CrawlJobs Logo
T-Mobile Logo T-Mobile · IT - Software Development

Associate Machine Learning Engineer

United States, Bellevue 75300.00 - 135800.00 USD / Year · Job Posted January 09, 2026
Apply Position
Job Link Share

Job Description

The Associate Machine Learning (ML) Engineer at T-Mobile is instrumental in advancing our AI-driven initiatives. This role focuses on supporting the design, development, and deployment of machine learning models that enhance our customer interactions and operational efficiency. By leveraging data-driven insights and modern ML frameworks, the engineer contributes to innovation and helps integrate AI technologies into T-Mobile’s products and services. Working closely with senior ML engineers, data scientists, and cross-functional engineering teams, this role provides an opportunity to gain hands-on experience with end-to-end ML pipelines, big data platforms, and cloud technologies while learning industry best practices.

Job Responsibility

  • Assist in designing, developing and refining machine learning models to enhance customer interactions and operational efficiency
  • Support data preparation, training, testing, and evaluation for ML and deep learning models
  • Build and maintain data pipelines for large-scale training and inference
  • Optimize model performance, including feature engineering, hyperparameter tuning, and algorithm selection
  • Work with large language models (LLMs) and leverage ML frameworks for training, testing and evaluation
  • Collaborate with data scientists and engineering teams to integrate ML models into production systems and ensure scalability
  • Utilize platforms such as Databricks, Snowflake, and Apache Spark to build and manage ML pipelines
  • Support the development of end-to-end model training pipelines using TensorFlow, Keras, PyTorch, HuggingFace and TensorBoard for visualization
  • Leverage containerization and orchestration tools (Docker, Kubernetes)
  • Stay updated with the latest AI/ML research, tools, and technologies to enhance development practices

Requirements

  • Bachelor's Degree in Computer Science, Engineering, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field (Required)
  • Master's/Advanced Degree in Computer Science, Machine Learning, Data Science, or a related field (Preferred)
  • Experience in developing or deploying ML models (academic, internship, or professional experience acceptable)
  • Experience with cloud technologies for model training and deployment (Preferred)
  • Solid understanding of classic supervised and unsupervised machine learning algorithms (e.g., classification, clustering, regression, SVM) (Required)
  • Familiarity with deep learning architectures (LSTM, CNNs) and LLMs (Preferred)
  • Knowledge of ML frameworks like TensorFlow, Keras, and PyTorch as well as MLOps tools (Preferred)
  • Proficiency in data manipulation and analysis using Apache Spark, Databricks, and Snowflake for big data processing (Required)
  • Working knowledge of SQL for querying and managing databases (Preferred)
  • Experience with containerization and orchestration tools (Docker, Kubernetes) (Preferred)
  • Proficiency in Python or R (Required)
  • Strong knowledge of software engineering principles: version control, testing, CI/CD. (Preferred)
  • Familiarity with Agile practices for iterative development (Preferred)
  • Strong foundation in probability, statistics, and mathematics (Required)
  • Ability to work in cross-functional teams to integrate AI technologies into production (Required)
  • Strong problem-solving and analytical skills to troubleshoot ML solutions (Required)
  • Excellent communication skills to collaborate with technical and non-technical teams (Preferred)
  • At least 18 years of age
  • Legally authorized to work in the United States

Nice to have

  • Master's/Advanced Degree in Computer Science, Machine Learning, Data Science, or a related field
  • Experience with cloud technologies for model training and deployment
  • Familiarity with deep learning architectures (LSTM, CNNs) and LLMs
  • Knowledge of ML frameworks like TensorFlow, Keras, and PyTorch as well as MLOps tools
  • Working knowledge of SQL for querying and managing databases
  • Experience with containerization and orchestration tools (Docker, Kubernetes)
  • Strong knowledge of software engineering principles: version control, testing, CI/CD
  • Familiarity with Agile practices for iterative development
  • Excellent communication skills to collaborate with technical and non-technical teams

What we offer

  • Competitive base salary and compensation package
  • Annual stock grant
  • Employee stock purchase plan
  • 401(k)
  • Access to free, year-round money coaches
  • Medical, dental and vision insurance
  • Flexible spending account
  • Employee stock grants
  • Employee stock purchase plan
  • Paid time off
  • Up to 12 paid holidays
  • 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
  • Voluntary long-term care insurance
  • Mobile service & home internet discounts
  • Pet insurance
  • Access to commuter and transit programs
T-Mobile - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Associate Machine Learning Engineer

