Jobs for People with MS: National MS Society

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! Job Overview The Machine Learning (ML) Engineer focuses on coding, deploying, and maintaining large-scale machine learning models throughout their lifecycle. By combining software engineering principles and data science/machine learning knowledge, the ML Engineer develops the data processes that make ML models generally available for use in products for end-users and customers. The ML engineer should understand machine learning algorithms, have experience in software engineering and various programming languages, including Python, SQL, and Apache Spark. An understanding of latest cloud technologies is imperative for the development and deployment of ML solutions as well. The chief contribution of the ML Engineer is their ability to optimize machine learning solutions for performance and scalability. Job 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. Ensure machine learning models are optimized and scalable. Education:Bachelor's Degree Computer Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Required) Master's/Advanced Degree Computer Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Preferred) Work Experience: Data Engineering, Data Science (Required) Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc., is preferred (Required) Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement (Required) Experience in programming languages such as Python/R, Java/Scala, and/ or Go (Required) Experience in Apache Spark and Databricks (Preferred) Experience in the telecom industry (Preferred) Knowledge, Skills and Abilities:Programming Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Required) Big Data Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning (Required) Licenses and Certifications: * At least 18 years of age * Legally authorized to work in the United States Travel: Travel Required (Yes/No):No DOT Regulated: DOT Regulated Position (Yes/No):No Safety Sensitive Position (Yes/No):No Base Pay Range: $97,700 - $176,200 Corporate Bonus Target: 15% The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's