Senior Staff AI Engineer

RESPONSIBILITIES · Provides, guides and uses professional concepts in developing resolution to critical issues. · Train and fine-tune models using LoRA and other parameter-efficient techniques · Design, train, and evaluate multimodal models from scratch · Apply reinforcement learning techniques to model development and optimization · Experience with audio/speech ML tasks such as speaker diarization and speaker identification · Deploy, debug, and maintain distributed systems in cloud environments · Optimize inference pipelines using tools and techniques such as TensorRT, quantization, and pruning · Monitor and maintain models in production, including handling data drift and system failures · Perform data gathering, cleaning, and curation to build high-quality training and evaluation datasets · Comfortable working with a gated, continuous deployment workflow that requires unit, component, and integration tests · Applies extensive knowledge of theories, practices and design matters. · Works on issues that impact program success or addresses future concepts and products. Implementation of solutions requires a longer-term view which impacts strategic goals and objectives spanning several functions. · Exercise a wide latitude in determining objectives and approaches to critical assignments. · Knowledge of media management strategies and distribution workflows · Work closely with Product and Operations to design and optimize workflows · Apply broad expertise and knowledge in highly specialized fields or several related disciplines · Contributes to development of company objectives across and principles to achieve goals · Work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles QUALIFICATIONS/REQUIREMENTS · Expert experience, understanding and knowledge of digital and broadcast production operations and workflows · 5+ years working with the AWS cloud · 1+ years working with the Azure cloud · Strong knowledge of industr