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Cross-Functional Partnership: Collaborate with ML researchers, software developers, and product managers across Apple to translate product requirements into scalable, reliable, and efficient model evaluation infrastructure.5+ years of relevant industry experience in ML Engineering or Applied Research. Lead Rigorous Model Evaluations: Architect and execute comprehensive evaluation suites for LLMs and multimodal models, identifying edge cases in multi-step reasoning, factuality, adversarial robustness, safety, and alignment.

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<h3 style="color: #ffffff; font-size: 16px; font-weight: normal;">We bring amazing people together to make amazing things happen.</h3>
<p>We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.</p>
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<h3 style="color: #666666; font-weight: 500;">About Apple</h3>
<p>There’s a place here for every kind of brilliant.
Everyone here is an innovator, or an innovator-to-be, no matter what your team or your role. So bring your passion, courage, and original thinking and get ready to share it, because every new product, service, or feature we invent is the result of people working together to make each others’ ideas stronger. Innovation at this level depends on people who represent the variety of the human experience and inspire us with their own fresh perspectives. Together, we’ll do amazing work that can make a difference in people’s lives. Including your own.

<a href="https://www.apple.com/jobs/us">Learn more about working at Apple.</a>
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Apple Inc

Machine Learning Engineer, Human Centered AI - Evaluations & Insights

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Write high-quality code, learn quickly in a fast-moving field, and grow your impact as you take on larger pieces of the system.2+ years of industry experience building and shipping production software and/or machine learning systems. Our infrastructure powers intelligent experiences across products people use every day - Search, Music, TV, the App Store, Messages, Photos, Spotlight, Safari, Siri, and more - serving millions of queries at incredibly low latency while drawing every ounce of performance from our hardware.

Machine Learning Engineer, Foundation Model Services

5+ years of experience in software development project management for Site Reliability Engineering / DevOps / Infrastructure domains Exceptional organizational, project management, and technical savvy Experience leading large scale Infrastructure programs with focus on Cloud environments Experience with Kubernetes is a big plus Agile project experience with evidence and able to demonstrate knowledge SCRUM background and/or played the role of a Scrum Master is plus Experience at prioritizing features, leading & presenting technical roadmaps and identifying & communicating risks early A history of leadership, decision making, negotiation skills, and ability to influence partners without direct authority. Self-motivated and proactive with proven creative and critical thinking capabilities Strong analytical, troubleshooting, and problem-solving skills Strong verbal and written communication skills to represent at all levels of the organization Ability to handle multiple simultaneous end-to-end infrastructure, technical projects and partner community comprising of various engineering teams and their partners Experience at end-to-end project delivery; building roadmaps through to operational sustainability Strong facilitation skills (requirements sessions, design meetings, progress and status meetings).

SRE Engineering Program Manager: iCloud (ASE)

Manage a team of Automation engineers dedicated to ensuring high-quality releases of Apple Music Analytics Data from Client to Server Oversee all Quality Assurance processes, including test planning, estimation, execution, and automation to guarantee timely delivery on our commitments Perform technical analysis and functional qualification of new analytics features integration on various client platforms and backend pipelines Create and execute test plans, test cases, and test strategy for data validation and comparisons, and testing of client instrumentation and downstream data aggregates and reports Design and develop new internal tools and testing frameworks, and maintain existing automation to guarantees reliable end-to-end automation coverage Provide timely and accurate QA status and progress updates during all testing phases Act as a strong advocate for quality in the software development process Computer Science degree or equivalent relevant experience In-depth knowledge and experience in one or more of the following technologies: Python, SQL, Swift, XCTest/XCUI, Java Knowledge and experience with Spark, Hadoop, Kafka or other distributed systems a big plus Experience leading or strong demonstrated readiness to lead a QA team Experience managing or coordinating projects and processes cross-functionally Comfortable working in a continually changing and dynamic environment and driving top issues to resolution Self-motivated and must be able to grasp issues quickly and make educated, critical decisions in the absence of complete requirements Excellent verbal and written communication Strong leadership capabilities and experience in mentoring and developing team members are essential Expertise in test automation architecture, test planning, execution, and triage across multiple platforms Strong presentation skills, capable of distilling complex analyses and concepts into concise, business-focused insights. In this role, you will support the Music Analytics vertical, leading a local team of Quality Engineers dedicated to testing and automating client metrics instrumentation, as well as overseeing quality and integrity of data ingestion, processing, aggregation pipelines, reports, and dashboards for both internal and external customers.

