Sr. Software Engineer, Machine Learning & Algorithm Design

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

We are seeking a highly skilled Software Engineer with strong expertise in machine learning and algorithm design. In this role, you will be responsible for characterizing parameters and constraints that impact wireless network quality, designing and evaluating different home network configurations, and applying optimal topologies to ensure customers receive the best WiFi experience throughout the home.

Job Description

Responsibilities:

• Develop highly scalable tools, applications, services and ensuring their availability and performance.
• Integrate systems with other cloud applications using APIs and message bus
• Ensure that the applications conform to the security best practices and standards.
• Explore new tools and technologies to improve the scale and order of problem solving
• Continuously improve algorithms and tools based on field data, performance metrics, and product requirements.

Required Skills:

• Expertise in algorithms and solving Linear and integer programming problems
• Proficiency in Python programming including multiprocessing and concurrency
• Expertise in Python math and algorithm packages (numpy, pandas, scipy etc.)
• Expertise in large data-set analysis and visualization (matplotlib, seaborn, plotly/dash etc.)
• Hands-on experience in Machine Learning (ML) modeling, particularly with time series data

Desired Skills:

• Familiarity with optimization solvers such as Gurobi, CPLEX, SCIP, GLPK
• Familiarity with solver frameworks like Pyomo, OR-Tools, or equivalent.
• Knowledge of WiFi technologies and other home networking topologies
• Experience working with Linux/Unix-based environments

Qualifications:

• Master’s degree (or higher) in Mathematics, Electrical Engineering or Computer Science
• 5+ years of experience in algorithm development and problem-solving using Python and/or C++

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, Communication, Datasets, Machine Learning, Python (Programming Language)

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 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.