Machine Learning Engineer 2

Comcast Technology Solutions; Sunnyvale (CA); On-site; USD 136,000 - 204,000; Full time

Job summary

FreeWheel, a Comcast company, seeks a Machine Learning Engineer 2 in Sunnyvale, CA (and NYC option). You will implement and refine ML algorithms for our ad tech products, train models, and deploy them to production.

Responsibilities include building data pipelines, maintaining data quality, documenting methods, contributing to patents and APIs, conducting case studies, and producing proof-of-concept research while collaborating with teams.

Qualifications

• Master's Degree: Computer and Information Science (Required).
• 2-5 Years Relevant Work Experience.

Responsibilities

• Implementing, refining, and validating machine learning algorithms tailored for company products and applications.
• Training machine learning models, validating accuracy, and deploying into production environments.
• Designing and developing data pipelines with ingestion, validation, cleaning, and monitoring.
• Researching and authoring documentation, white papers, tests, and formal recommendations.
• Innovating by contributing to patents, APIs, and other intellectual property.
• Testing and evaluating ML solutions from internal and external sources.
• Conducting case studies and compiling reports to inform testing strategies.
• Designing proof of concept solutions for future product development.

Skills

Algorithms

Collaboration

Computer Programming

Data Science

Education

Master's Degree: Computer and Information Science (Required)

Job description

Machine Learning Engineer 2### Machine Learning Engineer 2Apply: CA - Sunnyvale, 1050 Enterprise Way #500: NY - New York, 1407 Broadway Floor 12: Full time: Posted Today: End Date: December 11, 2026 (28 days left to apply): R448729FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re 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.**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****Responsibilities:*** Implementing, refining, and validating machine learning algorithms tailored for company products and applications* Training machine learning models, validating their accuracy, and manage the deployment of these models into production environments* Designing and developing data pipelines, ensuring proper data ingestion, validation, cleaning, and monitoring* Researching and authoring documentation and technical requirements, including white papers, test results, and formal recommendations* Innovating by contributing to the creation of patents, Application Programming Interfaces (APIs), and other intellectual property* Testing and evaluating machine learning solutions from internal and external sources, providing detailed assessments* Conducting case studies and compile reports to inform testing strategies and results* Designing proof of concept solutions, contributing to research studies that underpin future product or application development* 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) as necessary.* Other duties and responsibilities as assigned.**Employees at all levels are expected to:*** Understand our Operating Principles; make them the guidelines for how you do your job.* Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.* Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.* Win as a team make big things happen by working together and being open to new ideas.* Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.* Drive results and growth.* Support a culture of inclusion in how you work and lead.* Do what's right for each other, our customers, investors and our communities. **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.**Skills**Algorithms, Collaboration, Computer Programming, Data Science**Compensation**Pay Range: This job can be performed in California with a good faith estimated pay range upon hire of $135,859.34 - $181,145.78 USD.This job can be performed in New York City with a Pay Range of $130,424.96 - $203,789.01Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.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 compensation and benefits summary on our careers site for more details.**Education**Master's Degree: Computer and Information Science (Required)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 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.