Lead ML Scientist

Profile

Comcast's Technology, Product & Experience organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards. In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.

Job Summary

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Are you interested in solving natural language problems that involve speech and text utterances from millions of customers and hundreds of thousands of video content? Do you have experience in building large-scale speech, NLP and machine learning systems? Do you want to conduct industry-leading applied research to create voice assistants to help millions of households interact with video and music content on their TV, PC, Phone, and Mobile devices as well as troubleshoot problems without human intervention? If yes, come join the Comcast Applied AI group. We are an innovative research group within Comcast's Technology & Product organization with offices in Washington, DC, Silicon Valley, Philadelphia, Denver and Chicago that does groundbreaking research to support the development of novel Deep Learning, Speech and Natural Language Processing based products for Comcast's 22 Million consumers. As a machine learning (ML) scientist in the Accelerate Innovation in Language Technologies (AILT) team -- focusing on Speech and Natural Language Processing (NLP) technologies -- you will join a small team of applied researchers. You will use advanced ML to solve problems across high-impact, customer-facing products and/or applications, such as the Xfinity Voice Remote and Xfinity Assistant. Your focus will be on leading the initial design and development of new ML models, data pipelines and evaluation systems that help us deliver improved end-to-end solutions.

Job Description

Core Responsibilities

Follows the latest trends in academia and the technology industry and continuously seek ways to improve internal NLP platforms.

Implements, refines and validates machine learning algorithms for products and applications.

Takes action on existing specifications of designs and develops data pipelines consisting of data ingest, data validation, data cleaning and data monitoring.

Trains machine learning models, validates the accuracy of the machine learning models once trained and deploys validated machine learning models into production.

Collaborates with teams outside of immediate work group. Represents the work team in providing solutions to technical issues associated with assigned projects.

Designs and implements data selection and annotation pipelines and methods like active learning to maximize improvement of ML model accuracy as well as minimize machine bias.

Provides guidance and leadership to more junior engineers.

Guides the successful completion of programs that identify patterns and make decisions with minimal human intervention. Determines the technical objectives of an assignment. Leads the design of prototypes, partnering with the product team and other stakeholders through development. Conducts studies to support product or application development.

Designs and implements end-to-end solutions using optimization and other advanced computer science technologies and owns live deployments. Aggregates huge amounts of data and information from large numbers of sources to discover patterns and features necessary to automate analytical models.

Researches, writes and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports. Contributes to the company by creating patents, Application Programming Interfaces (APIs) and other intellectual property.

Presents papers and/or attends conferences, as well as displaying leadership in these areas.

Tests and evaluates solutions presented to the Company by various internal and external partners and vendors. Completes case studies, testing and reporting.

Collaborates with teams outside of immediate work group. Represents the work team in providing solutions to technical issues associated with assigned projects.

Mentor a diverse team of junior engineers in machine learning techniques, tools and concepts. Provides guidance and leadership to more junior engineers.

Consistent exercise of independent judgment and discretion in matters of significance.

Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.

Other duties and responsibilities as assigned.

Employees at all levels are expected to:

Familiar with production NLP software systems that leverage common ML libraries such as NLTK, pandas, pytorch, tensorflow, etc.

Hands-on experience designing and implementing scalable data pipelines, either in an offline/batch nature or an online/streaming nature, using technologies such as PySpark, Databricks, Amazon EMR, SQS, etc.

Cares about high-quality software, agile development practices and robust platforms.

Has the skills to develop automation into training and evaluation pipelines for continuous delivery and integration (CI/CD).

Open to learning new skills and are flexible about filling different roles to support high-priority initiatives.

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.

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.

Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other basis protected by applicable law.

Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

7-10 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 (https://jobs.comcast.com/life-at-comcast/benefits) on our careers site for more details.

Company info

Comcast
Website : http://corporate.comcast.com