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

We are looking for a Senior Machine Learning Engineer with an in-depth working knowledge of the latest in Machine Learning/Data Science technologies and cloud platforms to join our Optimization team. In this role you’ll work on a wide range of computational challenges such as: user response prediction and bidding optimization, forecasting, incrementality, bidding models, delivery 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. Our tech stack is always evolving to meet the challenges of the massive scale of transactions on which we operate. To manage the firehose of data coming in, we explore complex tradeoffs and carefully architect high performance distributed systems. Those in turn require elegant and thoughtfully designed interfaces to make the systems accessible to both our team and our customers.

Job Description

Responsibilities

• Lead and execute data science projects and ensure they deliver business value
• Work with the product and engineering teams to build data model pipelines to power customer-driven products
• Mentor junior team members and drive for team’s technical excellency
• Implement and test the latest research works and advise strategic directions

Required Qualifications

• MSc or above in a STEM (science, technology, engineering, mathematics) subject
• Solid knowledge on machine learning
• 3+ years of demonstrable experience with machine learning engineering in industry
• Expert-level proficiency in Python and SQL, and ML ecosystem in Python
• Good understanding of engineering best practices, agile and version control
• Effective collaboration and communication with cross function teams

Desired Qualifications

• Practical experience with data warehousing, especially Snowflake
• Practical experience with cloud platforms, especially AWS
• Practical experience in distributed computing frameworks, especially Apache Spark and distributed Tensorflow
• Excellent academic or industrial track record

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, or any other basis protected by applicable law.

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.

Relevant Work Experience

7-10 Years

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.