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ML Engineer

T-Mobile

$104,800 - $189,100
Sep 2, 2025
Bellevue, WA, US
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At T-Mobile, the Machine Learning (ML) Engineer focuses on 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 for use in products for end-users and customers.

Requirements

  • Experience in programming languages such as Python/R, Java/Scala, and/ or Go Required
  • Programming Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Required)
  • Big Data Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning (Required)
  • Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc., is preferred Required
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Required
  • Experience in Apache Spark and Databricks Preferred

Responsibilities

  • Build and maintain the entire machine learning lifecycle (research, design, experimentation, development, deployment, monitoring, and maintenance).
  • Assemble large, complex data sets that meet functional/ non-functional business requirements for machine learning.
  • Collaborate with data science, tech, and product teams on defining, architecting, and building data ingestion systems and model training pipelines from experimentation to deployment, monitoring, and continuous performance improvement.
  • Ensure machine learning models are optimized and scalable.

Other

  • Bachelor's Degree Computer Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Required)
  • Master's/Advanced Degree Computer Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Preferred)
  • Data Engineering, Data Science Required
  • Travel Required (Yes/No): No
  • At least 18 years of age