Engineer, Machine Learning Engineer

T-Mobile US • Bellevue, WA

105d • $104,800 - $189,100

About The Position

The Machine Learning (ML) Engineer plays a pivotal role in advancing AI capabilities, focusing on the design, development, and deployment of machine learning models with an emphasis on large language models (LLMs) and state-of-the-art technologies. This position is essential for building scalable AI applications that deliver real-world impact, ensuring models are optimized for performance, reliability, and responsible use. Collaborating with various technical teams, they facilitate the seamless integration of LLM-powered applications into products and workflows. Their expertise ensures the organization remains at the forefront of AI innovation, reinforcing a culture of continuous improvement and leadership in applying advanced AI technologies.

Requirements

• Bachelor's Degree in Computer Science, Data Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Required).
• Master's/Advanced Degree in Computer Science, Data Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Preferred).
• Data Engineering, Data Science experience (Required).
• Experience designing, developing, and deploying machine learning models and large language models (LLMs) in production environments (Required).
• Experience building and maintaining end-to-end ML pipelines including data ingestion, training, deployment, monitoring, and optimization (Required).
• Experience applying MLOps practices and cloud platforms (AWS, GCP, or Azure) for scalable AI solutions (Preferred).
• Experience implementing fine-tuning, evaluation, and benchmarking techniques for LLMs and generative AI applications (Preferred).
• Experience collaborating with cross-functional teams (engineering, data science, and product) to deliver AI-powered applications (Required).
• Experience in programming languages such as Python/R, Java/Scala, and/or Go (Required).
• Experience in the telecom industry (Preferred).

Nice To Haves

• Strong analytical and problem-solving abilities with attention to model performance, fairness, and responsible AI practices (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.
• Design, develop, and deploy machine learning and large language models (LLMs) to power scalable AI applications.
• Fine-tune, optimize, and maintain AI models to ensure performance, reliability, and responsible use.
• Collaborate with cross-functional technical teams to integrate AI-driven solutions into products, platforms, and workflows.
• Conduct rigorous evaluations and benchmarking of AI models and applications to validate accuracy, efficiency, and trustworthiness.
• Research and apply emerging machine learning techniques and AI frameworks to advance innovation and maintain industry leadership.
• Build and maintain pipelines, tooling, and infrastructure for model training, deployment, and monitoring in production environments.
• Ensure scalability, security, and compliance of AI systems while aligning with business and operational requirements.
• Participate in other duties or projects as assigned by business management as needed.

Benefits

• Medical, dental and vision insurance.
• Flexible spending account.
• 401(k).
• Employee stock grants.
• Employee stock purchase plan.
• Paid time off and 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Telecommunications
• Education Level: Bachelor's degree