machine learning engineer

software development engineer Jobs in Seattle

software development engineer

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adversarial machine learning engineer Jobs in Seattle

adversarial machine learning engineer

ai engineer (intern)

platform engineer

Apple

<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>
<br>
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

Capgemini

<div><div><div><p>Seattle</p><div>
Kubernetes Development Engineer</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.</p><div><div><div><div>
Location</div></div><div><p>
This is a fully remote role.</p></div></div><div><div><div>
About the job you&rsquo;re considering</div></div><div><p>
We are seeking a Kubernetes Engineer to design, deploy, and operate Kubernetes-based hosting platforms across edge and embedded systems. You&rsquo;ll play a critical role in ensuring our platform is secure, scalable, and resilient&mdash;supporting multi-tenant services and orchestrating workloads across aircraft and ground-based environments. This is a high-impact role for engineers who thrive in cloud-native ecosystems and are passionate about automation, security, and performance optimization. Experience in the telecom domain and networking is a strong plus.</p></div></div><div><div><div>
Your role</div></div><div><ul><li>
Develop and maintain custom Kubernetes controllers, CRDs, and operators to extend platform capabilities.</li><li>
Integrate Kubernetes with Linux-based infrastructure bootstrapped via PXE, OTA, and other provisioning methods.</li><li>
Deploy and configure K3s clusters across heterogeneous hardware (bare metal, ARM/x86 nodes, and accelerators).</li><li>
Automate cluster provisioning, node registration, and upgrade workflows.</li><li>
Monitor platform health using Prometheus, Grafana, and Kubernetes Events.</li><li>
Enforce network policies, RBAC, secrets management, and container security best practices.</li><li>
Optimize Kubernetes performance on constrained hardware and air-gapped systems.</li><li>
Troubleshoot container runtimes, DNS resolution, and overlay networking (e.g., Calico, Flannel).</li></ul></div></div><div><div><div>
Your skills and experience</div></div><div><ul><li>
5+ years of experience managing Kubernetes platform components and lifecycle operations.</li><li>
Understanding of multi-node hybrid clusters across x86, ARM, and accelerators.</li><li>
Proficiency with Helm charts and Argo CD for application and platform deployment.</li><li>
Strong skills in Go, Bash scripting, YAML/JSON configuration, and REST API development.</li><li>
Deep understanding of Kubernetes CNI plugins and network policy management.</li></ul></div></div></div><p>
The base compensation range for this role in the posted location is: $76,200-$187,740.</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
436453-en_GB</div></div><div><div>
Posted on</div><div>
12 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Seattle</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Products &amp; Systems Engineering</div></div></div></div></div></div></div></div></div><p></p>

Kubernetes Development Engineer

<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

<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

<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

Whatnot

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  <strong>
   🚀 Join the Future of Commerce with Whatnot!
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  </strong>
 </strong>
 Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We&rsquo;re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we&rsquo;re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, Poland, and Australia, we&rsquo;re building the future of online marketplaces &ndash;together.
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 From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.
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 And we&rsquo;re just getting started! As one of the fastest growing marketplaces, we&rsquo;re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.
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  💻 Role
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 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
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 <br/>
 As our newest
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  Data Engineer
 </strong>
 , you&rsquo;ll build and scale the systems that power data-driven decisions across the company. You&rsquo;ll work directly with stakeholders across the business &ndash; such as product, sales, marketing, finance, and trust teams &ndash; to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot&rsquo;s internal and external growth.
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  On Any Given Day, You Will
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 </strong>
 <ul>
  <li>
   Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
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  <li>
   Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains&mdash;user activity, transactions, experimentation, marketing performance, and operational telemetry&mdash;with tight guarantees for latency, completeness, and accuracy.
  </li>
  <li>
   Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
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  <li>
   Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
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  <li>
   Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
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  <li>
   Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.
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   <br/>
  </li>
 </ul>
 Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams.
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 <strong>
  👋 You
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 </strong>
 We&rsquo;ve Learned That Low Ego, a Growth Mindset, And a Bias Toward Action Create Outsized Impact At Whatnot. You&rsquo;ll Thrive Here If You
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 <ul>
  <li>
   Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
  </li>
  <li>
   Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
  </li>
  <li>
   Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
  </li>
  <li>
   Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
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  <li>
   Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
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  <li>
   Enjoy partnering across disciplines&mdash;engineering, product, analytics&mdash;to translate messy business requirements into elegant data systems.
  </li>
  <li>
   Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.
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  </li>
 </ul>
 If designing the data backbone that powers Whatnot&rsquo;s growth, insights, and product innovation excites you, we&rsquo;d love to meet you.
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 <strong>
  We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
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  💰Compensation
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 </strong>
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  For Full-Time (Salary)
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  <br/>
 </strong>
 <strong>
  US based applicants:
 </strong>
 $180,000/year to $260,000/year + benefits + equity.
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 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
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  🎁 Benefits
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 </strong>
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  <li>
   Generous Holiday and Time off Policy
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   Health Insurance options including Medical, Dental, Vision
  </li>
  <li>
   Work From Home Support
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  <ul>
   <li>
    Home office setup allowance
   </li>
   <li>
    Monthly allowance for cell phone and internet
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  </ul>
  <li>
   Care benefits
  </li>
  <ul>
   <li>
    Monthly allowance for wellness
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   <li>
    Annual allowance towards Childcare
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   <li>
    Lifetime benefit for family planning, such as adoption or fertility expenses
   </li>
  </ul>
  <li>
   Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  </li>
  <li>
   Monthly allowance to dogfood the app
  </li>
  <ul>
   <li>
    All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
   </li>
  </ul>
  <li>
   Parental Leave
  </li>
  <ul>
   <li>
    16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
   </li>
  </ul>
 </ul>
 <strong>
  <strong>
   💛 EOE
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   <br/>
  </strong>
 </strong>
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
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 <br/>
 Compensation Range: $180K - $260K
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</div>


Data Engineer

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