8 matching positions

Associate AI / Machine Learning Engineer

Intratek Computer, Inc. is looking for a Associate AI / Machine Learning Enginee...
Location
Location
United States , Long Beach
Salary
Salary:
Not provided
intrapc.com Logo
Intratek Computer, Inc.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 0–2 years of professional experience or equivalent hands on projects, internships, or academic work
  • Practical or academic exposure to supervised learning and time series forecasting
  • familiarity with basic model evaluation metrics
  • Strong SQL skills and comfort with relational data concepts
  • Proficiency in Python for data workflows
  • familiarity with PHP is a plus
  • Demonstrated curiosity, ability to learn quickly, and willingness to seek mentorship and iterate
  • Ability to document technical work clearly and present findings to both technical and nontechnical stakeholders
  • Able to run experiments, troubleshoot issues, and deliver a demo ready POC with guidance from senior engineers
Job Responsibility
Job Responsibility
  • POC Design and Delivery Build an end to end ML proof of concept in MySQL HeatWave covering data ingestion, feature engineering, model training, evaluation, and inference
  • In Database Modeling Leverage HeatWave ML where appropriate and evaluate tradeoffs between in database and external model workflows
  • Integration and Automation Develop lightweight Python and/or PHP scripts or services to automate data flows, run experiments, and serve inference results
  • Feature Engineering and Evaluation Explore datasets, create features, compare model approaches for regression, classification, and forecasting, and produce clear evaluation metrics
  • Partner Collaboration Work closely with Oracle, Domo, and internal subject matter experts to absorb best practices and translate them into repeatable implementations
  • Documentation and Communication Produce architecture diagrams, assumptions, limitations, evaluation results, and an executive summary that communicates business impact
  • Productionization Roadmap Deliver a pragmatic recommendation for next steps including cost estimates, scalability considerations, security and compliance risks, and a prioritized implementation plan
What we offer
What we offer
  • Medical benefits
  • Paid vacation
  • Paid holidays
  • PTO
  • Fulltime
Read More
Arrow Right
New

Senior Machine Learning Engineer

Location
Location
United States
Salary
Salary:
156190.05 - 211315.95 USD / Year
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate degree OR Master's degree and 2 years of relevant experience OR Bachelor's degree and 4 years of relevant experience OR Associate's degree and 8 years of relevant experience OR High school diploma / GED and 10 years of relevant experience
Job Responsibility
Job Responsibility
  • Build scalable AI proof-of-concepts that are designed to demonstrate a clear path from prototype to enterprise-scale solution
  • Partner with product managers, business stakeholders, platform teams, and AI & software engineers to translate ambiguous business needs into practical AI solutions with measurable value
  • Design and implement modern AI systems using LLMs, agentic workflows, retrieval-augmented generation, data pipelines, APIs, cloud-native services, and enterprise platforms
  • Rapidly validate feasibility and value by assessing technical risk, data readiness, integration complexity, user experience, security considerations, performance, cost, and business impact
  • Create reusable technical assets such as reference architectures, reusable components, documentation, decision records, and handoff materials that enable product, platform, or delivery teams to scale successful POCs
  • Raise the technical bar for the team by modeling strong engineering practices, mentoring others, improving delivery patterns, and bringing clear ownership and accountability to uncertain, fast-moving work
What we offer
What we offer
  • health and welfare plans for staff and eligible dependents
  • financial plans with opportunities to save towards retirement or other goals
  • work/life balance
  • career development opportunities
  • Retirement and Savings Plan with generous company contributions
  • group medical, dental and vision coverage
  • life and disability insurance
  • flexible spending accounts
  • discretionary annual bonus program
  • stock-based long-term incentives
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer - Forecasting

We are seeking a Senior Machine Learning Engineer, Forecasting to join the Forec...
Location
Location
United States , Los Angeles
Salary
Salary:
156190.05 - 211315.95 USD / Year
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate degree OR Master's degree and 2 years of applying data science in enterprise environments experience OR Bachelor's degree and 4 years of applying data science in enterprise environments experience OR Associate's degree and 8 years of applying data science in enterprise environments experience OR High school diploma / GED and 10 years of applying data science in enterprise environments experience
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable machine learning systems and forecasting pipelines to support demand forecasting across near-, medium-, and long-term planning horizons
  • Productionize advanced statistical, Bayesian, and machine learning forecasting models, including training, validation, deployment, and lifecycle management
  • Build and optimize data pipelines, feature engineering workflows, and batch and real-time inference systems using large, complex datasets
  • Own the end-to-end ML engineering lifecycle, including solution design, prototyping, model integration, testing, deployment, monitoring, observability, and continuous improvement
  • Develop robust MLOps capabilities, including model versioning, CI/CD, automated retraining, performance monitoring, drift detection, and rollback strategies
  • Partner closely with data scientists and business stakeholders to operationalize forecasting, simulation, and scenario-analysis capabilities that support strategic decision-making
  • Establish and promote software engineering best practices, including code quality, documentation, reproducibility, and system reliability
  • Research and evaluate emerging tools, platforms, and methodologies in machine learning engineering, forecasting, and AI for potential application to business problems
What we offer
What we offer
  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible
  • Fulltime
Read More
Arrow Right

