2 days ago
Base Salary
$117k - $210k/yr
Responsibilities
- Lead end-to-end development of machine learning and data products from problem framing through deployment and monitoring.
- Build scalable data, training, and inference pipelines using distributed processing and cloud technologies.
- Apply statistical methods, experimentation, and validation frameworks to assess solution quality and business impact.
- Write production-quality code and contribute to testing, CI/CD, and observability practices.
- Collaborate across engineering, product, and business teams while leading other engineers and data scientists.
Requirements
- Bachelor's degree in a quantitative discipline plus 5 years of related experience, or an advanced degree plus 3 years of related experience.
- 4–7 years of experience building and deploying machine learning and deep learning solutions at scale, with familiarity with MLOps and DevOps practices and tools.
- 4–7 years of experience with big data architecture, modern analytical data platforms, and large-scale data warehousing technologies.
- 4–7 years of experience with large-scale distributed data systems and cloud platforms, including SQL, Python, Scala, and AWS.
- 4–7 years of experience solving complex data, machine learning, or algorithmic challenges in production environments using modern engineering practices.
- Strong background in AI/ML, data structures, statistical modeling, optimization algorithms, big data, and design thinking.
- Advanced knowledge of GCP, AWS, Python, PySpark, and related Python libraries such as pandas, scikit-learn, scipy, and numpy.
- Experience with streaming data, relational and non-relational databases, distributed processing technologies, and production ML and data systems in cloud and containerized environments.
- Experience in AdTech and GIS or geospatial data processing is preferred.
- Must be at least 18 years old and legally authorized to work in the United States.
Benefits
- Medical, dental, and vision insurance; flexible spending account; 401(k); employee stock grants; employee stock purchase plan; paid time off; and up to 12 paid holidays.
- Paid parental and family leave, family building benefits, backup care, enhanced family support, childcare subsidy, tuition assistance, and college coaching.
- Short- and long-term disability, voluntary AD&D, accident, life, disability, and long-term care insurance.
- Eligible employees may receive mobile service and home internet discounts, pet insurance, and commuter and transit programs.
- Annual stock grant, annual bonus or incentive opportunity, and access to free year-round money coaches.
- No travel is required; this is a regular, non-temporary position.
Tech Stack
Amazon RedshiftAWSGoogle BigQueryGoogle Cloud PlatformNumPyPandasPythonScalascikit-learnSciPySnowflakeSQL
Categories
Data EngineeringML Engineering
About T-Mobile
As the supercharged Un-carrier, T-Mobile US, Inc. (NASDAQ: TMUS) is powered by an award-winning 5G network that connects more people, in more places, than ever before. With T-Mobile’s unique value proposition of best network, best value, and best experiences, the Un-carrier is redefining connectivity and fueling competition while continuing to drive the next wave of innovation in wireless and beyond. Headquartered in Bellevue, Wash., T-Mobile provides services through its subsidiaries and operates its flagship brands, T-Mobile, Metro by T-Mobile, and Mint Mobile.