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senior associate, infrastructure project advisory (construction/engineering) Jobs in Seattle

infrastructure engineer

Software Engineer, Infrastructure

DigitalOcean

<div><div>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</div>
DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Data Plane team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our &quot;Inference as a Service&quot; offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents.
<h2 class="jobSectionHeader">
What You'll Do:</h2>
<ul><li>Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.</li>
<li>System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.</li>
<li>Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.</li>
<li>Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.</li>
<li>Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.</li>
<li>Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.</li>
</ul><h2 class="jobSectionHeader">What You'll Bring to DigitalOcean:</h2>
<ul><li>Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.</li>
<li>AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.</li>
<li>Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.</li>
<li>Hardware &amp; Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.</li>
<li>Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).</li>
<li>Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.</li>
<li>Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.</li>
<li>Open Source Mindset: Experience integrating and building with open-source software.</li>
</ul><h2 class="jobSectionHeader">Compensation Range:</h2>
<ul><li>$167,200.00 - $209,000</li>
</ul>
<ul><li>This is a remote role</li></ul>

JR: 2026-7591

#LI-Remote<div><h2 class="jobSectionHeader">
Why You'll Like Working for DigitalOcean</h2>
<ul><li>We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li>We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li>We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li>We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li>DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</div></div>

Senior Engineer 2: Inference Data Plane

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help. 
 
The Data Center Availability team works with the hundreds of AWS data centers around the globe to deliver the highest quality and lowest cost physical security, availability, capacity, and scaling results for our customers. Our aim is to standardize operations globally by delivering tools, policy, processes and procedures to our internal teams. The Availability tech team is seeking a System Engineer to design, develop, and implement software tools that streamline operations by automating tedious manual processes. 
 
Key job responsibilities 
As a System Engineer, you will: 
<ul><li>Design software tools using advanced automation methods such as Agentic AI</li><li>Work with business stakeholders to understand the opportunities to automate the manual work and streamline the process</li><li>Develop and maintain software pipelines using best practices for smooth production code release.</li><li>Suggest and implement best practices for coding, design and operational excellence.</li><li>Mentor engineers and develop them</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>4+ years of building scripts, tooling, and automation for large-scale computing environments experience</li><li>Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience</li><li>Experience with service-oriented architecture and web services</li><li>Experience maintaining the resilience and reliability of services by troubleshooting deployment failures, creating infrastructure as code, creating resources (alarms, metrics, IAM role credentials), infrastructure provisioning and patching hosts</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and security</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 104,500.00 - 160,000.00 USD annually</div>

Systems Automation Engineer, Data Center Availability Team

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: 
Health, dental, vision, life, disability insurance 
Retirement Benefits: 401(k) with company match 
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment 
Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) 
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks 
Baby Bonding Leave: 18 weeks 
Holidays: 13 paid days per year<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>2 years of experience with full stack development, across back-end such as Python, Java or Kotlin.</li>
<li>Experience establishing and implementing data governance frameworks, policies, and standards.</li>
<li>Experience designing and implementing data management strategies and solutions for large-scale datasets.</li>
<li>Experience building and deploying SQL data pipelines.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.</li>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience with building machine learning models, data pipelines, and feature engineering.</li>
<li>Experience with Google Cloud Platform or other similar cloud technologies.</li>
<li>Experience developing accessible technologies.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Software Engineer, you will join our team and focus on the data infrastructure supporting our business efforts. You will be responsible for the design, development, and expanding of data pipelines and tooling. Your work will directly contribute to identifying and surfacing key customer insights from product data to help drive business outcomes. You will use your experience with data systems, and work cross-functionally with Engineering, UX, Product Management, Data Analysts, and Go-to-Market teams.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. 

