Sr Engineer, Machine Learning Engineering

Job Responsibilities 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. Education and Work Experience 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) 1+ year of experience designing, developing, and deploying large language models (LLMs) and generative AI systems in production environments (Required) 5+ years of experience building and maintaining end-to-end ML pipelines, including data ingestion, training, deployment, monitoring, and optimization (Required) 3+ years of experience applying MLOps practices and leveraging cloud platforms (AWS, GCP, or Azure) for scalable AI solutions (Required) Experience implementing fine‑tuning, evaluation, and benchmarking techniques for LLMs and generative AI applications (Preferred) 5+ years of experience collaborating with cross‑functional teams (engineering, data science, and product) to deliver AI‑powered applications (Required) 2+ years of experience in programming languages such as Python, R, Java, Scala, or Go, with hands‑on experience in frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face (Required) Experience in the telecom or large‑scale enterprise domain (Preferred) Knowledge, Skills and Abilities 5+ years in designing, building, and deploying machine learning and generative AI models (Preferred) 5+ years of experience identifying, troubleshooting, and resolving complex technical and operational challenges (Preferred) 4+ years of strong analytical and problem‑solving abilities with attention to model performance, reliability, and responsible AI practices (Preferred) 2+ years of experience with transformer architectures, embeddings, and multimodal learning techniques (Preferred) At least 18 years of age Legally authorized to work in the United States Travel Travel Required: No Benefits Employees are eligible for medical, dental, and vision insurance; a 401(k) plan; employee stock grants and purchase plans; paid time off and family leave; tuition assistance; and other benefits. Compensation Bellevue, WA: $165,100 to $223,300 Atlanta, GA: $143,900 to $194,700 Overland Park, KS: $138,300 to $187,100 Herndon, VA: $165,100 to $223,300 Base Pay Range: $127,000 - $229,100 Corporate Bonus Target: 15% Pay range will vary by location, qualifications, and experience. Equal Opportunity Employment T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated. For reasonable accommodation requests during the application or interview process, please email View email address on click.appcast.io. #J-18808-Ljbffr