Multimodal AI Research Lead/Sr. Manager

Location

Bangalore | India

Job description

• As a senior researcher, you will invent and develop the next generation of AI based multimodal image, audio, and speech technologies. With an in-depth understanding of the latest AI technologies and a good understanding of audio/video technologies, you will explore the applications of AI to the delivery, analysis, and creation of multimedia technologies including video and audio enhancement, analysis, classification, and separation.

• You will define and lead research initiatives that leverage cross-media intelligence and analytics, invent multimodal machine learning algorithms, and utilize a deep understanding of multimodal perception to develop the next generation of multimedia technologies.

• As a leader, you will direct and mentor a group of AI researchers working in the application of AI to multimodal analysis, processing, playback, and enhancement technologies. You will work with your team as a coach and mentor. You are passionate about developing junior, highly talented staff into researchers that work fully independently in a corporate environment.

• Jointly with Dolby s world-class global research teams, you will set directions, identify projects, and build the next wave of AI based technologies driving Dolby s cloud and licensing business.

• You work with ATG technology leaders to co-define projects and assign your staff to global R&D initiatives led by other technology initiative leads. Work jointly with upper management, lead resource and work allocation.

• You will also work with Dolby s Business Groups (BG) to bring the research to life in many products, working closely with product managers, program managers, and BG engineering teams worldwide.

• Contribute to developing a dynamic, flexible, transparent, results-oriented and innovative working atmosphere.

Education and desired experience

• Ph.D. plus 8 years of corporate research experience with a degree in Physics, Electrical Engineering, Mathematics, Computer Science with a strong focus on AI.

• You are an absolute top expert in AI with a deep and thorough theoretical understanding of the latest state-of the art AI technologies. You have a detailed understanding of all main network architectures, deployment modes, data augmentation and preparation, and theoretical performance analysis of model architectures. Knowledge of NLP and/or multi-modal architectures is highly desired. You have a good understanding of:
  • Diffusion, autoregressive, or other generative models.
  • Self-supervised, contrastive learning, auto-encoders.
  • Audio, image, or text applications Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc.
  • Multimodal architectures and algorithms.

• Diffusion, autoregressive, or other generative models.

• Self-supervised, contrastive learning, auto-encoders.

• Audio, image, or text applications Source separation, text-to-speech, music synthesis, image segmentation, image captioning, question answering, language models, etc.

• Multimodal architectures and algorithms.

• You have a track record of successfully applying AI technologies to multimodal problems including the combination of audio and video technologies.

• You have deep knowledge of GPU/CPU implementations, algorithm validation and testing, implementation of ML/AI algorithms.

• Strong track of inventing, developing and productizing novel AI based technologies in an industrial research environment.

• Strong publication record, with publications in major machine learning conferences (e.g. NeurIPS, ICLR, ICML, etc.).

• Strong background in statistical signal processing, decision theory, greedy algorithms, Bayesian modelling, random algorithms, time series, hypothesis testing, classification, clustering, hypothesis testing and multilinear regression analysis.

• Experience with audio and video processing is a plus.

• Highly skilled in C/C++, Python, TensorFlow or PyTorch.

• Experience in managing, guiding and mentoring younger researchers.

• Team-oriented work ethic and interest to work in cross-continental teams.

• Excellent communication, collaboration, and presentation skills in English.

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