T-Mobile

Engineer, AI

T-Mobile$110K — $198K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree plus 3 years of relevant experience or advanced degree with 1 year of experience
  • Preferred degrees in Computer Science, Engineering, Artificial Intelligence, Data Science, or related fields
  • 2-4 years experience in developing and deploying machine learning models
  • 2-4 years experience with AI tools and software development in Python or R
  • 2-4 years of collaborating with cross-functional teams on AI integrations

Responsibilities

  • Develop AI models to enhance customer service automation capabilities
  • Apply prompt engineering and fine-tuning techniques for AI optimization
  • Create AI tools for integrating AI improvements into operational frameworks
  • Collaborate with cross-functional teams for effective AI system integration
  • Design AI systems that improve interaction capabilities in complex workflows
  • Contribute to strategic AI initiatives to enhance customer satisfaction and efficiency
  • Perform additional duties as assigned by management

Benefits

  • Medical, dental, and vision insurance
  • 401(k) with company match
  • Employee stock grants and purchase plans
  • Paid time off and up to 12 paid holidays annually
  • Tuition assistance and college coaching programs
  • Mobile service and home internet discounts
  • Childcare subsidy and family building benefits
Full Job Description
Job Overview
This role develops and refines artificial intelligence (AI) models to improve customer service automation capabilities. It involves applying prompt engineering, fine-tuning, and creating AI tools to optimize AI system performance. The role designs sophisticated AI systems to enhance interaction capabilities within complex service workflows. Success is measured by the effective integration and functionality of AI systems that advance organizational goals. The work impacts the organization by improving operational efficiency and customer satisfaction through AI-driven improvements.

Job Responsibilities:
  • Develop AI models to enhance customer service automation capabilities with measurable improvements
  • Apply prompt engineering and fine-tuning techniques to optimize AI system performance effectively
  • Create AI tools that support integration of AI-driven improvements into operational frameworks
  • Collaborate with cross-functional teams to ensure effective integration and functionality of AI systems
  • Design AI systems that improve interaction capabilities within complex service workflows
  • Contribute to strategic AI initiatives that advance organizational goals of customer satisfaction and efficiency
  • Also responsible for other duties/projects as assigned by business management as needed


Education and Work Experience:
  • Bachelor's Degree plus 3 years of related work experience
    OR advanced degree with 1 year of related work experience
    OR combination of education and experience deemed equivalent (Required)
  • Acceptable areas of study include Computer Science, Engineering, Artificial Intelligence, Data Science, or Related Field (Preferred)
  • 2-4 years Developing and deploying machine learning models, including fine-tuning and prompt engineering (Preferred)
  • 2-4 years Experience with AI tools and software development using programming languages such as Python or R (Preferred)
  • 2-4 years Collaborating with cross-functional teams to integrate AI solutions into business workflows (Preferred)


Knowledge, Skills and Abilities:
  • Cloud Computing (Required)
  • Collaboration (Required)
  • Customer-Focused (Required)
  • Data Analysis (Required)
  • Data Management (Required)
  • Data Modeling (Required)
  • Model Tuning (Required)
  • Prompt Engineering (Required)


Licenses and Certifications:
  • Certified Analytics Professional (CAP): Certification that validates an individual's expertise in data analytics processes, including the ability to model and interpret complex data. (Preferred)
  • Machine Learning Certification: Certification demonstrating proficiency in machine learning techniques and applications, relevant for developing AI models. (Preferred)
  • Certified Data Scientist (CDS): Certification that endorses skills in data science and its application in AI modeling, crucial for enhancing AI-driven customer service solutions. (Preferred)


  • 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: $110,200 - $198,700

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 eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ367805¶dox=1

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! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com.

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!

About T-Mobile

T-Mobile US, Inc. is a wireless company. As of December 31, 2016, the Company provided wireless communications services, including voice, messaging and data, to over 71 million customers in the postpaid, prepaid and wholesale markets. It provides services, devices and accessories across its brands, T-Mobile and MetroPCS. It provides wireless communication services through a range of service plan options. The Company offers a device trade-in program, Just Upgrade My Phone (JUMP!), which provides customers a specified-price trade-in credit and upgrade eligibility after approximately six months of service; Equipment Installment Plan (EIP), which is designed to provide financing to customers for the purchase of devices, and installment agreements for accessories; T-Mobile Tuesdays, which offers customers free stuff and access to various offers from brands; and T-Mobile ONE and Simple Choice plans.
Learn more about T-Mobile
Size
75,000 employees
Market Cap
$174.7 billion
Industry
Net Income
$3 billion
Founded
2002
5 Year Trend
+16.4%
Revenue
$68.3 billion
NASDAQ

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