operations engineer, operations engineering

ai engineer - agent

iam architect

manager engineering operations Jobs in Seattle

manager engineering operations

operations engineer, operations engineering Jobs in Seattle

software engineer

ai engineer agent

Zoom Communications

<div><div><ul><li>Seattle, Washington, United States
</li></ul></div><div><ul><li>Full time</li></ul></div></div>
<br><div><p><b>What you can expect</b></p><p>
As an AI Engineer, - Agent, you will develop intelligent systems capable of reasoning, planning, and executing complex workflows. You will design agentic systems that manage intricate tasks, perform multi-step actions, and ensure safe interactions with tools and data. This role integrates LLM intelligence with system engineering, and your contributions will directly shape the evolution of Zoom AI Companion into a more dependable and advanced assistant.</p><p></p><p><b>
About the team</b></p><p>
You will join a highly collaborative engineering organisation focused on building next-generation AI-powered experiences. The team works across machine learning, distributed systems, and product engineering to deliver scalable, reliable, and intelligent solutions. With a focus on innovation and real-world impact, the team is shaping how AI enhances communication and productivity at Zoom.</p><p></p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li><p>
Designing agentic systems that manage complex, multi-step tasks and autonomous decision-making workflows</p></li>
<li><p>
Building scalable, production-grade AI systems that integrate LLM intelligence with robust backend infrastructure</p></li>
<li><p>
Ensuring safe and reliable interactions between AI agents and external tools and data sources</p></li>
<li><p>
Leading the architecture and development of agent memory, personalisation, and quality evaluation systems</p></li>
<li><p>
Driving performance optimisation across distributed systems to balance quality and latency at scale</p></li>
<li><p>
Collaborating across engineering, research, and product teams to deliver AI features used by millions of users</p></li>
<li><p>
Incorporating new AI developments rapidly to keep Zoom AI Companion at the forefront of the market</p></li>
</ul><p></p><p><b>
What we&rsquo;re looking for</b></p><ul>
<li><p>
Have 8+ years of experience in AI/ML engineering, backend/distributed systems engineering</p></li>
<li><p>
Have a proven track record building scalable, production-grade AI or agent-based systems at staff level</p></li>
<li><p>
Demonstrate strong programming skills in one or more of: Python, TypeScript, Go, Java, C++, or Rust</p></li>
<li><p>
Have experience with cloud platforms such as AWS, GCP, or Azure</p></li>
<li><p>
Have hands-on experience with Kubernetes, containers, and CI/CD pipelines</p></li>
<li><p>
Demonstrate a deep understanding of software architecture, observability, and performance optimisation</p></li>
<li><p>
Hold a qualification in Computer Science, Artificial Intelligence, Machine Learning, or a related field</p></li>
</ul><p></p><p><b>
Preferred:</b></p><p></p><ul>
<li><p>
Have experience building or evaluating AI agents and agentic workflows, and familiarity with modern agent frameworks</p></li>
<li><p>
Demonstrate knowledge of prompt engineering, safety systems, and agent evaluation techniques</p></li>
<li><p>
Have experience with AI development tools such as Claude Code or Codex</p></li>
</ul><p></p><p><b>
Salary Range or On Target Earnings:</b></p><p></p><p>
Minimum:</p>
$177 100,00<p></p><p>
Maximum:</p>
$387 500,00<p></p><p>
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.</p><p></p><p>
Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.</p><p></p><p>
We also have a location based compensation structure; there may be a different range for candidates in this and other locations</p><p>
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Anticipated Position Close Date:</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
05/18/26<p></p><p><b>
Ways of Working</b><br>
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.</p><p></p><p><b>
Benefits</b><br>
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.</p><p></p><p><b>
About Us</b><br>
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.<br>
We&rsquo;re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.</p><p><b><br>
Our Commitment
</b></p><p>At Zoom, we believe great work happens when people feel supported and empowered. We&rsquo;re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know&mdash;we&rsquo;re here to support you at every step.</p><p><br>
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.</p></div><p></p>

