(Nice to have) Knowledge of Mobile/IoT for deploying ML models at the edge is a plus Experience building Deep Learning, Gen AI - Computer Vision or Natural Language Processing models using the frameworks Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) BS, MS or Ph.D. degree in Computer Science or related quantitative field (Nice to have) Experience of launching a product / service or application into market is a plus Data science background and experience manipulating/transforming data, model selection, model training, model optimization and deployment at scale Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies (Nice to have) Contributed to an Open Source project, submitted PRs for features/ fixed bugs and/or created sample applications in OSS or participated in Kaggle competitions Experience working with internal and external partners Solid understanding of at least one Deep Learning framework (PyTorch, Tensorflow, Jax) Experience influencing technical and business stakeholders through presentations, written proposals, and partner engagements Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience applying relevant AI and machine learning techniques to build production solutions Experience deploying production-grade machine learning solutions on public cloud platforms (like AWS)
$149,000/year to $210,000/year + bonus + equity + benefits