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li><div>Write product or system development code.</div></li>
<li>Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. 
</li>
<li>Develop and manage data pipelines to ingest and process datasets (including product data, marketplace API data) to feed into our ML models.</li>
<li>Provide technical guidance and mentorship to other engineers on the team, fostering best practices in data governance and engineering.</li>
<li>Work closely with Software Engineers, Product Managers, UX Designers, Data Analysts, and Go-to-Market partners (Sales/Marketing) to define requirements, develop solutions, and operationalize models.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer, Data Center Infrastructure Management

Apple

<div>The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple&rsquo;s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. 
 
These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. 
 
Thanks to Apple&rsquo;s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple&rsquo;s privacy policy, one of Apple&rsquo;s core values. Although services are a bigger part of Apple&rsquo;s business than ever before, these teams remain small, nimble, and cross-functional, offering greater exposure to the array of opportunities here. 
 
We&rsquo;re looking for an engineer to join the team working on defining the future of our privacy-first instrumentation capabilities. You will work at the intersection of product management and engineering with a number of cross-functional stakeholders to answer two main questions: What data should we collect for our products and services and how will we get that data from client devices while preserving privacy? 
 
Description 
 
You&rsquo;ll be tasked with designing, launching, and supporting new data infrastructure products as vital to answer high-level analytics questions at scale. 
 
Your responsibilities will include all aspects of software development management, from brainstorming, design and analysis to development, implementation and maintenance. Additionally, you'll be tasked with defining the strategy for new data infrastructure products as necessary to answer high-level analytics questions at scale. Finally, you will create and maintain instrumentation specifications for all new features, detailing the fields, values and when the data is collected and when for all new features released across ASE products and services. 
 
To accomplish all this, you&rsquo;ll collaborate with a wide range of collaborators including product managers, client and server engineering, data scientists/business analysts, privacy engineers and attorneys, QA, and more. 
 
You will: 
 
<ul><li>Design and implement innovative Privacy-preserving systems to be used across ASE products and services</li></ul> 
<ul><li>Design and develop frameworks and tools to collect analytics data from our products and services on all platforms, including iOS, iPadOS, macOS, tvOS, watchOS, visionOS, web browsers, and third party platforms.</li></ul> 
<ul><li>Own the end-to-end product lifecycle for client instrumentation capabilities, creating detailed specifications that provide clear guidance to engineering, data science, and QA stakeholders</li></ul> 
<ul><li>Manage the end-to-end design, launch, and support of new data infrastructure as needed to address sophisticated analytics needs, including technical system design and implementation</li></ul> 
<ul><li>Advise business and engineering team members by serving as a data collection subject-matter-expert who understands how analytics-related asks will impact numerous server and client engineering systems</li></ul> 
<ul><li>Lead discussions with privacy and legal teams to ensure that both Apple&rsquo;s analytics needs are met and consumer privacy is protected</li></ul> 
The people here at Apple don&rsquo;t just create products they create the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
&quot;,&quot;responsibilities&quot;:&quot;You'll design, launch, and support new data infrastructure products crucial for answering high-level analytics questions at scale. 
 
Your responsibilities will include all aspects of software development, from brainstorming, design and analysis to implementation and maintenance. Additionally, you'll be tasked with defining the strategy for new data infrastructure products as necessary to answer high-level analytics questions at scale. Finally, you will be expected to create and maintain instrumentation specifications documents that specify what fields and values are collected and when new features released across ASE products and services. 
 
To accomplish all this, you&rsquo;ll collaborate with a wide range of partners including product managers, client and server engineering, data scientists/business analysts, privacy engineers, attorneys, QA, and more. 
 
You will: 
 
Design, and implement innovative Privacy-preserving systems to be used across ASE products and services 
 
Design and develop frameworks and tools to collect analytics data from our products and services on all platforms, including iOS, iPadOS, macOS, tvOS, watchOS, visionOS, web browsers, and third party platforms. 
 