AI Engineer - Agent

YO IT Consulting

<div>
 <strong>
  Job Title:
 </strong>
 AI/ML Engineer
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Full-Time
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  </li>
  <li>
   Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  </li>
  <li>
   Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  </li>
  <li>
   Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  </li>
  <li>
   Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  </li>
  <li>
   Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  </li>
  <li>
   Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills And Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  </li>
  <li>
   Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  </li>
  <li>
   Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  </li>
  <li>
   Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  </li>
  <li>
   Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  </li>
  <li>
   Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  </li>
  <li>
   Exceptional written and verbal communication skills for effective collaboration and documentation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  </li>
  <li>
   Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  </li>
  <li>
   Prior exposure to government or highly regulated cloud environments and compliance standards.
  </li>
 </ul>
</div>


AI/ML Engineer - Remote

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:<br>
<ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
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</li><li>
Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul><br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Kirkland, WA, USA; Seattle, WA, USA; Sunnyvale, CA, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>8 years of experience in software development.<br>
</li>
<li>Experience with Large Language Models (LLMs), including hallucinations, faithfulness, and RAG (Retrieval-Augmented Generation) quality.</li>
<li>Experience in C++ and Python and building test automation frameworks for non-deterministic AI systems.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field.</li>
<li>8 years of experience with data structures and algorithms.<br>
</li>
<li>Experience launching and maintaining high-availability consumer-facing AI products.</li>
<li>Familiarity with testing multimodal systems (e.g.,Voice/Audio) and agents that perform actions (tool use).</li>
<li>Understanding retail workflows (catalog, cart, checkout) and customer support nuances to better design user-centric test scenarios.</li>
<li>Excellent problem-solving skills to interpret quality metrics, identify regression patterns, and drive data-informed modeling decisions.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></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 manage information at a 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.
<br>
<br>
In this role, you will join the Shopping Agent team to revolutionize retail with Gemini Enterprise for customer experience. Your mission is to build the operational backbone for modern commerce, embedding intelligence directly into a retailer&rsquo;s infrastructure to strengthen customer relationships. You will launch a rapidly deployable, multimodal shopping agent, a full-stack concierge capable of reasoning, virtual try-on, and seamless business and support. You will leverage Google&rsquo;s foundational AI (Gemini, Vertex AI), and aim to create a flywheel effect where every new agent enhances the entire ecosystem. You will help drive the quality of a product designed to transform brands from invisible warehouses into hyper-personalized, intelligent destinations.Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call-center environments, to fast food ordering managed by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (DeepMind/Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.<div></div><div><br>
The US base salary range for this full-time position is $207,000-$300,000 + 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.</div><div></div><div><br>
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><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design, develop, test, deploy, maintain, and enhance large-scale software solutions.</li>
<li><div><div>Lead the definition and execution of quality metrics for the shopping agent, ensuring response accuracy, safety, and brand alignment across multimodal interactions (text, voice, image).</div></div></li>
<li>Design and implement automated evaluation pipelines and datasets for shopping journeys, including virtual try-on, reasoning, and support queries.</li>
<li><div><div>Collaborate with research and modeling teams to perform quality hill-climbing for foundational models, optimizing prompts and grounding to reduce hallucinations and improve conversion outcomes.</div></div></li>
<li><div><div><div>Develop robust integration tests for agentic actions (e.g., add-to-cart, checkout) and ensure seamless interoperability between the shopping agent and customer service agent platforms.</div></div></div></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>

Staff Software Engineer, Infra, Commerce AI

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The future of software development is autonomous. AWS is building Kiro Autonomous Agent &mdash;a frontier agent that independently tackles development tasks, maintains context across interactions, and continuously learns from its work. This isn't just another AI tool; it's a fundamental shift in how software gets built and maintained.<br>
<br>
We're looking for engineers who want to shape this transformation. You'll work alongside exceptional talent solving novel problems at the intersection of AI and software engineering. The challenges are unique: building systems that operate autonomously, retain context across complex workflows, and improve through experience&mdash;all while meeting AWS's exacting standards for scale, reliability, and security.<br>
<br>
Your impact will be immediate and visible. You'll ship features that directly improve how developers work. Daily collaboration includes code reviews, mentorship in both directions, and rapid skill development. From day one, you'll have opportunities to lead&mdash;whether that's owning projects, defining technical direction, or shaping how the team operates.<br>
<br>
This is your chance to build the agent that builds the future.<br>
<br>
Key job responsibilities<br>
You'll shape the technical direction and architecture of Kiro Autonomous Agent service. Working directly with customers, you'll uncover real-world development challenges and translate them into product capabilities&mdash;staying true to Amazon's customer-obsessed approach. You'll build and operate production systems using industry-leading CI/CD practices, ensuring Kiro Autonomous Agent maintains the reliability and performance our customers depend on.<br>
<br>
Your responsibilities span the full lifecycle: from architectural decisions that define how an autonomous agent learns and maintains context, to hands-on development of features that transform how software gets built. You'll balance innovation with operational excellence, making technical choices that enable Kiro to work independently while meeting AWS's standards for scale and security.<br>
<br>
Your responsibilities span the full lifecycle: from compiler technologies to agent training and steering to scalable deployment. You'll balance innovation with operational excellence, making technical choices that enable Kiro agents to work smoothly for a wide class of developers while meeting AWS's standards for scale and security.<br>
<br>
About the team<br>
Agentic AI<br>
<br>
Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, OR, Portland - 168,100.00 - 227,400.00 USD annually<br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Sr. Software Dev Engineer, Kiro

