In this role, you’ll join our growing team of world-class machine learning engineers and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices. Our ML team’s work is focused on designing, deploying, and monitoring production models which extract or predict relevant clinical findings from structured and unstructured data sources.
The role focuses on applied algorithms and engineering — using recent advances in DL/LLMs to develop new features and products. This role provides an opportunity to work on cutting-edge LLM technologies, deploy impactful solutions in production, and shape the future of AI-driven features and products at Gloass.ai.
The App Ads Team develops and maintains Machine Learning models for predictions regarding user conversions after engaging with Reddit, playing a crucial role in optimizing advertising effectiveness and driving business growth. This role involves developing advanced deep learning models, designing strategies for signal loss mitigation, and implementing new model architectures.
Build systems to generate and edit designs, working closely with ML engineers, backend engineers, frontend engineers, designers, and PMs. Own the full lifecycle of features from design docs and stakeholder alignment through implementation, testing, and maintenance. Stay across state-of-the-art advancements in deep learning and generative AI. Facilitate knowledge sharing and advocating for engineering needs with non-technical stakeholders.