Posted:
11/17/2024, 4:00:00 PM
Location(s):
Moscow, Russia ⋅ Moscow, Moscow, Russia
Experience Level(s):
Internship
Field(s):
AI & Machine Learning
Workplace Type:
Hybrid
Job Summary
This job code is to be used for internships and co-ops. It is not to be used for temporary or contract workers.Job Description
Program Overview
Discover opportunities designed to set your career in motion! The Comcast internship/co-op program will help you cultivate meaningful relationships, develop strong interpersonal and business skills, gain exposure to the day-to-day operations of a Fortune 40 media and technology company, and receive mentorship opportunities to expand your professional network.
This program immerses students into the daily operation of a contemporary media and technology company while working side-by-side with Comcast’s top innovators. The student becomes an integral part of the Comcast team working on creative, innovative, and thought-provoking projects within various business units.
Organization & Team Overview
Comcast AI Technologies team is an innovative research group within Comcast’s Technology & Product organization with offices in Washington DC and Philadelphia. We do groundbreaking research to support the development of novel Artificial Intelligence and Machine Learning based products for Comcast’s millions of consumers.
We feature an informal, open 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.
Role Description
Are you interested in pushing the boundaries of conversational AI and shaping the future of customer interactions? Are you eager to apply your expertise in training large language models to real-world problems? Do you thrive on challenges and aspire to make a tangible impact on customer experiences? If you're passionate about driving real-world impact and thrive in a dynamic, collaborative environment and have experience in at least one or more of the following areas – Semantic Parsing for Natural Language Understanding (NLU), Aligning LLMs for task-oriented dialogue/Conversational Agents, Evaluation with and for LLMs – we invite you to bring your expertise to our team!
We are seeking a talented researcher to join our team in tackling applied challenges within the realm of training large language models and enhancing conversational AI. You will be part of a team focused on the development, training, and testing of large-scale models, emphasizing latency, quality, safety, and cost reduction.
The expected output of an internship is a proof-of-concept implementation leading to both impactful production-level deployments and a scientific publication and/or a patent application.
Job Responsibilities
Responsibilities include but are not limited to:
Develop algorithms for generating diverse and contextually appropriate dialogues to improve conversational agents.
Investigate methods for generating coherent multi-turn conversations to enhance the naturalness of conversational agents.
Create simulated evaluators or judges to provide feedback on conversational bot performance.
Develop ML methods to identify and collect high-quality training data for conversational agents.
Explore techniques for dynamically adapting data collection strategies based on model feedback and performance metrics.
Other duties and responsibilities as assigned.
Preferred Skills
Enrolled in a university PhD program (strong MSc students are also welcome to apply), with 2+ years research experience in NLP and/or Information Retrieval
Good programming and software development skills
Comfortable working in an interdisciplinary, team-oriented, applied research environment.
Preferred Majors: Computer Science
Minimum Qualifications and Eligibility Requirements
Returning to degree-program (for at least a semester) after the completion of the summer internship (meaning, student must be returning to school for Fall 2025 semester before graduating)
Available to work 40 hours per week over the course of the summer program- June 2 through August 15, 2025
Authorized to work in the United States with no current or future sponsorship needs
Available to report in-person to the work location on the job posting (unless virtual offering)
Comcast is an Affirmative Action/EEO employer M/F/D/V
Compensation
Base Pay: $55.00Base 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 to eligible employees. 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.
The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.
Education
Certifications (if applicable)
Relative Work Experience
0-2 YearsComcast 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, genetic information, or any other basis protected by applicable law. Comcast will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law, including the Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance.Website: http://corporate.comcast.com/
Headquarter Location: Philadelphia, Pennsylvania, United States
Employee Count: 10001+
Year Founded: 1963
IPO Status: Public
Last Funding Type: Grant
Industries: Internet ⋅ Telecommunications ⋅ TV ⋅ Video ⋅ Web Hosting