data engineer intern (e-commerce) - 2026 summer (bs/ms)

merchandising/sales representative, seattle

software development engineer , aws intent driven networking (aidn)

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data engineer intern (e-commerce) - 2026 summer (bs/ms) Jobs in Seattle

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data scientist, product analytics

data platform engineer

Apple

<p>As a Data Engineer on the Capacity Engineering team, you will help design, build, and operate the data foundation that drives capacity, cost, and power-related decisions across Apple&rsquo;s infrastructure footprint.<br>
<br>
In this role, you will:<br>
<br>
Architect, implement, and maintain large-scale batch and streaming pipelines that ingest, process, and model infrastructure telemetry, cost, metering, utilization, forecasting, and power metrics from multiple clouds and bare metal environments.<br>
<br>
Design and evolve robust data models (with a strong focus on dimensional modeling) and storage patterns that support analytics, internal billing, and efficiency use-cases.<br>
<br>
Treat data as a product: define quality checks, SLAs, and observability to ensure data is accurate, timely, and trusted by stakeholders across Apple.<br>
<br>
Integrate and enrich raw signals with metadata and attribution to power use cases such as internal billing/showback, usage understanding, efficiency and optimization, clawbacks, planning, and procurement.<br>
<br>
Collaborate closely with data scientists, software engineers, platform teams, finance partners, program managers, and leadership to translate requirements into scalable, reliable data solutions and services.<br>
<br>
Implement standard methodologies for data governance, lineage, metadata management, and security, in alignment with Apple&rsquo;s standards for data protection and privacy.<br>
<br>
Build end-to-end data solutions that include logging, anomaly detection, data validation, cleaning, and transformation, with strong emphasis on monitoring, debuggability, and continuous improvement.<br>
<br>
Contribute to the evolution of our data and platform stack, including tooling, frameworks, and standards for development, testing, deployment, and operations (CI/CD, infrastructure as code, etc.).<br>
<br>
<b>Description</b><br>
<br>
Apple&rsquo;s Capacity data engineering team, within the Apple Services Engineering organization, is building the centralized data backbone that powers how Apple understands, plans, and optimizes its cloud and data center infrastructure.<br>
<br>
We engineer a unified, trusted data lake that consolidates cost, metering, utilization, forecasting, and power metrics produced by Apple platforms and systems (including bare metal) across both third-party and Apple internal clouds. Enriched with metadata and attribution, this becomes the single source of truth for internal billing, understanding usage and utilization, clawbacks, planning, procurement, and efficiency initiatives.<br>
<br>
We collaborate with platform engineering, finance, capacity engineering, and leadership teams to build large-scale data pipelines, enable descriptive and predictive analytics, and power dashboards and products that support critical business decisions. This is your opportunity to help design and operate highly visible, global-scale systems processing petabytes of data and supporting hundreds of users across Apple.<br>
<br>
Come join us to help deliver the next generation of infrastructure insights at Apple.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Advanced degree in a related field a plus.<br>
<br>
Experience with data visualization / BI tools, such as Superset or Tableau (other tools like QuickSight, QlikView, Cognos, or Business Objects are a plus)<br>
<br>
Experience with containerization and orchestration, such as Docker and Kubernetes/EKS is a plus<br>
<br>
Understanding of authentication and authorization (AuthN/AuthZ) patterns<br>
<br>
Knowledge of data governance principles, data security best practices, and data privacy regulations<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Bachelors degree or equivalent experience in Computer Science, Information systems, Software Engineering, Data Science or related field.<br>
<br>
5+ years of experience in data engineering (or equivalent practical experience), including:<br>
<br>
Building and maintaining large-scale ETL/ELT data pipelines<br>
<br>
Distributed computing (e.g., Spark / PySpark) for data processing and automation<br>
<br>
Query performance optimization and tuning at scale<br>
<br>
Hands-on experience with:<br>
<br>
Apache Spark and Airflow (or similar workflow/orchestration tools) for efficient large-scale data pipelines<br>
<br>
Data modeling, especially dimensional modeling, and designing schemas optimized for analytics and reporting<br>
<br>
Big data platforms and/or data lake architectures<br>
<br>
Experience with CI/CD tooling such as Jenkins (or similar tools)<br>
<br>
Experience with cloud technologies, AWS/GCP (e.g., S3, EMR, Lambda, Glue, RDS/Redshift, Big-query, Kinesis or similar services)<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Sr. Data Engineer

