multimodal learning Jobs

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in foundation models and world models as a hands-on individual contributor. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products.

$320k - $400k

Plaid is seeking a Senior Research Scientist for its Fraud Data team. This role focuses on applied research to develop next-generation fraud detection models using advanced techniques like Graph Neural Networks and Transformer-based foundation models. You will partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid’s network. The team owns the full model lifecycle, from data processing and experimentation to feature pipelines, model serving, and monitoring. This position offers the opportunity to work with large-scale financial data and contribute to building tools that millions of people rely on for their financial health.

$229k - $315k

Deepgram is a leading platform for Voice AI, providing real-time APIs for speech-to-text and text-to-speech. We are seeking a Research Staff member to pioneer the development of Latent Space Models (LSMs), a novel approach to address fundamental data, scale, and cost challenges in building robust, contextualized voice AI. This role involves developing new paradigms for audio AI to make voice interaction accessible to everyone, moving beyond current sequence modeling limitations.

$150k - $250k

OpenAI

The Future of Computing Research team is seeking a Machine Learning Engineer to focus on multimodal perception and authentication. This role involves shaping how future AI systems understand the physical world and the people within it by integrating signals from various sensors like cameras and microphones. You will collaborate with specialized perception models, larger multimodal models, and partner with hardware, firmware, software, and product teams to translate research into real-world systems. This position is based in San Francisco and requires a hybrid work arrangement.

$342k - $399k