Own the end-to-end product lifecycle for client instrumentation capabilities, creating detailed specifications that provide clear guidance to engineering, data science, and QA stakeholders 
 
Manage the end-to-end design, launch, and support of new data infrastructure as needed to address complex analytics needs, including technical system design and implementation 
 
Advise business and engineering stakeholders by serving as a data collection subject-matter-expert who understands how analytics-related asks will impact numerous server and client engineering systems 
 
Lead discussions with privacy and legal teams to ensure that both Apple&rsquo;s analytics needs are met and consumer privacy is protected 
 
Preferred Qualifications 
 
Ability to assist in the creation and enforcement of privacy and compliance policies and guidelines across ASE and Apple 
 
Industry experience in Privacy-Enhancing Technologies for large-scale distributed systems 
 
Experience with differential privacy, private data-synchronization across systems and devices, data minimization, tokenization, cryptography 
 
Minimum Qualifications 
 
5+ years of experience working as a software engineer, technical product manager, or engineering focused management consultant 
 
Strong software design skills, coupled with a deep knowledge of data structures and algorithms 
 
Comfort working with large, cross-functional teams spread across multiple locations 
 
Strong communication and collaboration skills: The ability to translate ambiguous high-level analytics questions into concrete engineering asks 
 
Strong prioritization skills with the ability to manage multiple programs simultaneously with overlapping deadlines 
 
5+ years of professional experience with some or all of the following: data or analytics systems, frameworks or toolkits, Swift, Objective-C, JavaScript, C/C++, Java, TypeScript, React, Angular, Ember, Vue 
 
BS or MS in Computer Science or equivalent industry experience 
 
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 . 
 
Pay &amp; Benefits 
 
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. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Software Engineer - Analytics and Data Privacy

Are you passionate about Generative AI and excited to work on groundbreaking modeling technologies that will enrich the lives of billions? The Intelligence System Experience (ISE) team within Apple&rsquo;s software organization is a multidisciplinary group operating at the intersection of Multimodal Foundation Models, Efficient and Scalable ML Infrastructure, and Personalized Intelligent Experiences. As a senior machine learning engineer on our team, you will design software systems and algorithms that enable performant, scalable training and inference for Apple&rsquo;s AI-driven experiences across both on-device and server environments. This role also includes opportunities to open source your work. Join our team of highly skilled, impact-focused engineers! 
 
Description 
 
We&rsquo;re seeking strong senior machine learning engineers to help build next-generation tools for large-scale deep learning. You&rsquo;ll join a team focused on accelerating training and inference speed, improving scalability, and advancing Apple&rsquo;s centralized ML platform. Candidates should bring polished coding skills and a passion for machine learning and computational science. We offer a respectful work environment, flexible responsibilities, and access to world-class experts and growth opportunities. 
 
In this role, you will develop core components for our scalable ML platform, push the limits of existing training technologies, and create new techniques to overcome system constraints. Your work will be deployed on high-impact tasks across teams building Apple Intelligence products, with opportunities to open-source your contributions. We are especially looking for a PyTorch-focused ML efficiency expert to optimize training and inference performance, improve distributed training throughput, and drive system-level efficiency for large-scale models. If you have deep experience with PyTorch internals and high-performance ML infrastructure, we&rsquo;d love to hear from you. 
 
Preferred Qualifications 
 
Experience developing model parallel and data parallel training solutions and other training optimizations 
 
Experience with parallel training libraries such as torch.distributed, DeepSpeed, or FairScale 
 
Experience with CUDA-level optimization 
 
Experience building ML models targeting Apple Silicon 
 
Experience building large-scale deep learning infrastructure or platforms for distributed model training 
 
Publication record at Machine Learning conferences such as MLSys, NeurIPS, etc. 
 
Minimum Qualifications 
 
PhD or Master's degree in the area of Computer Science, or equivalent years of industry experience 
 
3+ years working with AI/ML technologies in production or research settings 
 
Strong Python programming skills 
 
Understanding software design principles, and algorithms 
 
Experience with deep learning frameworks, such as PyTorch 
 
Experience building large-scale distributed systems 
 
Familiarity with parallelization algorithms for large model training 
 
Familiarity with recent developments in foundation model architectures 
 
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 . 
 