Cloud Machine Learning Engineer

We are seeking a Cloud ML Engineer (AWS) within Data & Analytics GSL to use ML/A...
Location
Location
India , Pune
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience managing the development lifecycle for agile software development projects (Kanban or Scrum exposure)
  • Robust data modelling and data architecture skills
  • Knowledge of Big Data frameworks such as Hadoop, Spark, Hive, Yarn, and Airflow
  • Experience with distributed ML frameworks (for example H2O and/or TensorFlow) and various ML libraries
  • Proven experience creating and deploying end-to-end ML pipelines in production, including MLOps
  • Programming experience in Java and Python
  • Experience with containerisation (Docker/Kubernetes) or cloud alternatives is advantageous
  • Mandatory working experience with AWS services including: SageMaker Pipelines, SageMaker Studio, CloudFormation, CloudTrail, SNS, EventBridge, CodePipeline, CodeBuild, CodeCommit
  • Experience with other distributed technologies, NoSQL databases, and streaming technologies is desirable
  • Strong written and verbal communication, with excellent interpersonal and collaboration skills
Job Responsibility
Job Responsibility
  • Design and develop machine learning systems and implementation patterns
  • Automate predictive model software, including model training
  • Productionise data science prototypes and develop machine learning applications aligned to data science requirements
  • Facilitate the flow of data between ML/AI models and the organisation's data systems
  • Enhance data pipelines to ensure data is clean, accurate, and optimised for machine learning models
  • Partner with the architecture team to evolve Big Data platform capabilities (reusable assets/patterns) and components to meet business requirements and objectives
  • Research, investigate, and evaluate new technologies and methods to improve delivery and sustainability of machine learning applications and services
  • Contribute to defining best practice for agile development of applications running on the Big Data platform
What we offer
What we offer
  • Opportunities to deliver business value by enabling scalable ML capabilities for local markets and group functions
  • The chance to work on production-grade ML systems, end-to-end pipelines, and MLOps practices on AWS
  • Collaboration with architecture teams to shape reusable Big Data platform assets and engineering patterns
  • Scope to explore and evaluate new technologies and methods to improve sustainability and delivery of ML applications and services
  • Strengthening best practices for productionising data science prototypes into reliable ML applications
  • Deepening hands-on expertise in AWS-native MLOps and pipeline automation (including SageMaker and AWS developer tools)
  • Enhancing Big Data platform design skills through reusable patterns, components, and data pipeline optimisation
  • Improving cost and resource efficiency approaches across compute, network usage, and platform objectives
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

Senior Machine Learning Engineers at Thoughtworks build, maintain and test the a...
Location
Location
Peru , Lima
Salary
Salary:
Not provided
thoughtworks.com Logo
Thoughtworks
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • An advanced English level is required
  • Strong experience with LLM and AI
  • Experience in writing clean, maintainable and testable code
  • Proficient in scripting languages such as Python or Shell
  • Knowledge of distributed systems and scalable architectures
  • Experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms (i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch)
  • Experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML
  • Experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles
  • Experience with designing and operating the infrastructure required to run different types of ML training and serving workloads (i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.)
  • Hands-on experience with on-premise and cloud services for building and deploying ML pipelines (i.e.: Azure, AWS, GCP or Databricks and associated ML managed services)
Job Responsibility
Job Responsibility
  • Contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security
  • Collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications
  • Own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation
  • Drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks
  • Stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape
  • Facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers
  • Contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives
  • Proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements
What we offer
What we offer
  • Learning & Development
  • Interactive tools
  • Numerous development programs
  • Teammates who want to help you grow
  • Fulltime
Read More
Arrow Right