<p>Are you excited about building innovative generative AI experiences that empower millions of users daily? Do you thrive in collaborative environments and enjoy applying your machine learning expertise to real-world user experiences? If so, we&rsquo;d love to hear from you. We&rsquo;re looking for a Senior Machine Learning Engineer to join the Apple Intelligence Data Platform team. This team powers key intelligence features across Apple&rsquo;s ecosystem - including Siri Suggestions, the Shortcuts app, and more - by building scalable, privacy-conscious ML systems! Our team is responsible for the Research, Development and Deployment of the core platform that powers Apple Intelligence on device and on private compute cloud - adapters, speculative decoding, guided generation to name a few. Our team is responsible for underpinning all the Apple Intelligence features we shipped to our customers including Writing Tools, Notification Summaries, ChatGPT integration, Siri and more. Our team has a great mix of talent across Machine Learning and Software Engineering. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams at Apple. Proactive Intelligence is central to Apple Intelligence. We&rsquo;re building a contextual, on-device platform that anticipates user needs - from predicting which app you'll launch next to understanding the difference between work and leisure modes. This is your opportunity to help shape the next generation of personal, privacy-preserving intelligence for millions of users! https://www.apple.com/apple-intelligence/ (https://www.apple.com/apple-intelligence/)<br>
<br>
<b>Description</b><br>
<br>
As an engineer on the Apple Intelligence Data Platform team, you will work on developing and integrating foundational components for on-device and cloud-based intelligence. You will focus on designing, building, and deploying scalable agent systems that understand your context and personal knowledge. Your work will directly influence how users interact with Apple products through context-aware, proactive, and personalized experiences. This role is ideal for candidates with hands-on experience in Vector databases, Knowledge Graphs, Semantic Search, Retrieval-Augmented Generation (RAG), decoding strategies, Generative AI inference, and prompt optimization. You will collaborate closely with several engineering teams at Apple -such as Accessibility, Hardware, Human Interface, NLP, Privacy, etc- to power exciting Apple Intelligence features and ship them to our customers.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
MS or Ph. D in Computer Science or a related field<br>
<br>
Deep understanding of machine learning and deep learning algorithms<br>
<br>
Experience in LLM, machine learning, deep learning, information retrieval or natural language processing<br>
<br>
Strong analytical and independent problem-solving skills<br>
<br>
Experience working in cross-functional teams across product, design, and infrastructure<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
5+ years of increasing responsibility and relevant experience<br>
<br>
Bachelor's Degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or a related field.<br>
<br>
Experience in Knowledge Graphs (KG), RAG systems, integration of LLMs with external memories, Vector databases and related fields.<br>
<br>
Excellent software design, problem solving, critical thinking and collaborative skills including written and verbal communication<br>
<br>
Proficiency in one or more of the following languages: Python, Go, Java, C++, or Swift<br>
<br>
Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior Machine Learning Engineer, Apple Intelligence Data Platform

