Engineer 3, Machine Learning-5125

Blueface Ltd; Washington (District of Columbia); Hybrid; USD 126,000 - 165,000; Full time

Job summary

Comcast is seeking a Machine Learning Engineer to join a team that builds, trains, and deploys ML models and scalable services. You will work with Python, TensorFlow, PyTorch, Spark, and Databricks in a hybrid on-site/remote setting.

The role emphasizes data preparation, model evaluation, and collaboration across software engineering and ML teams to deliver production-ready solutions.

Qualifications

• Master's degree in Computer Science, Engineering, or related technical field with 1 year of ML model training experience.
• Experience gathering data to train models and developing, testing, debugging software in Python.
• Experience deploying services in microservice architecture using Kubernetes, AWS, and related tools.

Responsibilities

• Contribute to building, maintaining, and improving ML models.
• Train and validate ML models including deep learning models with TensorFlow/PyTorch.
• Develop scalable APIs and microservices in Python.

Skills

Machine Learning

Python

Deep Learning

Education

Master's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Databricks

Spark

Airflow

Kubernetes

Helm Charts

AWS

Istio

Prometheus

Grafana

Git

Jenkins

Job description

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.)

Position is eligible to work remotely one day a week, per company policy.

DUTIES

• Contribute to a team responsible for building, maintaining, and improving Machine Learning models to solve practical problems
• build and train Machine Learning models, including Deep Learning models, using TensorFlow, PyTorch, Databricks, and Spark
• gather data to train models using PySpark
• use Airflow to orchestrate jobs created in Databricks
• develop, test, and debug software using Python and command line tools
• develop and maintain scalable APIs using Python
• develop services to be deployed in microservice architecture, using Kubernetes, Helm Charts, AWS, and Istio
• translate and optimize Machine Learning models, and report on Machine Learning model performance, using Prometheus, Grafana, Kubernetes, and Istio
• translate feature designs and problems into Machine Learning models and software
• perform source control using Git
• work in an Agile development environment
• perform CI/CD using GitHub Actions
• contribute to both software engineering and machine learning sides of projects by implementing, refining, and validating machine learning algorithms for products and applications
• take action on existing specifications of designs and develop data pipelines consisting of data ingest, data validation, data cleaning, and data monitoring
• train machine learning models, validate the accuracy of the machine learning models once trained, and deploy validated machine learning models into production
• research, write, and edit documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports
• create patents, including Application Programming Interfaces (APIs) and other intellectual property
• test and evaluate solutions presented by various internal and external partners and vendors
• complete case studies, testing, and reporting
• design proof of concept solutions and contribute to studies to support future product or application development
• collaborate with teams outside of immediate work group
• represent the work team in providing solutions to technical issues associated with assigned projects

REQUIREMENTS

• Master’s degree, or foreign equivalent, in Computer Science, Engineering, or related technical field, and one (1) year of experience building and training Machine Learning models, including Deep Learning models, using TensorFlow, PyTorch, Databricks, and Spark
• gathering data to train models using Jenkins
• developing, testing, and debugging software using Python and command line tools
• developing and maintaining scalable APIs using Python
• developing services to be deployed in microservice architecture, using Kubernetes, Helm Charts, AWS, and Istio
• translating and optimizing Machine Learning models, and reporting on Machine Learning model performance, using Prometheus, Grafana, Kubernetes, and Istio
• translating feature designs and problems into Machine Learning models and software
• performing source control using Git
• working in an Agile development environment
• performing CI/CD using Jenkins

SALARY

SALARY: $126,090 to $165,000 per year

BENEFITS

BENEFITS: https://jobs.comcast.com/life-at-comcast/benefits

Disclaimer

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

Skills Kubernetes, PyTorch, Tensorflow

Compensation Base Pay

Compensation Base Pay: $126,090.00 Comcast intends to offer the selected candidate base pay dependent on job-related, non-discriminatory factors such as experience. 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.

Application window

The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Equal Opportunity

Comcast 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.

At Comcast , you have the power to connect the world.

Your career options are endless as you grow in your career. Explore your future with access to a variety of teams, locations, and resources in an expanding network. You can also explore additional opportunities at our company, NBCUniversal.