Applied AI Researcher at Loom, Inc. | Torre
Applied AI Researcher
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Loom, Inc.

Applied AI Researcher

Loom, Inc.
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Full-time

USD75.4K - 100K/year

~COP150M - 200M/year

+ Equity

+ Bonuses

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Hybrid (United States)
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Posted over 2 years ago

Requirements and responsibilities

Loom is the video communication platform for async work that helps companies communicate better at scale. Loom makes it easy to record quick videos of your screen and camera and instantly share them with a link. More than 20M users across 350k+ companies around the world trust Loom to share feedback, updates, intros, training, and more – every day. Founded in late 2015, Loom has raised $203M from world-class investors including Andreessen Horowitz, Sequoia, Kleiner Perkins, Iconiq, and Coatue. We are seeking a highly skilled and motivated Applied AI Researcher specializing in video and audio AI to join our dynamic team. As an Applied AI Researcher, you will play a pivotal role in advancing our cutting-edge technologies in computer vision, natural language processing, and audio analysis. Your expertise will contribute to the development of innovative solutions that leverage machine-learning techniques to solve complex problems in the realm of video and audio analysis and transformations. Responsibilities: - Conduct state-of-the-art research in machine learning, deep learning, and artificial intelligence with a focus on video and audio analysis. - Develop novel algorithms, models, and techniques to enhance video understanding, object recognition, activity recognition, speech recognition, audio classification, and other related areas. - Identify and analyze large-scale video and audio datasets to extract meaningful insights. - Experience in understanding, adapting, and fine-tuning open-source machine learning models for specific tasks. - Design, implement, and evaluate machine learning models and architectures for video and audio AI applications. - Optimize and fine-tune video and audio AI algorithms for performance, scalability, and resource efficiency. - Design rigorous experiments and conduct comprehensive evaluations to validate the effectiveness and robustness of video and audio AI models. - Collaborate with cross-functional teams, including researchers, engineers, and product managers, to understand requirements and translate them into actionable research projects. - Keep up-to-date with the latest advancements in machine learning, computer vision, and audio processing research.
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