Gates Foundation

<div><div>The Foundation</div><div>
We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities. As a workplace, we&rsquo;re committed to creating an environment for you to thrive both personally and professionally.</div><div></div><div>
The Team</div>
As part of the IT Enterprise Data Solutions (EDS) department, the Data Engineering team&rsquo;s mission is to lead on data technology and utilization, enabling informed decision-making and strategic insights across the foundation. We are committed to providing a robust, secure, and scalable data platform that empowers data-driven initiatives and cultivate collaboration. Working with our business operations and foundation strategy program partners, the team supports the management of the EDW, Enterprise Data Platform, building and integration of data systems, shared data exchange, data platform operations and data architecture support.<div></div><ul><li><i>This position is a limited-term position for 36 months. Relocation will not be provided.</i></li></ul><div></div><div>
Your Role</div><div>
As a Lead Data Engineer, you are an experienced technical leader for the foundation&rsquo;s Modern Data Platform. You are responsible for developing, delivering, and improving scalable, secure, and high-performing data solutions. These solutions enable enterprise reporting, analytics, search, AI, and data-driven decision-making across the foundation and its affiliates. You operate with a high degree of independence and accountability, serving as both a hands-on technical leader and a practice lead who shapes engineering standards, mentors engineers, and strengthens overall data platform capability. You translate complex organizational and technical challenges into practical data engineering strategies and scalable platform solutions. You are accountable not just for delivering pipelines or datasets, but for ensuring the health, reliability, performance, governance, and long-term sustainability of the enterprise data ecosystem.</div><div></div><div>
What You&rsquo;ll Do</div><div>
Technology &amp; Architecture Leadership</div><ul><li><div>
Define and evolve the data engineering technology roadmaps aligned to business strategies, enterprise architecture, information security standards.</div></li><li><div>
Provide architectural leadership on complex, cross-team data initiatives, ensuring solutions are scalable, secure, resilient, and maintainable.</div></li><li><div>
Lead data platform and vendor evaluations, guiding build vs. buy decisions and ensuring consistency with enterprise technical direction.</div></li><li><div>
Develop and promote data engineering standards for lakehouse architecture, ELT/ETL frameworks, data modeling, CI/CD, observability, and governance.</div></li><li><div>
Anticipate technology impacts across applications, data, integrations, and infrastructure&mdash;and guide teams through informed trade-off decisions including assessing new technology.</div></li></ul><div></div><div>
Solution Delivery &amp; Engineering Excellence</div><ul><li><div>
Day-to-day hands-on execution and implementation of solutions - using modern data platforms, initiatives, processes and practices.</div></li><li><div>
Be responsible for technical direction for large or multi-team delivery efforts, ensuring application of modern data engineering and DevSecOps practices.</div></li><li><div>
Conduct architectural and technical reviews of solution designs, code, and delivery approaches to raise quality and consistency.</div></li><li><div>
Champion automation, observability, and operational excellence to ensure platforms remain reliable, performant, and cost effective.</div></li><li><div>
Pilot emerging technologies and guide their adoption into stable enterprise capabilities when appropriate.</div></li><li><div>
Drive continuous improvement of engineering practices, tooling, automation and operational processes.</div></li></ul><div></div><div>
Service &amp; Portfolio Strategy</div><ul><li><div>
Partner with service managers and product owners to shape data service strategies, roadmaps and investment priorities.</div></li><li><div>
Translate complex system challenges into actionable plans aimed to improve sustainability, lifecycle health, and user experience.</div></li><li><div>
Provide senior-level support to annual planning, including resource needs, modernization opportunities, risks, and capacity considerations.</div></li><li><div>
Represent technology perspectives in strategic and portfolio discussions, ensuring alignment between business direction and technical capability.</div></li></ul><div></div><div>
Leadership, Influence &amp; Collaboration</div><ul><li><div>
Serve as a lead for the practice and senior mentor, coach data engineers and contingent staff, as well as managing service partners</div></li><li><div>
Build strong, collaborative relationships across IT, Business Operations, and programmatic teams.</div></li><li><div>
Lead cross-functional data architecture and design discussions, guiding teams through ambiguity with clarity, sound judgment, and tactical planning.</div></li><li><div>
Communicate effectively across technical and non-technical audiences, including senior leadership, converting complex concepts into clear implications and recommendations.</div></li><li><div>
Representing IT in foundation working groups, governance forums, and cross-team initiatives, coordinating efforts to reflect broader strategies and priorities.</div></li><li><div>
Lead core initiatives partnering across Program Strategy Teams, Operations and IT.</div></li></ul><div></div><div>