Apple

<div>At Apple, we don't just build products - we craft experiences that redefine entire ecosystems. The Developer Experience team delivers the essential tools and systems that empower hundreds of engineering teams across Apple to build and deploy services with speed, efficiency, and confidence.<br>
<br>
We're transforming how developers work by weaving intelligent AI capabilities directly into their workflows. We're looking for a technical leader who can build and lead the team making this vision real - someone who lives at the intersection of AI agent development, developer productivity measurement, and engineering excellence.<br>
<br>
<b>Description</b><br>
<br>
The Developer Experience team is seeking an Engineering Manager to lead a team building the next generation of AI-powered developer tooling that hundreds of Apple engineering teams rely on daily. You'll hire, develop, and lead engineers who design and ship intelligent agents that transform the software development lifecycle - from initial development through testing, deployment, and beyond.<br>
<br>
You'll set the technical direction for a portfolio of AI-powered products: coding agents, root cause analysis agents, deployment agents, code review agents, MCP servers, Slack integrations, CLI tools, and APIs that serve both human developers and autonomous systems. Your team will build production-grade AI capabilities, measure their impact through DORA and SPACE metrics, and iterate based on direct user research with engineering teams across Apple.<br>
<br>
You'll set CI/CD policies and standards that balance velocity with safety, working with cross-functional partners to establish guardrails for AI-assisted deployments at scale. Your team's work will make AI capabilities a seamless, integrated part of how developers build services at Apple.<br>
<br>
This role requires both hands-on technical depth in agentic AI systems and proven leadership in building high-performing engineering teams. You'll partner with project managers, peer engineering leaders, and senior stakeholders to align your team's roadmap with organizational priorities while maintaining the autonomy to make bold technical bets.&quot;,&quot;responsibilities&quot;:&quot;- Build, lead, and develop a team of engineers who ship AI-powered developer tools - planning agents, coding agents, testing agents, deployment agents, operations agents, and the APIs and integrations that hundreds of engineering teams depend on daily.<br>
<br>
<ul><li>Define and track DORA metrics (deployment frequency, lead time, change failure rate, MTTR) and SPACE metrics (satisfaction, performance, activity, communication, efficiency) to measure and improve developer productivity across Apple.</li></ul><br>
<ul><li>Set CI/CD policies and standards for AI-assisted development workflows, balancing deployment velocity with safety and compliance requirements.</li></ul><br>
<ul><li>Drive technical strategy for scalable backend services and APIs in Java and Python that support developer efficiency workflows across Apple.</li></ul><br>
<ul><li>Conduct user research with engineering teams to identify pain points, validate solutions, and prioritize the roadmap based on measured developer impact.</li></ul><br>
<ul><li>Evolve platform architectures for reliability, maintainability, and performance at scale, making build-vs-buy decisions and managing technical debt.</li></ul><br>
- Establish engineering excellence standards - code review practices, testing strategies, operational readiness - and foster a culture of quality and continuous improvement.<br>
<br>
<ul><li>Recruit, mentor, and retain top engineering talent with expertise in AI agent development and developer tooling.</li></ul><br>
<b>
Preferred Qualifications</b><br>
<br>
Passion for developer experience and empathy for building tools that empower other engineers.<br>
<br>
Experience with LLM orchestration patterns, prompt engineering, evaluation frameworks, and responsible AI deployment practices.<br>
<br>
Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow) and LLM libraries (e.g., LangChain, Hugging Face, Anthropic SDK).<br>
<br>
Experience with Kubernetes for container orchestration and deployment at scale.<br>
<br>
Experience with messaging systems (e.g., Kafka) and microservices architectures.<br>
<br>
Track record of building teams from scratch or through significant growth phases.<br>
<br>
Experience partnering with product management to define tooling strategy and prioritize competing demands across multiple stakeholder teams.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
1+ years of engineering management experience leading teams building backend systems or developer tools.<br>
<br>
5+ years of hands-on software engineering experience, with strong fundamentals in Java and Python.<br>
<br>
Deep familiarity with AI agent frameworks and patterns - LangChain, Claude Agent SDK, Pydantic AI, or equivalent - with the ability to evaluate architectural tradeoffs and guide implementation decisions.<br>
<br>
Experience defining and using developer productivity metrics (DORA, SPACE, or similar frameworks) to drive measurable improvements.<br>
<br>
Track record of setting CI/CD policies and infrastructure automation standards for engineering organizations.<br>
<br>
Experience with databases (relational and/or NoSQL) and scalable service architectures.<br>
<br>
Excellent communication skills with the ability to influence across organizational boundaries.<br>
<br>
BS, MS, or PhD in Computer Science/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 $188,200 and $325,500, 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.</div>

