Applied Research Engineer - Multimodal LLMs for Human Interaction
Applied Research Engineer - Multimodal LLMs for Human Interaction
Posted on :
07-08-2025
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1 Vacancy
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Monthly Salary
USD 147400 - 272100
Vacancy
1 Vacancy
Posted on :
07-08-2025
Job Description
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 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 will:- 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.
- 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.
- 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.
Employment Type
Full Time
Key Skills
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