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Sr Engineer, Machine Learning Engineering

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T-Mobile

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Location:
United States , Bellevue ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

127000.00 - 229100.00 USD / Year
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Job Description:

The Senior Engineer, Machine Learning plays a pivotal role in advancing AI capabilities, focusing on the design, development, and deployment of large language models (LLMs) and generative AI solutions. This position is essential for building scalable, production-grade AI systems that enable automation, personalization, and intelligent decision-making across the enterprise. The role emphasizes the creation of innovative GenAI applications that deliver real-world business impact while maintaining high standards of performance, reliability, and responsible AI practices. Collaborating with cross-functional technical teams, they ensure the seamless integration of LLM-powered solutions into products and workflows, reinforcing the organization’s leadership in applying advanced AI technologies.

Job Responsibility:

  • Build and manage the complete machine learning and generative AI lifecycle, including research, design, experimentation, development, deployment, monitoring, and maintenance
  • Design, develop, and deploy LLM-based and generative AI models to power scalable and intelligent enterprise applications
  • Architect, optimize, and maintain retrieval-augmented generation (RAG), prompt orchestration, and contextual reasoning pipelines to support diverse AI use cases
  • Implement scalable MLOps pipelines for model deployment, performance monitoring, and continuous improvement
  • Conduct fine-tuning, alignment, and evaluation of LLMs and multimodal models to ensure reliability, efficiency, and fairness
  • Collaborate with data science, engineering, and product teams to translate business needs into generative AI-driven solutions
  • Perform benchmarking, evaluation, and optimization of generative models to improve accuracy, latency, and cost efficiency
  • Research and apply emerging techniques in transformer architectures, multimodal learning, and generative modeling to drive innovation and enhance enterprise capabilities
  • Ensure secure, ethical, and responsible AI deployment, embedding fairness, transparency, and compliance throughout the model lifecycle
  • Mentor and guide team members on generative AI frameworks, best practices, and experimentation methodologies
  • Participate in other duties or projects as assigned by business management as needed

Requirements:

  • Bachelor's Degree Computer Science, Data Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field
  • 1+ year of experience in designing, developing, and deploying large language models (LLMs) and generative AI systems in production environments
  • 5+ years of experience building and maintaining end-to-end ML pipelines, including data ingestion, training, deployment, monitoring, and optimization
  • 3+ years of experience applying MLOps practices and leveraging cloud platforms (AWS, GCP, or Azure) for scalable AI solutions
  • 5+ years of experience collaborating with cross-functional teams (engineering, data science, and product) to deliver AI-powered applications
  • 2+ years of experience in programming languages such as Python/R, Java/Scala, and/or Go, with hands-on experience in frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face
  • At least 18 years of age
  • Legally authorized to work in the United States

Nice to have:

  • Master's/Advanced Degree Computer Science, Data Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field
  • Experience implementing fine-tuning, evaluation, and benchmarking techniques for LLMs and generative AI applications
  • Experience in the telecom or large-scale enterprise domain
  • 5+ years in designing, building, and deploying machine learning and generative AI models
  • 5+ years of experience identifying, troubleshooting, and resolving complex technical and operational challenges
  • 4+ years of strong analytical and problem-solving abilities with attention to model performance, reliability, and responsible AI practices
  • 2+ years of experience with transformer architectures, embeddings, and multimodal learning techniques
What we offer:
  • 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:
February 20, 2026

Employment Type:
Fulltime
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