Engineering Manager, AI Developer Tools

<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>Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of millions of users love every day. As these systems increasingly rely on human-in-the-loop evaluation, the quality of our products is directly constrained by the quality of our evaluation systems. We believe that to build exceptional AI, you need exceptional mechanisms to validate the signals used to train and evaluate them.<br>
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<b>Description</b><br>
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The Human-centered AI, Data Quality Operations team is looking for a Senior Applied Scientist to join our growing team. We are building the systems and methodologies that make AI evaluation trustworthy, and scalable - directly shaping how Apple develops and validates AI across products and services. In this role, you will develop novel, scalable quality control solutions, working closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance.<br>
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Your work will span two connected problem spaces. The first is the methodology and tooling that generates reliable ground truth and detects quality failures across human annotation and automated evaluation pipelines. The second is the autonomous QA agents that make those methodologies generalizable across teams and use cases. This role demands fluency across research thinking and engineering execution - you will prototype, validate, and ship. A strong point of view on when not to use a model or agent is as valued here as the ability to build one.<br>
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&quot;,&quot;responsibilities&quot;:&quot;Design and implement scalable ground truth generation pipelines across varied task types, annotation modalities, and cold start conditions<br>
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Build and maintain calibration frameworks that keep LLM evaluators anchored to human judgment over time<br>
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Develop anomaly detection systems that surface evaluator drift, distribution shifts, and coverage gaps across human annotation and automated evaluation pipelines<br>
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Design, build, and deploy autonomous QA agents targeting specific facets of evaluation quality, architected for generalizability and self-service adoption across teams<br>
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Partner closely with cross-functional teams to ensure evaluation systems meet the highest standards of accuracy, consistency, and relevance<br>
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Communicate findings and recommendations clearly to both technical and non-technical stakeholders, including senior leadership<br>
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Contribute to a culture of technical excellence by sharing knowledge and best practices across the team<br>
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<b>Preferred Qualifications</b><br>
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PhD in Computer Science, Machine Learning, Statistics, or a related field<br>
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Experience designing agent architectures that are configurable and extensible by practitioners who did not build them<br>
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Hands-on experience building anomaly detection systems for evaluation quality, including drift detection, distribution analysis, and systematic bias identification<br>
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Strong communication skills with the ability to influence technical direction across cross-functional teams<br>
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Demonstrated passion for leveraging AI to improve work efficiency and scale<br>
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<b>Minimum Qualifications</b><br>
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5+ years of industry experience in applied science or machine learning with demonstrated impact on shipped systems<br>
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Strong hands-on experience with Large Language Models including prompt engineering and applied use cases such as grading, validation, or classification<br>
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Strong working knowledge of evaluation methodology for generative AI, including LLM-as-a-judge design, meta-evaluation, and failure mode analysis<br>
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Familiarity with human-in-the-loop evaluation systems and the operational dynamics that affect data quality at scale<br>
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Hands-on experience designing ground truth generation pipelines across varied task types and annotation modalities<br>
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Proficiency in Python and relevant ML frameworks, with production experience building, deploying, and monitoring LLM-based pipelines and agents<br>
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MS or PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience<br>
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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>
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<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 Applied Scientist - AI Evaluation & Quality Systems

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