LLMs) and Generative AI, and we need a technical expert to lead our core infrastructure development.
In this role, you will not just write code; you will architect the future of human-computer interaction. If you thrive in a fast-paced, high-performance environment and want to solve complex problems at scale, we want to hear from you.
Responsibilities
- Design, develop, and deploy scalable machine learning models and neural networks with a focus on LLMs and NLP.
- Optimize model inference latency and improve throughput for real-time applications.
- Collaborate with data scientists and product managers to translate business requirements into technical solutions.
- Implement MLOps pipelines to automate model training, validation, and deployment.
- Conduct rigorous experimentation and A/B testing to drive model performance improvements.
- Mentor junior engineers and establish best practices for code quality and system architecture.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related field (4+ years of industry experience can substitute).
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of deep learning architectures, transformers, and optimization algorithms.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Proven track record of shipping production-grade machine learning systems.
- Excellent problem-solving skills and the ability to work in a collaborative, cross-functional team.