Machine Learning Engineer 4

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Job Summary

Responsible for identifying complex problems and developing and deploying novel prototypes and algorithms to solve them. Improves accuracy and functionality of algorithms and understands the overall implications of the entire machine learning frameworks. Translates application requirements into problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to solve problems and discover new products. Provide guidance and leadership to more junior researchers. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise.

Job Description

Core Responsibilities

Machine Learning Engineer (Engineer 4)

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 7+ 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

7-10 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.