Your Experience</div><ul><li><div>
Bachelor&rsquo;s degree or equivalent experience typically requires an advanced degree or equivalent experience and a minimum of 10+ years of relevant data engineering experience in enterprise environments.</div></li><li><div>
Mastery-level knowledge of the data engineering field and modern data platform technology delivery, with deep experience in one or more key domains such as lakehouse architecture, distributed data processing, cloud data warehousing, data transformation frameworks, or data governance.</div></li><li><div>
Demonstrated ability to build and complete implementation plans for complex, enterprise-scale data platforms and pipelines. These platforms support analytics, reporting, AI/ML, and operational decision-making. They also impact on the achievement of the foundation&rsquo;s priorities.</div></li><li><div>
Proven experience developing and implementing standards, processes, and operational plans that improve stability, resilience, security, and performance of critical data platforms.</div></li><li><div>
Deep expertise with cloud-based data platforms - Azure Data services, Databricks, Snowflake and DBT cloud.</div></li><li><div>
Strong foundation in enterprise data architecture fields and the development of secure, scalable, aligned technology solutions.</div></li><li><div>
Advanced experience with CI/CD pipelines for data workloads, infrastructure as code, cloud-native operational models, and modern version control strategies.</div></li><li><div>
Strong proficiency in programming using data processing tools like Azure Data Factory, Fivetran, Databricks notebook, DBT cloud, ETL/ELT frameworks, as well as programming languages such as Python, SQL, Spark (PySpark/Scala) and scripting languages common to cloud data environments.</div></li><li><div>
Demonstrated success leading large-scale and complex data modernization initiatives, including migration from legacy data warehouses to modern cloud-based data platforms.</div></li><li><div>
Experience managing and reviewing vendors or offshore engineering work to ensure alignment with enterprise data standards, architecture principles and long-term sustainability.</div></li><li><div>
Excellent communication and influencing skills, with the ability to clearly and succinctly translate complex data architecture concepts into actionable recommendations for senior leadership, technical teams, and non-technical partners across multiple functions.</div></li><li><div>
Demonstrated ability to enable AI through data, with a strong understanding of AI use cases and the data architecture, quality, governance, lineage, and scalability requirements necessary to successfully support AI initiatives.</div></li><li><div>
Strong analytical and problem-solving abilities, demonstrating a dedication to operational excellence, continuous learning, and improving data engineering practices.</div></li><li><div>
May mentor, review, and delegate work to more junior engineers, building capability and maturity across the data engineering group.</div></li></ul><div></div><div><i>
Must have unrestricted work authorization in the country where this position is located. The Foundation does not provide immigration-related sponsorship for this role. This includes direct company sponsorship and any work authorization requiring a written submission or other immigration support from the company (eg: H-1B, O-1, L-1, E, OPT, STEM-OPT, CPT, TN, J-1, etc.).</i></div><div></div><div>
The salary range for this role is $190,100.00 to $294,700.00 USD. We recognize high-wage market differences in Seattle and Washington D.C., where our offices are located. The range for this role in these locations is $209,100.00 to $324,100.00 USD. As a mission-driven organization, we strive to balance competitive pay with our mission. New hires salaries are typically between the range minimum and the salary range midpoint. Actual placement in the range will depend on a candidate&rsquo;s job-related skills, experience, and expertise, as evaluated during the interview process.</div><div></div><div>
Hiring Requirements</div><div>
As part of our standard hiring process for new employees, employment will be contingent upon successful completion of a background check.</div><div></div><div>
Candidate Accommodations</div><div>
We&rsquo;re committed to providing an inclusive and accessible hiring experience for all candidates. If you have a disability or medical condition and need an accommodation at any stage of the application or interview process&mdash;such as an ASL interpreter, alternative interview format, or physical accessibility support&mdash;we&rsquo;re happy to help. Please contact HR@gatesfoundation.org with the position number and a brief description of your accommodation needs. Requests will be handled confidentially.</div><div></div><div>
Inclusion Statement</div><div>
We are dedicated to the belief that all lives have equal value. We strive for a global and cultural workplace that supports ever greater diversity, equity, and inclusion &mdash; of voices, ideas, and approaches &mdash; and we support this diversity through all our employment practices.</div><div></div><div>
All applicants and employees who are drawn to serve our mission will enjoy equality of opportunity and fair treatment without regard to race, color, age, religion, pregnancy, sex, sexual orientation, disability, gender identity, gender expression, national origin, genetic information, veteran status, marital status, and prior protected activity.</div></div>

