Machine Learning Engineer, Bard

As a Machine Learning Engineer on the Bard team, you will be at the forefront of conversational AI development. You'll work on developing and deploying cutting-edge language models that power Bard, Google's experimental conversational AI service. This role involves a blend of research, engineering, and product development, with a focus on creating intuitive, helpful, and safe AI interactions. Responsibilities: - Design, implement, and deploy large-scale machine learning models for natural language understanding and generation. - Collaborate with researchers and product managers to define model architectures, training strategies, and evaluation metrics. - Optimize model performance, efficiency, and scalability for production environments. - Conduct experiments, analyze results, and iterate on model improvements. - Stay up-to-date with the latest advancements in NLP and deep learning. Qualifications: - Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. - Strong programming skills in Python and experience with ML frameworks like TensorFlow or PyTorch. - Experience with deep learning models, particularly transformers and large language models (LLMs). - Familiarity with distributed training and cloud computing platforms (e.g., GCP). - Excellent problem-solving and analytical skills. Benefits: - Competitive salary and benefits package. - Opportunity to work on a highly visible and impactful product. - Access to Google's world-class research and infrastructure. - Professional development and growth opportunities.