Senior Engineer, Machine Learning

3 weeks ago

Municipal District of Nenagh, Ireland T-Mobile USA, Inc Full time

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 Senior Machine Learning (ML) Engineer focuses on enabling systems for 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 senior ML engineer should understand machine learning algorithms and be able to explain ML models to the business. Experience in software engineering and various programming languages, including Python, SQL, and scalable computing such as Apache Spark are essential. This position also requires an in-depth knowledge of the latest cloud computing technologies that are imperative for ML model development and deployment in this era. The chief contribution of the Senior ML Engineer is their ability to guide, influence, and inspire peak performance, innovation, and adoption of the latest software/ML engineering practices to enable AI technologies across the TMUS organization.


Job Responsibilities
  1. Mentor and guide a team of machine learning engineers that deliver novel, strategic scalable and optimized intelligent solutions with diverse, industry-leading skills in distributed machine Learning workflows/lifecycle, edge AI, data engineering, and tools both in the cloud and on-device.
  2. Assemble large, complex data sets that meet functional/non-functional business requirements for machine learning.
  3. Collaborate with data science, data engineering, and product teams on defining, architecting, and building data ingestion systems and model training pipelines from experimentation to deployment, monitoring, and continuous performance improvement.
  4. Establish processes and standard methodologies to help grow the ML Engineering team.
  5. Communicate complex processes to business leaders.
  6. Develop an in-depth understanding of business processes that are vital to solve analytics problems by understanding them and developing solutions catered to solve business problems/provide meaningful results.

Education
  1. Bachelor's Degree in Computer Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Required)
  2. Master's/Advanced Degree in Computer Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Preferred)

Work Experience
  1. 4-7 years in Data Engineering, Data Science (Required)
  2. 4-7 years Experience building and optimizing 'big data' data pipelines, architectures, and data sets using SQL, Teradata, Oracle or similar (Required)
  3. 4-7 years Experience in Apache Spark and Databricks (Preferred)
  4. 4-7 years Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement (Required)
  5. 4-7 years Experience in languages such as Python/R, Java/Scala, and/or Go (Required)
  6. 4-7 years Experience delivering high-quality ML models in production (Required)
  7. Experience with real-world MLOps and knowledge of working in cloud-computing environment like Azure, AWS or Google Cloud (Preferred)
  8. Experience in the telecom industry (Preferred)

Knowledge, Skills and Abilities
  1. Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Required)
  2. Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning (Required)
  3. Ability to analyze a business problem/situation/task and develop it in a constructive solution to help the business make informed decisions (Required)
  4. Ability to manage work across multiple projects, good organizational skills (Preferred)
  5. Domain knowledge related to various streams in telecommunications including but not limited to Marketing, Customer Experience, Finance or Strategy (Preferred)

Licenses and Certifications
  1. At least 18 years of age
  2. Legally authorized to work in the United States

Travel

Travel Required: No


DOT Regulated

DOT Regulated Position: No

Safety Sensitive Position: No


Base Pay Range

$108,000 - $194,900


Corporate Bonus Target

15%


Benefits

At T-Mobile, our benefits exemplify the spirit of One Team, Together A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, 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, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs


Equal Opportunity Employer

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.


Company Details

Company: T-Mobile USA, Inc

Industry: Wireless Telecommunications Carriers (except Satellite)


Job Information

Location: Bellevue, WA

Website: T-Mobile

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