Lead Data Engineer

TikTok

<div>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.
 <br/>
 <br/>
 Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks.
 <br/>
 <br/>
 Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date).
 <br/>
 <br/>
 <strong>
  Summer Start Dates
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   May 11th, 2026
  </li>
  <li>
   May 18th, 2026
  </li>
  <li>
   May 26th, 2026
  </li>
  <li>
   June 8th, 2026
  </li>
  <li>
   June 22nd, 2026
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Team Introduction
  <br/>
  <br/>
 </strong>
 As a data engineer in the Data Platform E-Commerce team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.
 <br/>
 <br/>
 Online Assessment
 <br/>
 <br/>
 Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.
 <br/>
 <br/>
 <strong>
  Responsibilities - What You'll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis);
  </li>
  <li>
   Design and implement reliable, scalable, robust and extensible big data systems that support core products and business;
  </li>
  <li>
   Establish solid design and best engineering practice for engineers as well as non-technical people.
   <br/>
   <br/>
  </li>
 </ul>
 By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Minimum Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Currently pursuing an Undergraduate/Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  </li>
  <li>
   Able to commit to working for 12 weeks during Summer 2026
  </li>
  <li>
   Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.);
  </li>
  <li>
   Experience with performing data analysis, data ingestion and data integration;
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications
 <br/>
 <br/>
 <ul>
  <li>
   Experience with ETL(Extraction, Transformation &amp; Loading) and architecting data systems;
  </li>
  <li>
   Experience with schema design, data modeling and SQL queries;
  </li>
  <li>
   Passionate and self-motivated about technologies in the Big Data area.
  </li>
  <li>
   Graduating December 2026 onwards with the intent to return to degree program after the completion of the internship.
   <br/>
   <br/>
  </li>
 </ul>
 Job Information
 <br/>
 <br/>
 【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
 <br/>
 <br/>
 The hourly rate range for this position in the selected city is $42.75- $42.75.
 <br/>
 <br/>
 Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
 <br/>
 <br/>
 The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
 <br/>
 <br/>
 <strong>
  For Los Angeles County (unincorporated) Candidates
  <br/>
  <br/>
 </strong>
 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
 <br/>
 <br/>
 <ul>
  <li>
   Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
  </li>
  <li>
   Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
  </li>
  <li>
   Exercising sound judgment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About TikTok
  <br/>
  <br/>
 </strong>
 TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
 <br/>
 <br/>
 Why Join Us
 <br/>
 <br/>
 Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
 <br/>
 <br/>
 We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 <br/>
 <br/>
 Diversity &amp; Inclusion
 <br/>
 <br/>
 TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
 <br/>
 <br/>
 TikTok Accommodation
 <br/>
 <br/>
 TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
</div>


Data Engineer Intern (E-commerce) - 2026 Summer (BS/MS)

