Comcast is seeking a Machine Learning Engineer with expertise in Natural Language Processing (NLP) to enhance their voice platform, used by millions daily, by building scalable data pipelines and feedback loops for model training, tuning, and evaluation.
Requirements
- 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.
- 2-3 years of relevant work
- Experience researching new ideas, formulating creative solutions and presenting sophisticated ideas to technical and non-technical audiences.
Responsibilities
- 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.
- 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.
Other
- Demonstrate a keen sense of responsibility and accountability towards the team’s work, its quality and timely delivery.
- 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.