Analytics QA Manager

Project manage and partner with other EPMs to coordinate the data engineering track for creating and enhancing data pipelines that support the Analytics Engineering space for Subscriptions within Apple's Commerce business area Track multiple concurrent projects involving scope, requirements, timelines, roadmaps, project plans, resource allocation, stakeholder management, communications, engineering sprint coordination, and risk assessments Collaborate with Engineering, Analytics, Production Support, QA, Information Security, Privacy, and other teams to build and manage products to support Apple Services Engineering data pipelines Drive complex, cross-functional, and comprehensive project plans independently Deliver high-quality results while working in a dynamic and fast-paced environment Demonstrate exceptional verbal and written communication, including presentation skills to all levels of the organization6+ years of project management experience, specifically within a large-scale data engineering or analytics environment Project Management: Strong familiarity with Agile methodologies, Proven success driving cross-functional programs across engineering and other teams within a fast-paced environment, Excellent communication, risk management, and stakeholder-alignment skills, Comfortable diving deep to understand processes, systems, and policies to ensure high-quality solutions Technical Skillset: Familiarity with big data technologies and modern data engineering concepts BS in Information Systems, Data Science, Computer Science, Business, or Engineering majors preferred or relevant and equivalent industry experience including Data analytics experience with business acumen and data comprehension Program management in big data engineering Conceptual understanding of big data engineering and data analytics Data and analytics project management experience Experience with commerce, subscriptions, and/or customer lifecycle data ecosystems Leadership and gravitas to drive conversations with analytics stakeholders Ability to deliver high-quality results while working in a dynamic and fast-paced environment Process-oriented and detail-oriented approach Understanding of agile project management methodologies Strong facilitation skills to drive a complex, cross-functional, and comprehensive project plan independently Exceptional verbal and written communication, including presentation skills to all levels of an organization Aptitude and willingness to learn along with proactive attitude and energy. You'll collaborate with small, highly skilled data engineering teams and partner groups to develop large-scale data capabilities and solutions to support Apple Services Engineering feature initiatives and deliver high-quality datasets and analytical outcomes.

Engineering Program Manager, Analytics Data Engineering, Commerce & Billings, Apple Services Engineering

Define and drive technical strategy and roadmap for Live Sports and Media analytics Provide technical leadership and guidance to the engineering team Collaborate with cross-functional teams to define requirements Architect and deliver highly scalable near real-time analytics systems Partner with peers, quality engineering, SRE to deliver and operate high quality data solutions Constantly measure and improve data quality, system reliability, performance and efficiency Mentoring and developing engineering talent and their growth Represent team vision and roadmap to senior leadership and lead through ambiguity Foster innovation first inclusive engineering culture with strong accountability BS, MS, or PhD in Computer Science, Engineering, or equivalent experience 10+ years of software engineering experience, including 5+ years of leading engineering teams Strong understanding of data engineering principles and best practices Hands-on experience in architecting and delivering large-scale data engineering applications Excellent communication, collaboration, and interpersonal skills, especially in cross-functional settingsPassion for mentoring and developing engineering talent Experience in leading teams through large, open-ended projects with ambiguous requirements Experience in delivering AIML and GenAI engineering projects at scale Experience in building scalable stream analytics systems with one or more of Flink, Spark, Kafka, Iceberg, StarRocks Experience in computer vision, video and audio stream processing with Open CV, VLM, Object Detection and Speech to Text. We are looking for an experienced Software Engineering Manager to lead our Live Sports and Media Analytics team - dedicated for building highly scalable, near real-time systems that process live sports data, video, and audio streams.

Senior Engineering Manager, Live Sports and Media Analytics

D. in Computer Science or related subject area Proven ability to build & scale Search & Conversational systems, applying 7+ years of hand-on experience across the full product stack - including query understanding, semantic retrieval, multi-stage ranking, indexing, intent classification, and context-aware generation. The ASE Search team is a vital part of Apple ecosystem, powering search for App Store, Apple Music, Apple TV, Podcasts, Books, iTunes and more, on a wide set of platforms such as iOS, macOS, tvOS, watchOS, Safari, and 3rd party devices.

Staff Machine Learning Research Engineer, App Store Search

Located in Redmond, Washington, DigiPen Institute of Technology is a private college that offers undergraduate degree programs in Computer Science, Game Design, Digital Audio and Music, and Digital Art and Animation, as well as Master’s degree programs in Computer Science and Digital Art. This is an exceptional opportunity to mentor aspiring game developers & current practitioners, share your industry expertise, and deliver a cutting-edge curriculum that combines creativity and technical excellence to produce the next generation of game development professionals.

Music Jobs in Edmonds, WA

Machine Learning Engineer, Human Centered AI - Evaluations & Insights Apple Inc

Machine Learning Engineer, Foundation Model Services Apple Inc

SRE Engineering Program Manager: iCloud (ASE) Apple Inc

Analytics QA Manager Apple Inc

Engineering Program Manager, Analytics Data Engineering, Commerce & Billings, Apple Services Engineering Apple Inc

Senior Engineering Manager, Live Sports and Media Analytics Apple Inc

Staff Machine Learning Research Engineer, App Store Search Apple Inc

Course Instructor Position – Online Master's Degree in Game Development DigiPen All Jobs

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