<p>Do you love solving complex challenges? Are you an inventive self-starter who takes pride in making ideas come to life on a global scale? Are you passionate about developing data platforms using creative algorithms to process petabytes of data with very low latency? If so, join the ASE Data Platform team to design and build scalable data platform services that are used across Apple. As part of Apple Services Engineering, you will have a meaningful role in designing, developing, and deploying high-performance systems that handle billions of transactions daily. This enormous scale brings challenges that require extraordinarily creative problem-solving. We are seeking engineers who are passionate about creating data-driven products. This role requires a deep understanding of developing products that are highly scalable, highly available, and fault-tolerant.<br>
<br>
<b>Description</b><br>
<br>
We are building and supporting critical infrastructure systems and frameworks that provide and support services such as structured and unstructured storage, caching, queuing, searching, querying, and more. We are looking for a strong, enthusiastic developer to join as a member of this group. This person will have a tremendous amount of individual responsibility and influence over the direction of many critical Apple internet services for years to come. You are someone with ideas and a real passion for software delivered as a service to improve reuse, efficiency, and simplicity. This engineer's work will impact the success of some of Apple's most visible current and future features.<br>
<br>
&quot;,&quot;responsibilities&quot;:&quot;Lead the architecture, design, and roadmap for Apple Data Registry, ensuring scalability, performance, and reliability at massive enterprise scale.<br>
<br>
Drive the architecture and strategy for optimizing search relevancy, performance and customer experience.<br>
<br>
Partner with engineering, SRE, product, and customer teams to deliver highly observable, efficient, and secure production systems.<br>
<br>
Collaborate closely with internal customers to drive adoption, gather requirements, and deliver impactful platform capabilities.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Experience with contribution to Open Source projects is a plus<br>
<br>
Experience with multiple public cloud infrastructures is a plus<br>
<br>
Experience in cluster management/orchestration software like Kubernetes, Spinnaker, Helm charts, Docker is a plus<br>
<br>
A learning attitude to continuously improve the self, team, and the organization<br>
<br>
Deeply concerned about excellence and quality<br>
<br>
Loves fast-paced environment and learning new technologies<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
8+ years experience in data processing ecosystems<br>
<br>
Coding experience in Java/Scala/Go, preferably with critical, large-scale distributed systems<br>
<br>
Experience in designing and developing stateless APIs using HTTP and similar protocols to support service-oriented software distribution across multiple cloud environments<br>
<br>
Ability to design large-scale, complex applications with excellent run-time characteristics such as low latency, fault-tolerance, and availability<br>
<br>
Understands MPP Query Engines like Trino and StarRocks, etc.<br>
<br>
Bachelor's degree or Masters in Computer Science, Computer Engineering, or equivalent<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior / Staff Software Engineer, Apple Data Registry, Apple Data Platform

<p>The Apple Ray team is seeking a Senior / Staff Software Engineer with strong distributed systems expertise and a solid background in machine learning. In this hybrid role, you will design and build core components of Apple&rsquo;s unified data+ML platform powered by open-source Ray, while also partnering with ML teams to ensure the platform meets the needs of large-scale training and inference workloads.<br>
<br>
You will contribute to the distributed runtime, orchestration layer, and system APIs that power Apple&rsquo;s intelligent features across products and services. This role is ideal for a software engineer who enjoys low-level systems work but is also fluent in ML workflows and models at scale.<br>
<br>
<b>Description</b><br>
<br>
Apple Ray integrates deeply with Apple&rsquo;s data and ML ecosystem to provide a unified platform for building, orchestrating, and scaling complex ML and data pipelines. As a Software Engineer with ML background, you will design distributed systems that support large-scale model training, tuning, and inference across heterogeneous compute environments-from bare-metal GPU clusters to cloud-native infrastructure.<br>
<br>
You will build features that enhance developer productivity for ML engineers, improve resource efficiency, and advance the performance and reliability of Apple&rsquo;s ML workloads. You&rsquo;ll collaborate closely with ML practitioners to translate model and pipeline needs into robust platform capabilities, while also improving the underlying distributed runtime and control plane.<br>
<br>
This role requires strong engineering fundamentals, hands-on experience with ML systems, and a passion for building scalable infrastructure.&quot;,&quot;responsibilities&quot;:&quot;Build scalable distributed systems and platform components using Ray that power Apple&rsquo;s data+ML workflows.<br>
<br>
Develop APIs, libraries, and services that improve the efficiency and usability of large-scale ML training and inference pipelines.<br>
<br>
Optimize performance and resource utilization across GPU/CPU clusters for ML workloads running at Apple scale.<br>
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Collaborate with ML teams to understand model and pipeline needs and translate them into robust platform features.<br>
<br>
Design fault-tolerant orchestration mechanisms, autoscaling strategies, and runtime improvements for distributed ML jobs.<br>
<br>
Diagnose complex issues across distributed systems and ML pipelines to ensure reliability and availability.<br>
<br>
Improve observability, monitoring, and debugging capabilities targeted at ML-centric distributed workloads.<br>
<br>
Contribute to architectural decisions and, where appropriate, upstream enhancements to Ray and related tools.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Experience with distributed training frameworks (DeepSpeed, Horovod, FSDP, ZeRO).<br>
<br>
Background in optimizing GPU workloads or performance benchmarking.<br>
<br>
Experience with model orchestration systems or ML platforms.<br>
<br>
Contributions to open-source ML or distributed systems projects.<br>
<br>
Familiarity with large-scale data systems such as Spark, Flink, or similar.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
6+ years building distributed systems, high-scale backend services, or compute runtimes.<br>
<br>
Solid background in ML workflows, model training, model serving, or data pipeline development.<br>
<br>
Proficiency in Python, plus strong experience in a systems-level language (C++, Rust, Go, or Java).<br>
<br>
Experience with ML frameworks such as PyTorch or TensorFlow and familiarity with GPU-based training.<br>
<br>
Understanding of parallelism strategies, model scaling, or distributed training concepts.<br>
<br>
Experience with cluster orchestration (Kubernetes, EKS, GKE) or large-scale compute systems.<br>
<br>
Strong debugging skills across distributed and ML-centric runtime environments.<br>
<br>
Ability to work cross-functionally with ML engineers, data engineers, and infrastructure teams.<br>
<br>
B.S., M.S., or Ph.D. in Computer Science, Machine Learning, or related technical fields - or comparable software engineering experience.<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior / Staff ML Engineer, Apple Ray, Apple Data Platform

