Make your mark at Comcast a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (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 SummaryAre 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 – NLP, NLU, LLM, and Conversational AI – we invite you to bring your expertise to our team!Job DescriptionComcast AI Technologies has a graduate student intern position available during Summer 2024 (minimum of 12 weeks , May through September). We are 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. W e 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. Potential projects may focus on (but are not limited to):
Fine-tuning Conversational Models for various customer-related use cases.
Evaluate performance metrics like coherence, engagement, and satisfaction for refinement.
Design methodologies for high-quality data collection in Comcast's domain.
Explore synthetic data generation to address scarcity issues.
Investigate reinforcement learning with human feedback for model improvement.
Design reward mechanisms for contextually appropriate responses .
Implement active learning methods to select instances for human feedback and model training .
Investigate biases in conversational AI, particularly in customer interactions.
Implement rigorous procedures to identify and mitigate hallucination errors.
The ideal applicant should currently be enrolled in a university PhD program (strong MSc students are also welcome to apply), with 2+ years research experience in one of the relevant areas and be able to obtain a work authorization in the US. Applicants should also have good programming and software development skills, and be comfortable working in an interdisciplinary, team-oriented, applied research environment. The expected output of an internship is a proof-of-concept implementation leading to a scientific publication and/or a patent application .
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.
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, genetic information, or any other basis protected by applicable law.Relevant Work Experience0-2 Years