Senior Research Scientist, Machine Learning (Computer Vision)

Job Description

We are passionate people focused on transforming the customer experience and dedicated to creating innovative solutions to address the unique challenges of our extraordinary scale

Requisition #: R315786 Pub Date: 08/02/21 Apply Now Share This Job With a friend (or yourself)

Job Summary

Comcast Applied AI & Discovery is an innovative research group within Comcast’s Technology & Product organization with offices in Washington DC, Philadelphia, Denver and Chicago that engages in groundbreaking research to re-invent customer experience for Comcast’s 22+ Million consumers using AI and machine learning. To learn more about the team visit - https://jobs.comcast.com/ml-ai-team-page The AI for Connected Living (CL) team under Comcast Applied AI & Discovery brings the Computer Vision and Deep Learning capability and delivers brilliant features to our connected living product. The vision of our team is to enhance our customers’ safety and connectivity in the home by creating smart home and internet experience with AI technologies. We are currently looking to hire a lead researcher with 3+ years of experience in conducting cutting-edge research in AI and Machine Learning applied to the connected living domain. The primary location is either in Philadelphia, PA, or Washington, DC. We feature an informal, open, fun atmosphere and cultivate a start-up culture with the backing of a Fortune 50 company. To better serve our community, we believe the diversity of our team should reflect the diversity of our customers.

Job Description

Are you excited about solving real-world computer vision problems that involve millions of smart cameras from our customer’s devices? Are you interested in developing and advancing state-of-the-art computer vision and deep learning algorithms? If yes, our AI for Connected Living (CL) team has an exciting opportunity for you. Our team is responsible for building large scale machine learning models for 2D/3D scene understanding, object detection, and activity recognition (e.g. delivery detection) .

Core Responsibilities:

• Develops new algorithmic solution and technical requirements of custom designs for future products and applications.
• Leads research in one or more of the following areas: Deep Learning, Computer Vision, and Video Analytics.
• Works with other Technical Leads, Product Managers and Business Partners to lead development of prototypes that demonstrate Research work, help with Product Discovery and integrate research output into engineering code base.
• Works with various team members both within and outside Research. Ensures timely progress of work. Conducts Research in an incremental manner thereby enabling faster integration of technology into products. Able to evaluate prototype systems, write technical papers, and help with technology transfer.
• Keeps track of developments in field both in academia and in industry. Attending relevant conferences and publishing research results is encouraged.

Employees at all levels are expected to:

• Understand our Operating Principles; make them the guidelines for how you do your job.
• Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
• Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
• Win as a team - make big things happen by working together and being open to new ideas.
• Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
• Drive results and growth.
• Respect and promote inclusion & diversity.
• Do what's right for each other, our customers, investors and our communities.

Nice to have:

• Strong programming and software development skills, and familiarity with C/C++ or Python, and deep learning frameworks ( Keras , Tensorflow, PyTorch , Caffe) .
• Prior experience working on delivering computer vision models for large scale production. Prior experience on designing models for edge devices or cloud, or deploying computer vision models in a production scenario is preferred.

Disclaimer:

• This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast is an EOE/Veterans/Disabled/LGBT employer.

Education

Bachelor's Degree

Relevant Work Experience

5-7 Years

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.