Pay &amp; Benefits 
 
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. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Machine Learning Efficiency Engineer - SIML, ISE

The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on a massive scale, meeting Apple&rsquo;s high expectations with high performance, to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. Our scientists and engineers build secure, end-to-end solutions powered by machine learning. 
 
Thanks to Apple&rsquo;s unique integration of hardware, software, and services, designers, scientists and engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple&rsquo;s privacy policy, one of Apple&rsquo;s core values. Although services are a bigger part of Apple&rsquo;s business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here. 
 
Come join us to build large-scale personalized recommender systems for Apps &amp; Games, Video, Fitness+, Podcast and Books Recommendations. See your work touch the lives of billions of Apple users worldwide. 
 
Description 
 
In this role, you will be responsible for operationalizing machine learning models-from building real-time and batch inference pipelines to optimizing system performance, reliability, and experimentation velocity. You&rsquo;ll help bridge the gap between research and production by developing the infrastructure, tooling, and monitoring required to ship ML-driven features safely and efficiently. 
 
If you are an engineer who enjoys scaling ML solutions, building production-grade services, and driving experimentation across billions of users, this is your opportunity to make a meaningful impact.&quot;,&quot;responsibilities&quot;:&quot;Partner with ML researchers and product teams to transition models into production, ensuring reliability, scalability, and low latency. 
 
Design and implement robust inference services using object-oriented languages (e.g., Java, Scala, C++) that operate at scale across Apple platforms. 
 
Build and manage data pipelines and model execution frameworks to support both batch and streaming use cases. 
 
Develop tooling and infrastructure for model deployment, versioning, rollback, and online evaluation. 
 
Lead A/B testing efforts, including integration, metric tracking, experiment validation, and performance analysis. 
 
Collaborate with infrastructure teams to improve observability, alerting, and model health monitoring. 
 
Drive continuous improvement in latency, throughput, fault tolerance, and overall system reliability. 
 
Preferred Qualifications 
 
Experience in batch and real-time inference serving, including autoscaling and traffic management. 
 
Background in content recommendation systems, search ranking, or user engagement optimization. 
 
Experience with CI/CD workflows for ML systems, including safe model rollouts and shadow testing. 
 
Exposure to containerized deployments and orchestration (Kubernetes, Docker). 
 
Experience building and deploying production-grade applications using LLMs, including expertise in prompt engineering, RAG pipelines, and framework orchestration. 
 
Proven track record of developing autonomous agents capable of multi-step reasoning, external tool integration, and complex task decomposition to solve open-ended problems. 
 
Prior experience working on consumer-scale media products (apps, games, books, music, or video). 
 
Minimum Qualifications 
 
MS or PhD in Computer Science, Software Engineering, or related field. 
 
8+ years of deep software engineering experience, with a strong background in building and deploying production machine learning systems. Experience in areas such as personalization, search, or recommendations is a plus. 
 
Experience with big data and stream processing frameworks like Spark, Flink, or Kafka. 
 
Proficiency in object-oriented programming languages such as Java, Scala, or C++. 
 
Experience building and maintaining large-scale distributed systems for ML workloads. 
 
Deep understanding of ML model deployment pipelines, runtime optimization, and system integration. 
 
Familiarity with A/B testing frameworks, experimental design, and online evaluation. 
 
Strong focus on system reliability, latency, and observability in production environments. 
 
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 . 
 
Pay &amp; Benefits 
 
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. 
 
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. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Sr. Machine Learning Engineer - Recommendations & Personalization (Feature Engineering)

Explore 148+ Infrastructure engineer in Seattle this March. Find roles across top companies and apply now to boost your career.