Principal Engineers, Software

T-Mobile•Bellevue, WA

1d•Remote

About The Position

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees! 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. Principal Engineers, Software located in Bellevue, WA will detect and resolve problems by analyzing large amounts of data, defining new metrics and business cases, designing simulations and experiments, creating machine learning (ML) software and models, and collaborating with experts to develop closed-loop analytics and automation software solutions and reporting.

Requirements

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.
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.

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.