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Sr. Principal Machine Learning Engineer

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: ChatGPT Jobs
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
  • Engineering
    AI Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

Sr. Principal Machine Learning Engineer

Free Wheel, a Comcast company provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we are making it easier for buyers and sellers to transact across all screens, data types, and sales channels. As a global company, we have offices in nine countries and can insert advertisements around the world.

Location

Sunnyvale, CA – On-site, Remote

Job Summary

We are seeking a visionary and hands‑on leader to drive the conception, development, and delivery of next‑generation products and services at the intersection of AI/ML, Edge Computing, and Cloud Systems. The ideal candidate bridges deep technical expertise with strategic business acumen, fostering innovation from concept to commercialization.

Responsibilities
  • Advises and represents strategic roadmap for machine learning technologies to executive leadership.
  • Potentially engages with other business units and partners on strategy in the area of machine learning.
  • Guides the successful completion of high‑profile, revenue‑impacting programs that use machine learning as essential components. Serves as a leader across multiple teams for specific machine learning technologies and/or areas of research.
  • Research and/or engineering lead for teams in the development of specifications, technical requirements, algorithms and frameworks of custom machine learning based designs for future products and applications.
  • Acts as a subject matter expert in designing and prototyping machine learning models and/or machine learning frameworks of high complexity. Leads innovation in technical capability delivery.
  • Research and/or engineering lead for teams in determining the technical requirements for a machine learning application or platform. Leads the design and implementation of machine learning applications and platforms within one or more product areas, partnering with the product teams and other stakeholders through development. Conducts studies to support product or application development.
  • Creates patents, application programming interfaces (APIs) and other intellectual property. Presents papers at conferences, as well as displaying leadership in these areas. Participates in standards bodies. May guide contributions to open source efforts.
  • Tests and evaluates solutions presented to the Company by various internal and external partners and vendors. Leads teams in completing case studies, testing and reporting.
  • Represents the organization and possibly the company as the technical contact for one or more technical areas that utilize machine learning.
  • Provides guidance and leadership to team members across the organization and possibly company.
  • Consistent exercise of independent judgment and discretion in matters of significance.
  • Regular, consistent, and punctual attendance. Must be able to work nights and weekends, variable schedule(s), and overtime as necessary.
  • Other duties and responsibilities as assigned.
  • Innovation Leadership:
    Identify and develop new business opportunities leveraging emerging technologies such as AI/ML, Edge Computing, IoT, and Signal Processing and Acquisition.
  • Product Ideation & Development:
    Lead cross‑functional teams (R&D, engineering, design) through rapid prototyping and lean UX experimentation to validate concepts and deliver working solutions.
  • Strategic Partnerships:
    Evaluate and advise on technology partnerships, investments, and acquisitions aligned with business goals.
  • Systems Architecture:
    Design and oversee scalable architectures across hybrid Edge‑Cloud environments, ensuring performance, cost‑efficiency, and reliability.
  • Research & Development:
    Guide algorithmic innovation in areas such as online advertising, audience development, propensity modeling, and conversion sensing and attribution.
  • Mentorship & Training:
    Facilitate workshops and training programs to upskill engineering and management teams in AI/IoT innovation practices.
  • Intellectual Property:
    Drive patent generation and innovation documentation, fostering a culture of technical creativity and defensible IP.
Qualifications
  • Ph.D. in Computer Science,…
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