<p>The Apple Cloud Engineering team is looking for an exceptional software engineer to create highly performant and energy efficient systems that will power the next generation of data centers.<br>
<br>
We&rsquo;re looking for an engineer who can build and use models of our Data Centers to inform critical architectural decisions, who can write code for power and thermal management systems, and who can effectively lead and participate in cross-functional requirements engineering efforts during early architecture phases of development.<br>
<br>
If you are interested in working at the intersection of hardware and software for large scale, high visibility, and high impact projects, then this role will be exciting for you.<br>
<br>
<b>Description</b><br>
<br>
You will work cross-functionally with architecture, platform design, SOC architects, and software teams to develop and integrate best in class hardware, software and services. You will be responsible for architecting, developing, and on-boarding other engineers to maintain system software that powers next generation of data centers. As a member of the team, you will participate in all stages of software development, from new feature design and implementation, to maintenance and bug fixing of released code. You will build models for data center power and thermal systems that can inform critical architectural decisions. You will also use those models to ensure system functionality, verify requirements, understand failure modes, and ensure operation within defined limits.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Formal training in systems engineering<br>
<br>
Experience with distributed systems including leader election<br>
<br>
Data center power systems development experience<br>
<br>
Control systems development including transfer function development experience<br>
<br>
Experience working with factory processes and system bring-up<br>
<br>
Experience in calculating total cost of ownership (TCO)<br>
<br>
Strong understanding of infrastructure and platform system reliability calculations and fault domains<br>
<br>
Experience with hardware resource planning<br>
<br>
Experience with hardware deployment models<br>
<br>
Experience with Apple development tools<br>
<br>
Experience presenting architectural concepts and designs to executives<br>
<br>
Passion for software architecture, APIs and high performance extensible software.<br>
<br>
Passion for hardware and maximizing it&rsquo;s efficiency, performance, and overall utility through thoughtful software architecture<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
7+ years of industry experience as a system software developer<br>
<br>
Experience with tools used in systems dynamics or systems engineering fields such as JMP, Matlab, Simulink, Cameo, or equivalent<br>
<br>
Expertise in C, C++, Objective-C, or Swift<br>
<br>
Strong understanding of OS architecture and systems programming fundamentals<br>
<br>
Proficient at debugging complex interdisciplinary systems<br>
<br>
Experience with requirements engineering<br>
<br>
Excellent communication skills<br>
<br>
Creative, collaborative, and product-focused<br>
<br>
B.S. or M.S. in Computer Engineering, Electrical Engineering, Computer Science, Systems Engineering, or equivalent experience<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Sr. System Software Engineer, Apple Data Centers

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