Back to search
Description
We are looking for a senior applied research leader in multimodal reasoning. The role expects fluency in algorithm development and computation, ability to set up future facing research investigations, and leading cross functional teams on company wide efforts. Key attributes expected in the role is fluency with state of art LLM workflows (prompt optimization, post training / alignment, automatic evaluation, distributed training & inference). The role includes the opportunity to partner with world class system engineers to prototype and incorporate bleeding edge algorithmic innovations in the context of emerging agentic experiences. Ability to interface with large scale modeling & data infrastructure is a huge plus.
Minimum Qualifications
PhD, or MSc in Computer Science/Electrical Engineering, or a related field (mathematics, physics or computer engineering); with a focus on machine learning, or comparable professional experience Strong ML and Generative Modeling fundamentals Strong expertise in one of the following: Reinforcement Learning, Multimodal Training, Pre-training / Post-training foundation models Proficiency in using ML toolkits, e.g., PyTorch Proven track record of research contributions demonstrated through publications in top-tier conferences, or open source contributions to algorithm
Preferred Qualifications
Experienced in leading applied research efforts in Multimodal-LLMs Track Record in transitioning applied research initiatives to customer facing experiences Familiarity with distributed training and large-scale data infrastructure
Learn more about this Employer on their Career Site
