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Associate Machine Learning Engineer

https://www.t-mobile.com Logo

T-Mobile

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Location:
United States , Bellevue

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Contract Type:
Not provided

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Salary:

75300.00 - 135800.00 USD / Year

Job Description:

The Associate Machine Learning (ML) Engineer at T-Mobile is instrumental in advancing our AI-driven initiatives. This role focuses on supporting the design, development, and deployment of machine learning models that enhance our customer interactions and operational efficiency. By leveraging data-driven insights and modern ML frameworks, the engineer contributes to innovation and helps integrate AI technologies into T-Mobile’s products and services. Working closely with senior ML engineers, data scientists, and cross-functional engineering teams, this role provides an opportunity to gain hands-on experience with end-to-end ML pipelines, big data platforms, and cloud technologies while learning industry best practices.

Job Responsibility:

  • Assist in designing, developing and refining machine learning models to enhance customer interactions and operational efficiency
  • Support data preparation, training, testing, and evaluation for ML and deep learning models
  • Build and maintain data pipelines for large-scale training and inference
  • Optimize model performance, including feature engineering, hyperparameter tuning, and algorithm selection
  • Work with large language models (LLMs) and leverage ML frameworks for training, testing and evaluation
  • Collaborate with data scientists and engineering teams to integrate ML models into production systems and ensure scalability
  • Utilize platforms such as Databricks, Snowflake, and Apache Spark to build and manage ML pipelines
  • Support the development of end-to-end model training pipelines using TensorFlow, Keras, PyTorch, HuggingFace and TensorBoard for visualization
  • Leverage containerization and orchestration tools (Docker, Kubernetes)
  • Stay updated with the latest AI/ML research, tools, and technologies to enhance development practices

Requirements:

  • Bachelor's Degree in Computer Science, Engineering, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Required)
  • Master's/Advanced Degree in Computer Science, Machine Learning, Data Science, or a related field (Preferred)
  • Experience in developing or deploying ML models (academic, internship, or professional experience acceptable)
  • Experience with cloud technologies for model training and deployment (Preferred)
  • Solid understanding of classic supervised and unsupervised machine learning algorithms (e.g., classification, clustering, regression, SVM) (Required)
  • Familiarity with deep learning architectures (LSTM, CNNs) and LLMs (Preferred)
  • Knowledge of ML frameworks like TensorFlow, Keras, and PyTorch as well as MLOps tools (Preferred)
  • Proficiency in data manipulation and analysis using Apache Spark, Databricks, and Snowflake for big data processing (Required)
  • Working knowledge of SQL for querying and managing databases (Preferred)
  • Experience with containerization and orchestration tools (Docker, Kubernetes) (Preferred)
  • Proficiency in Python or R (Required)
  • Strong knowledge of software engineering principles: version control, testing, CI/CD. (Preferred)
  • Familiarity with Agile practices for iterative development (Preferred)
  • Strong foundation in probability, statistics, and mathematics (Required)
  • Ability to work in cross-functional teams to integrate AI technologies into production (Required)
  • Strong problem-solving and analytical skills to troubleshoot ML solutions (Required)
  • Excellent communication skills to collaborate with technical and non-technical teams (Preferred)
  • At least 18 years of age
  • Legally authorized to work in the United States

Nice to have:

  • Master's/Advanced Degree in Computer Science, Machine Learning, Data Science, or a related field
  • Experience with cloud technologies for model training and deployment
  • Familiarity with deep learning architectures (LSTM, CNNs) and LLMs
  • Knowledge of ML frameworks like TensorFlow, Keras, and PyTorch as well as MLOps tools
  • Working knowledge of SQL for querying and managing databases
  • Experience with containerization and orchestration tools (Docker, Kubernetes)
  • Strong knowledge of software engineering principles: version control, testing, CI/CD
  • Familiarity with Agile practices for iterative development
  • Excellent communication skills to collaborate with technical and non-technical teams
What we offer:
  • Competitive base salary and compensation package
  • Annual stock grant
  • Employee stock purchase plan
  • 401(k)
  • Access to free, year-round money coaches
  • Medical, dental and vision insurance
  • Flexible spending account
  • Employee stock grants
  • Employee stock purchase plan
  • Paid time off
  • Up to 12 paid holidays
  • Paid parental and family leave
  • Family building benefits
  • Back-up care
  • Enhanced family support
  • Childcare subsidy
  • Tuition assistance
  • College coaching
  • Short- and long-term disability
  • Voluntary AD&D coverage
  • Voluntary accident coverage
  • Voluntary life insurance
  • Voluntary disability insurance
  • Voluntary long-term care insurance
  • Mobile service & home internet discounts
  • Pet insurance
  • Access to commuter and transit programs

Additional Information:

Job Posted:
January 09, 2026

Employment Type:
Fulltime
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