1 day 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 evaluate solution quality and business impact.
- Write production-quality code and contribute to testing, CI/CD, observability, and engineering best practices.
- Collaborate with engineering, product, and business stakeholders while leading other engineers and data scientists.
Requirements
- Bachelor's degree plus 5 years of related work experience or an advanced degree with 3 years of related experience.
- Degree in a quantitative discipline such as mathematics, statistics, economics, computer science, physics, or engineering.
- 4-7 years of experience building and deploying machine learning and deep learning solutions at scale.
- 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, cloud platforms, and production data, machine learning, or algorithmic challenges.
- 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, and production machine learning and data systems in cloud and containerized environments.
- AdTech and GIS or geospatial data processing experience are 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, employee stock purchase plan, 401(k), and access to free year-round money coaches.
- No travel is required; the role is a regular, non-temporary position with annual bonus eligibility.
Tech Stack
Amazon RedshiftAWSGoogle BigQueryGoogle Cloud PlatformNumPyPandasPythonScalascikit-learnSciPySnowflakeSQL
Categories
Data EngineeringML Engineering
About T-Mobile
T-Mobile provides nationwide 5G and 4G LTE wireless services for consumers and businesses, along with fixed wireless home internet and IoT connectivity. It sells mobile plans, devices, and enterprise wireless solutions under the T-Mobile, Metro by T-Mobile, and Mint Mobile brands. Headquartered in Bellevue, WA, the company trades on NASDAQ as TMUS and is majority-owned by Deutsche Telekom.