Machine Learning Research Associate

The Machine Learning research team at Hewlett Packard Labs seeks highly motivate...
Location
Location
United States , Milpitas
Salary
Salary:
43.27 - 93.15 USD / Hour
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Pursuing a Ph.D. degree (with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, statistics, etc.)
  • Track record of world-class innovative contributions and ideas in machine learning
  • Experience in deep learning, LLM, Agentic AI, and reinforcement learning research
  • Experience in developing deep learning software with high proficiency in data structures and algorithms
  • Experience in Machine Learning frameworks like PyTorch - required
  • Strong programming skills and experience with Python
  • Software development experience in Deep Learning, GPU acceleration, and Model Optimization
  • Demonstrated effective communication and collaboration skills
  • Demonstrated ability for original research papers published in top-tier conferences or journals.
Job Responsibility
Job Responsibility
  • Provide thought leadership and technical influence both internally and externally to HPE
  • Work on cutting-edge machine learning research focusing on Large Language Models, Agentic AI, and Reinforcement Learning
  • Contribute along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer
  • Publish in top AI conferences and workshops, including NeurIPS, AAAI, and ICML.
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Senior Associate, Product Management - Machine Learning and AI

Senior Associate, Product Management - Machine Learning and AI. Product Manageme...
Location
Location
United States , McLean; Charlotte; Richmond
Salary
Salary:
101100.00 - 126900.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree or military experience
  • At least 1 year of product management experience or at least 1 year of experience in product design, agile delivery, business analysis, data science, or software engineering
Job Responsibility
Job Responsibility
  • Lead the development of our next generation of GenAI products
  • Guide the product development teams, and ensure the alignment of product features with strategic business goals
  • Oversee the planning, execution, and delivery of artificial intelligence products within Commercial Bank
  • Collaborate with engineers and data scientists to define product specifications
  • Work with marketing, ops, risk, lending, sales teams to ensure the products resonate with the market
  • Conduct market analysis to identify trends and opportunities for AI applications, techniques
  • Manage the product roadmap, prioritize features, and make strategic decisions to balance business goals with technological & AI capabilities
  • Work with stakeholders across different lines of business including Commercial Real Estate, Corporate Bank, Capital Markets, Treasury Management, etc. to understand user needs, gaps, and opportunities
  • Leverage a design thinking approach to understand user personas and journey to drive problem solving
  • Develop a short to medium-term roadmap for the product based on problems, gaps, and opportunities
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • Fulltime
Read More
Arrow Right
New

Senior Machine Learning Scientist (Experiences)

About Tripadvisor The Tripadvisor Group connects people to experiences worth sha...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
tripadvisor.com Logo
Tripadvisor
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s or Ph.D. degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field
  • 5+ years of industry experience developing, validating, and deploying large-scale ML models in production environments
  • Strong practical and theoretical foundation in machine learning techniques, feature engineering, and deep learning paradigms
  • Proven ability to tweak, hybridize, and adapt existing state-of-the-art architectures to solve non-linear business problems
  • Experience with multi-task learning (MTL), ranking, Content AI stacks, Agentic AI etc is highly desirable
  • Mastery of Python and deep learning frameworks (such as PyTorch, PyTorch Lightning, or TensorFlow) alongside familiarity with data versioning and experiment tracking tools
Job Responsibility
Job Responsibility
  • Act as the technical lead for specific ML projects within your pod. Design and implement custom model components or loss functions that don't exist 'off-the-shelf,' breaking down massive research goals into deliverable, iterative milestones
  • Evaluate the global research landscape to conduct cost-benefit analyses on new architectures, balancing model complexity against inference speed, memory usage, and execution costs (such as token consumption). Optimize models for production using techniques like quantization and distillation
  • Tailor Golden Datasets and leaderboards with minimal supervision, and implement rigorous validation automation (such as backtesting and slice-based evaluation) to prevent data leakage, over-fitting, and production regressions
  • Collaborate closely with Engineering Leads to ensure compute/GPU infrastructure supports model requirements. Clearly define model failure modes, edge cases, and confidence thresholds—to enable SWE partners to build robust fallback systems
  • Diagnose complex algorithmic bugs and implement automated checks for 'Silent Failures' (e.g., concept drift or production feature distribution shifts). Lead team-level post-mortems and resolve blocking corrective actions
  • Formally mentor mid-level and associate ML scientists, reviewing their experimental logic to ensure high scientific rigor while guiding them through applied ML and production constraints
What we offer
What we offer
  • Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
  • 'Work your way' with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team
  • Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work
  • Donation matching. Give back? Give more! We match qualifying charitable donations annually
  • Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs
  • Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you
  • Travel perks. We believe that travel is employee development, so we provide discounts and more
  • Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges
  • Health benefits. We offer great coverage and competitive premiums
  • Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates
  • Fulltime
Read More
Arrow Right