Job Description
At Nexus AI Labs, we are at the forefront of revolutionizing human-computer interaction through advanced Generative AI. We are seeking a visionary Senior Machine Learning Engineer to join our elite R&D team in San Francisco. You will be responsible for architecting and deploying large-scale machine learning systems that power our next generation of intelligent applications.
If you are passionate about pushing the boundaries of LLMs, fine-tuning foundation models, and solving complex scalability challenges, we want to hear from you.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art deep learning models, specifically focusing on Large Language Models (LLMs) and Computer Vision.
- Infrastructure Optimization: Build and maintain high-performance training and inference pipelines using distributed computing frameworks (e.g., Ray, Kubernetes).
- Research Integration: Stay abreast of the latest academic research and integrate novel techniques into production systems.
- Code Review & Mentorship: Lead technical reviews, contribute to the engineering codebase, and mentor junior engineers and data scientists.
- Deployment: Oversee the end-to-end deployment of models to cloud environments, ensuring high availability and monitoring.
Qualifications
- Education: MS or PhD in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Experience: 5+ years of professional experience in Machine Learning engineering or Applied Research.
- Programming: Expert proficiency in Python, C++, and deep learning frameworks (PyTorch or TensorFlow).
- Domain Knowledge: Proven track record working with NLP, Transformers, or Generative Adversarial Networks (GANs).
- Tools: Strong experience with MLOps tools (Docker, MLflow) and cloud platforms (AWS, GCP, or Azure).