Senior Staff Ai And Data Science Researcher/team Lead

Year    Bangalore, Karnataka, India

Job Description


Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you\'ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We\'re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work.

Play a key role as part of Dolby\'s new R+D Center in Bangalore as a Senior Research Leader in our Advanced Technology Group "ATG". ATG is the research and technology arm of Dolby Labs. It has multiple competencies that innovate on technologies in audio, video, AR/VR, multimodal applied to gaming, music, professional, broadcast and user-generated content. Many areas of expertise related to computer science and electrical engineering, such as AI/ML, computer vision, image processing, algorithms, digital signal processing, audio engineering, data science & analytics, distributed systems, cloud, edge & mobile computing, natural language processing, knowledge engineering and management, social network analysis, computer graphics, image & signal compression, computer networking, IoT are highly relevant to our research.

What you\'ll do

As a senior researcher, you will invent and develop the next generation of AI based image, audio, and speech technologies. With an in-depth understanding of the latest AI technologies, you will explore the applications of AI to the delivery, analysis, and creation of multimedia technologies.

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.

As a leader, you will manage and mentor a small group of AI researchers working in the application of AI to multimedia analysis, processing, playback, and enhancement technologies. You will guide data scientists that apply data science, machine learning, and statistical methods to large sets of multimedia, contextual, and metadata data helping to understand how users engage with interactive multimedia experiences delivered by Dolby.

Being a senior researcher, 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.

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 4-8 years of corporate research experience/Masters plus 9 -11 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 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.

Experienced in designing experiments, defining hypotheses, and developing statistical model to reach a scientifically sound conclusion.

Experience with audio and video processing is a plus.

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

Experience in 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.

Ph.D. or master\'s with 4 years of experience in Computer Science or similar, with a focus on deep learning.

Strong theoretical background in AI technologies.

Ability to envision new technologies and turn them into innovative products. Creativity.

Interest in audio/video technologies. Proficiency in theory and application of digital signal processing techniques.

Highly desired: Deep background in NLP.

Experience working in a software development team, including software version control tools

Experience in statistics, decision theory, image retrieval.

*LI-SB1

Dolby

Beware of fraud agents! do not pay money to get a job

MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.


Related Jobs

Job Detail

  • Job Id
    JD3103827
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Bangalore, Karnataka, India
  • Education
    Not mentioned
  • Experience
    Year