Principal Engineer, Machine Learning

Key Skills

Aartificial intelligence, AWS, Azure, Database, GoLang, JavaScript, Machine learning techniques, Python Programming, Scala Programming, SQL, Teradata

Job Description

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!

Ready to elevate your career and be a part of the next chapter in the Uncarrier journey at T-Mobile?

Our team is seeking a Principal Machine Learning (ML) Engineer passionate about architecting and building systems for coding, deploying, and maintaining large-scale machine learning models throughout their lifecycle. By combining software engineering principles and data science/machine learning knowledge, the ML Engineer develops the data processes that make ML models generally available in products for end-users and customers. The Principal ML Engineer should have a comprehensive understanding of both machine learning practices and data engineering practices. This role demonstrates a proficiency in various programming languages, including Python, SQL, and scalable computing such as Apache Spark. This position also requires an in-depth knowledge of the latest cloud computing technologies imperative for ML model development and deployment in this era. The chief contribution of the Principal ML Engineer is their ability to identify and implement new AI technologies that help define the long-term vision of data and AI within T-Mobile.

We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! If you are passionate about driving excellence and want to make a significant impact, apply today!

Responsibilities:

• Work with data science leaders to define and implement the vision of data and AI

• Architect next-generation data environments that effectively leverage data throughout the organization for the purpose of machine learning

• Mentor junior ML Engineering teams based on a scalable set of best practices

• Establish processes and standard methodologies to train and develop ML Engineering teams.

• Architect next-generation data environments that effectively leverage data throughout the organization for the purpose of machine learning

• Mentor junior ML Engineering teams based on a scalable set of best practices

• Establish processes and standard methodologies to train and develop ML Engineering teams.

• Also responsible for other Duties/Projects as assigned by business management as needed.

Knowledge, Skills, and Abilities:

• 7+ years validated experience in Data Engineering/Data Science building and optimizing ‘big data’ data pipelines, architectures and data sets using SQL, Teradata, Oracle or similar

• 7+ years demonstrated ability in Apache Spark and Databricks, coupled with Python/R, Java/Scala, and/or Go

• 7+ years experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement

• 7+ years proven experience with real-world MLOps and knowledge of working in cloud-computing environment like Azure, AWS or Google Cloud and delivering high-quality ML models in production.

• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

• Proven understanding of ML concepts and techniques related to supervised and unsupervised learning

• Ability to analyze a business problem/situation/task and develop it in a constructive solution to help the business make informed decisions.

• Ability to orchestrate work across multiple projects, good social skills

• Proven experience related to various streams in telecommunications including but not limited to Marketing, Customer Experience, Finance or Strategy.

Education:

• Bachelor’s degree in computer science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field

• At least 18 years of age
• Legally authorized to work in the United States

Travel:

Travel Required (Yes/No):No

DOT Regulated:

DOT Regulated Position (Yes/No):No

Safety Sensitive Position (Yes/No):No

Base Pay Range: $123,100 - $222,100