Engineer 2 - Machine Learning

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 cutting-edge 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.

Job Summary

This job entails implementing machine learning algorithms for products, model training, and deployment management. It involves data pipeline design, technical documentation, and innovation with patents and APIs. The role evaluates ML solutions, conducts case studies, and designs proof of concept strategies. It also includes research contribution for future development.

Job Description

Core Responsibilities

Machine Learning Engineer (Engineer 2)

Role Overview

We are looking for a Senior Machine Learning Engineer to lead the technical design and delivery of ML systems and platforms. This role focuses on architectural ownership, technical leadership, and raising the engineering bar across teams.

Responsibilities

• Own the design and evolution of critical ML services, platforms, or system components.

• Drive technical strategy and architectural decisions for ML and LLM-powered systems.

• Lead delivery of complex ML initiatives from problem definition through production.

• Define best practices for model development, evaluation, deployment, and monitoring.

• Establish standards for prompt engineering, LLM evaluation, safety, and agent design.

• Mentor engineers through design reviews, code reviews, and technical guidance.

• Improve system reliability, scalability, and long-term maintainability.

• Represent ML technical decisions in cross-team and cross-organization discussions.

• Drive framework and platform strategy for LLM and agent development, enabling reuse and consistency across multiple applications.

Qualifications

• Deep experience building and operating large-scale, production ML systems.

• Strong expertise in one or more ML domains (e.g., NLP, computer vision, forecasting).

• Hands-on experience with LLM frameworks such as LangChain or LlamaIndex.

• Proven experience designing and deploying agent-based systems using frameworks such as OpenAI SDK, ADK, or Autogen.

• Proven ability to lead technically without direct people management. • Strong systems thinking and architectural judgment.

• Excellent communication skills across technical and non-technical audiences.

Experience

• Typically 3+ years of relevant experience or equivalent technical leadership.

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.

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 benefits summary on our careers site for more details.

Education

Bachelor's Degree

While 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 Experience

2-5 Years

Comcast 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.