Note: The job is a remote job and is open to candidates in USA. T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. The Principal Engineers, Software role involves detecting and resolving problems by analyzing large amounts of data, designing simulations and experiments, and creating machine learning software and models.
Responsibilities
- Collaborate with software developers and system engineers to design, implement, and deploy software for ML solutions which meet customer requirements, scale easily, and support deployment in highly available environments
- Perform datamining and modeling to discover insights, operationalizing models and identifying opportunities through the use of machine learning, algorithmic, and visualization techniques
- Analyze large scale telemetry data and build models that predict failure of T-Mobile network assets, radios, FRU and basebands
- Ability to think outside the box to develop new algorithms and methods for novel solutions to challenging business problems
- Perform research and work with technical teams to implement new and emerging technologies that will facilitate better data integrity, reliability, and enrichment for quantitative solutions
- Leverage the business objectives, systems, and data pipelines to operationalize ML in large-scale environments
- Solve these problems using appropriate assumptions, methodologies, and current data science best practices, developing necessary software
- Work with different teams to identify areas for efficiency improvements
- Support ML projects from strategy through implementation and on-going improvements
- Apply cost-effective ML tools and techniques to reduce operational ML costs by utilizing tools such as ML.Net, ONNX, or equivalent
- Improve neural network model efficiency via parameter and structure tuning using various optimization methods, gird search and evolutionary optimization techniques
- Perform data collection, data mining, analysis, validation, and cleansing
- Develop software in support of multiple machine learning workflows and integrate and deploy code in large-scale production environments and execute reporting
- Develop new and efficient analytical systems in F# and enhance and maintain existing ones
- Develop software and dashboards to track application performance and insights
- Lead the implementation, assessment, and standardization of toolkits for our data science, measurement science, insight management, and visualization teams
- Provide senior-level guidance to the data science and measurement science teams on approaches and methodologies as a subject matter expert
- Responsible for technology strategy, which will involve evaluating new and existing technology options that supports business goals
Skills
- Bachelor's degree in Computer Science, or a related field, or the foreign equivalent, and 7 years of related work experience
- Master's degree in Computer Science, or a related field, or the foreign equivalent, and 5 years of related work experience
- Utilizing knowledge of machine learning algorithms, including Deep Learning, Multilayer Perceptron, Recurrent Neural Networks, Convolutional Networks, Auto Encoders, Variational Auto Encoders, Bayes Point Machine, Deep Semantic Networks, Fast Fourier Transform, Latent Dirichlet Allocation, Random Forest, Randomized PCA, Anomaly Detection, and Gradient Boosted Trees
- Deploying at least one of the following models for machine failure prediction: Classification or Anomaly Detection
- Utilizing Scala programming with Spark experience to perform complex processing of large-scale telemetry data over distributed clusters
- Utilizing F# programming language for constructing robust, high-performance, and efficient analytical systems
- Using machine learning model in construction and inference with ML.Net
- Experience with model structure and parameter tuning using Grid search and evolutionary optimization methods
- Ability to think outside the box to develop new algorithms and methods for novel solutions to challenging business problems
- Perform research and work with technical teams to implement new and emerging technologies that will facilitate better data integrity, reliability, and enrichment for quantitative solutions
- Leverage the business objectives, systems, and data pipelines to operationalize ML in large-scale environments
- Solve these problems using appropriate assumptions, methodologies, and current data science best practices, developing necessary software
- Work with different teams to identify areas for efficiency improvements
- Support ML projects from strategy through implementation and on-going improvements
- Apply cost-effective ML tools and techniques to reduce operational ML costs by utilizing tools such as ML.Net, ONNX, or equivalent
- Improve neural network model efficiency via parameter and structure tuning using various optimization methods, grid search and evolutionary optimization techniques
- Perform data collection, data mining, analysis, validation, and cleansing
- Develop software in support of multiple machine learning workflows and integrate and deploy code in large-scale production environments and execute reporting
- Develop new and efficient analytical systems in F# and enhance and maintain existing ones
- Develop software and dashboards to track application performance and insights
- Lead the implementation, assessment, and standardization of toolkits for our data science, measurement science, insight management, and visualization teams
- Provide senior-level guidance to the data science and measurement science teams on approaches and methodologies as a subject matter expert
- Responsible for technology strategy, which will involve evaluating new and existing technology options that supports business goals
- At least 18 years of age
- Legally authorized to work in the United States
Benefits
- Annual stock grant
- Employee stock purchase plan
- 401(k)
- Access to free, year-round money coaches
- Employee referral program
- Annual bonus or periodic sales incentive or bonus, based on their role
- Year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year
- Monthly bonuses based on individual and/or team performance for certain positions in Customer Care
- Monthly or quarterly sales incentives for Retail and Business Sales roles
- Medical, dental and vision insurance
- Flexible spending account
- Paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually
- 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 (for eligible employees)
- Pet insurance (for eligible employees)
- Access to commuter and transit programs (for eligible employees)
- Telecommuting is permitted 100% of the time
Company Overview