About the job
We are seeking a highly motivated and skilled senior Applied Research Engineer to join our team. The ideal candidate will have a strong background in developing and exploring capabilities of foundation models and multimodal large language models that integrate various types of data such as text, image, video, and audio. The ideal candidate should have familiarity with agentic AI, reasoning, and large-scale evaluations of agentic systems. In this role, you will work on ground breaking research projects to advance our AI and computer vision capabilities, contributing to both foundational research and practical applications.
Responsibilities
Conduct research and development on multimodal large language models, focusing on exploring and utilizing diverse data modalities.
Design, implement, and evaluate algorithms and models to enhance the performance and capabilities of our AI systems.
Collaborate with multi-functional teams, including researchers, data scientists, and software engineers, to translate research into practical applications.
Stay up-to-date with the latest advancements in AI, machine learning, and computer vision, and apply this knowledge to drive innovation within the company.
Qualifications
Minimum
Experience in developing, training/tuning foundation models and multimodal LLMs.
Programming skills in Python.
Master of Science and a minimum of 2 years of relevant industry experience.
Preferred
PhD in Computer Science, Electrical Engineering, or a related field with a focus on AI, machine learning, or computer vision.
Expertise in one or more of: computer vision, NLP, multimodal fusion, Generative AI, Self-Supervised Learning, Reinforcement Learning, Agentic AI.
Experience with at least one deep learning framework such as PyTorch, JAX, or similar.
Publication record in relevant venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, and ECCV.
Experience in leading ML initiatives and a proven record of shipping products.