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hackajob is partnering with Comcast to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
Job Description 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 innovative 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.
Role Description
The Applied AI group in Comcast’s Global Entertainment Engineering organization is seeking a passionate and skilled Machine Learning Engineer with expertise in Natural Language Processing (NLP) to join a team of researchers and engineers powering a voice platform used by millions of people every day across the world. We create the technology that powers the voice remote and allows our customers to interact with their TV to do things like search for content, control connected devices or find entertainment-related information.
As a member of the NLP team, you will focus on building scalable, real-time data pipelines and feedback loops that help us train, tune and evaluate the models serving production traffic as well as the architecture that supports this. We own the full process for taking an idea from a prototype to production. You will collaborate with the team to identify the best solution to a problem, implement it, deploy it, and continuously monitor its performance. The ideal candidate has a foundation in software development, experience building high performance production systems, and at least 2-3 years of experience in machine learning, NLP and popular frameworks for fine tuning and serving open-weight LLMs.
Job Description
This position is ineligible for visa sponsorship. To be considered for this role, you must be legally authorized to work in the United States and not require sponsorship for employment now or in the future.
Core Responsibilities
Work as part of a team of software engineers in conjunction with product stakeholders to understand business objectives, define technical requirements and build features for production.
Apply NLP and ML knowledge to analyze and process voice queries and system logs using techniques like pattern matching, entity extraction, intent classification, and LLM-based classification and filtering.
Support the application and fine-tuning of open-weight Generative AI models to further our platform capabilities.
Contribute to building a scalable architecture that handles millions of requests per day.
Ensure the stability of our platform to serve our customers and assist with the deployment, monitoring, and troubleshooting of production systems.
Collaborate with teammates and contribute to design discussions, project planning and code reviews.
Demonstrate a keen sense of responsibility and accountability towards the team’s work, its quality and timely delivery.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Machine Learning or a related field.
2-3 years of relevant work
Proficiency in programming languages like Python, Kotlin and Java and experience with machine learning frameworks
Experience with natural language processing, machine learning, deep learning, optimization techniques and evaluation methodologies.
Experience with or exposure to LLMs and integrating them with complex real-time data processing and low-latency systems including methods for optimizing LLM prompts, using a RAG architecture and applying fine-tuning and post-training techniques to open-weight pretrained models.
Experience with or exposure to cloud platforms (AWS) for deploying and managing ML models and its supporting architecture.
Experience researching new ideas, formulating creative solutions and presenting sophisticated ideas to technical and non-technical audiences.
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.
hackajob is partnering with Comcast to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.