Sr. Manager, Machine Learning

FreeWheel, 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 Beeswax enables automated media buying across the premium video and omnichannel advertising markets. A part of FreeWheel, our buy-side bidder solutions help advertisers and buyers transact with the programmatic ecosystem. Our core offerings – Bidder-as-a-Service™ (BaaS) and the Beeswax DSP – provide clients with agility, custom optimizations, and extensible APIs. We are looking for a Senior Manager of Machine Learning with an in-depth working knowledge of the latest in Machine Learning/Data Science technologies and cloud platforms to join our Optimization and Machine Learning team, which has three defining pillars: machine learning, software engineering, and machine learning operations (MLOps). In this role you’ll work on a wide range of computational challenges such as: allocation, audience forecasting, demand forecasting, traffic analysis, campaign performance optimization, and more. We practice an effective data science process that recognizes the uncertainty in explorations for ML solutions but also emphasizes an agile software engineering workflow. We use the most popular tools in the Python data science ecosystem and embrace innovation. Job Description Core Responsibilities Leads research, analyzes and evaluates changes in high profile, revenue-impacting programs that use machine learning as essential components and defines current and future departmental objectives. Oversees the monitoring and evaluation of competitive applications and products. Implements and supervises design activities across platforms, teams and third parties. Serves as primary point of contact and liaison between research and other teams, including other divisions. Monitors and tracks project progress and reports findings to leadership team. Manages cross-project communications. Manages and coordinates the initial development and designs specifications, technical requirements, algorithms and frameworks of custom machine learning based designs for future products and applications. Guides business, marketing and product management units on latest cutting-edge technical capabilities into business applications and solutions. Ensures the continuous improvement of processes and standards. Recruits, builds and nurtures high performance teams. Evaluates solutions presented to the Company by various partners and vendors. Develops and manages case studies, testing and reporting. Provides leadership and direction to staff by setting goals, objectives, performance criteria and departmental standards. Ensures researchers keep current with developments within their area of expertise. Assists leadership team with forecasting project estimates, resource needs and timelines. Manages department and project budget, as well as the schedules of product releases and project timetables. Presents concepts and technical information in common terms to end user(s). Submit invention disclosures and pursue patent applications to produce company IP from research and technology developments that result from team projects. 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. Build and lead a machine learning team to success. Design the team’s technical roadmap, execute complex ML-driven projects and deliver business value. Mentor team members, drive for the team’s technical excellence, and review the team’s code. Hands-on work improving and supporting ML infrastructure, coding when necessary. Write technical documents and provide feedback on technical design reviews. Work with the product and engineering teams, design and build complete solutions to power customer-driven products. Manage deliverables to ensure adherence to deadlines, specifications, and budgets. Promote machine learning adoption in the organisation. Implement and test the latest research works and advise on strategic direction. Submit invention disclosures and pursue patent applications to produce company IP from research and technology developments that result from team projects. Other duties and responsibilities as assigned. Required competencies: Solid knowledge of machine learning, optimization, and software engineering. 5+ years’ experience of hands-on machine learning engineering, and 2+ years’ experience in technical project leadership. Proficiency in Python and SQL, and ML ecosystem in Python. Good understanding of engineering best practices, agile, data science process, etc. Expert at translating business needs into technical objectives, and at collaboration and communication with cross functional teams. Preferred competencies: 8+ years’ hands-on and 3+ years’ people management experience. Practical experience with MLOps tools like model server, feature store, and a/b testing system. Practical experience in distributed computing frameworks, especially Apache Spark and distributed TensorFlow. Practical experience with mathematical programming and optimization. Excellent academic or industrial track record. 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. Respect and promote inclusion & diversity. 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. Comcast is proud to be 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. Comcast will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law, including the Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance. Education Master'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. Relevant Work Experience 7-10 Years Salary: National Pay Range: $127,621.20 USD-$299,112.20 USD Comcast intends to offer the selected candidate base pay within this range, 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. 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.