Job Description
Are you a visionary engineer ready to shape the future of Artificial Intelligence? Vertex AI Labs is seeking a Senior Generative AI Engineer to lead the development of cutting-edge Large Language Models (LLMs) and multimodal systems. In this pivotal role, you will bridge the gap between theoretical research and production-scale deployment, building intelligent solutions that redefine user experiences.
Join a team of world-class researchers and engineers dedicated to pushing the boundaries of what is possible with Generative AI. We offer a competitive compensation package, comprehensive benefits, and a culture that fosters innovation and rapid growth.
Why Join Us?
- State-of-the-Art Technology: Work with the latest LLMs (GPT-4, Claude, Llama 3) and open-source frameworks.
- Impactful Work: Deploy AI solutions that directly impact millions of users.
- Competitive Compensation: Salary range $185k - $245k plus equity.
Responsibilities
- Design, train, and fine-tune large-scale foundation models using PyTorch and TensorFlow.
- Architect scalable MLOps pipelines for the deployment, monitoring, and retraining of AI models.
- Collaborate with product managers and data scientists to define AI requirements and technical roadmaps.
- Optimize model inference latency and cost-effectiveness for high-volume production environments.
- Conduct rigorous testing and validation to ensure model accuracy, safety, and ethical compliance.
- Stay abreast of the latest research in NLP, Computer Vision, and generative adversarial networks.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field; PhD preferred.
- 5+ years of experience in machine learning, deep learning, or natural language processing.
- Strong proficiency in Python, PyTorch, and Hugging Face Transformers.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Deep understanding of prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning methodologies.
- Proven track record of shipping production-ready ML models.