Multimodal ML Engineer

In this role, you will be at the forefront of inventing AI/ML algorithms with real-world applications and ensuring the efficient evaluation of these models to be in production at scale. You will be interacting closely with a variety of ML researchers, software engineers, hardware and designers. You will address open-ended business objectives, from the ML problem and navigate through ambiguities to focus on technology development. You will be delivering solutions on time and with high quality standing up to the standards considering a customer facing product. Responsibilities: Research, develop and improve multimodal capabilities (e.g. vision-language). Examples include, but not limited to, aligning language guidance to the space of visual perception, aligning image recommendations to the space of conversation understanding and behavioral modeling Adapt pre-trained models for downstream tasks; building evals for new modal capabilities Work across the entire ML development cycle, from setting up data collection pipelines to model evaluation Analyzing model behavior and finding weaknesses; drive design decisions with in-depth failure analysis Team up with algorithm engineers to build end-to-end pipelines that prioritize rapid iterations in support for reliability of a complex multi-year project Work cross-functionally to bring algorithms to real-world applications; this can span a wide range of teamworks with designers, clinical authorities, engineering specialists across HW and SW