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 SummaryComcast 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 a robust background in machine learning particularly in multi-lingual NLP and current Generative AI techniques.Job DescriptionCore Responsibilities<ul><li>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.</li><li>Apply NLP and ML knowledge to analyze and process voice queries using techniques like pattern matching, entity extraction and intent classification.</li><li>Support the application and fine-tuning of Generative AI models like Phi, Qwen, Llama and Gemma to further our platform capabilities.</li><li>Follow current LLM developments and apply best practices to our products.</li><li>Contribute to building a scalable architecture that handles millions of requests per day.</li><li>Ensure the stability of our platform to serve our customers and assist with the deployment, monitoring, and troubleshooting of production systems.</li><li>Collaborate with teammates and contribute to design discussions, project planning and code reviews.</li><li>Demonstrate a keen sense of responsibility and accountability towards the team’s work, its quality and timely delivery.</li></ul>Qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science, Machine Learning or a related field.</li><li>7-10 years of relevant work experience.</li><li>Proficiency in programming languages like Python, Kotlin and Java, and experience with machine learning frameworks such as TensorFlow, PyTorch and Keras.</li><li>Experience with natural language processing, machine learning, deep learning, optimization techniques and evaluation methodologies. </li><li>Demonstrated experience with LLMs and integrating them with complex real-time data processing and low-latency systems including methods for optimizing LLM prompts and using a RAG architecture</li><li>Experience with cloud platforms (AWS) for deploying and managing ML models and its supporting architecture.</li><li>Experience with handling multi-lingual data and building systems that support multiple languages.</li><li>Experience researching new ideas, formulating creative solutions and presenting sophisticated ideas to technical and non-technical audiences.</li></ul>SkillsCommunication, Full Stack Development, Machine Learning, Team Lead ExperienceCompensationPrimary Location Pay Range: $159,927.44 - $239,891.17Comcast intends to offer the selected candidate base pay dependent on job-related, non-discriminatory factors such as experience. 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 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 <a href="https://jobs.comcast.com/benefits" target="_blank">compensation and benefits summary</a> 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.EducationBachelors DegreeWhile 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.Certifications (if applicable)Relevant Work Experience7-10 YearsComcast is 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.