administrative assistant - beats, home, accessory, and ecosystem

data engineer

audio engineer

Apple

Worldwide Events and Experiences brings the best of Apple to life, showcasing our products, services and the values that drive our company. From global product launches and tailored creator experiences to impactful partner engagements and inspiring internal events, this team is charged with managing the end-to-end planning, production, in person experiences and all the unique details that make these events special. The team includes professionals with backgrounds in event design, management, operations, broadcast, and production. We&rsquo;re looking for inventive and collaborative people from a variety of creative fields. If that&rsquo;s you, then your next home may be here! 
 
The Audio Engineer is a hands on technical leadership role responsible for delivering premium live and broadcast audio experiences for Apple&rsquo;s Worldwide Events. This role owns the operation, maintenance, and evolution of our audio systems, ensuring clarity, reliability, and aesthetic excellence across technical rehearsals, live events, and broadcasts located at Steve Jobs Theater, various Apple facilities and remote locations. 
 
Description 
 
Working in close partnership with the Technical Team and cross functional internal teams, the Audio Engineer sets and maintains the highest production standards while leading audio crews and vendor partners. Success in this role requires deep technical expertise, meticulous preparation, and calm execution in executive-facing environments with zero margin for error.&quot;,&quot;responsibilities&quot;:&quot;Own the design, configuration, operation, and long term health of all Steve Jobs Theater (SJT) audio systems. 
 
Lead setup and maintenance of PA, immersive audio Dolby ATMOS, monitoring, RF, intercom, playback, and recording systems. 
 
Operate and support digital mixing platforms including SSL Live, Avid S6L, DiGiCo, and Yamaha. 
 
Design, deploy, and manage Dante-based audio networks, including redundancy, time code, QoS, and monitoring. 
 
Maintain and operate theater and remote production sound systems. 
 
Support immersive and spatial audio workflows, ensuring accurate translation and audience experience. 
 
Ensure systems are aligned, tuned, documented, with signal flow diagrams, and production ready for rehearsals, executive QCs, and live events. 
 
Lead hands on audio operation for all SJT events and select external or remote productions as required. 
 
Mix and supervise live audio for executive presentations, product launches, comms meetings and broadcast productions. 
 
Monitor audio quality in real time, ensuring intelligibility, tonal balance, latency control, and broadcast readiness. 
 
Troubleshoot and resolve audio issues quickly and calmly during rehearsals, and live events. 
 
Ensure seamless integration between in venue audio systems, broadcast audio paths, intercom, and show control. 
 
Collaborate closely with Transmission, Video Engineering, Production teams, and cross-functional partners. 
 
Support special events, remote video shoots, and studio style productions 
 
Record, edit, and master audio content as needed. 
 
Coordinate rental, specification, and deployment of supplemental audio systems. 
 
Create equipment budgets, forecasts, and technical recommendations. 
 
This role requires up to 30% travel, including both domestic and international travel, based on project needs. 
 
Schedule varies based on the dynamic production calendar. 
 
Flexibility is required; this role may exceed 40 hours per week during peak production periods. 
 
Preferred Qualifications 
 
Experience with immersive and spatial audio systems. 
 
Strong understanding of audio networking, including Dante, redundancy, and system design. 
 
Advanced experience with SSL Live consoles and large-format digital mixing environments. 
 
Commitment to safe work practices and high production standards. 
 
Contribute to continuous improvement of workflows, systems, and best practices. 
 
Minimum Qualifications 
 
7+ years of proven experience supporting large-scale productions, touring, or medium to large size performance theaters or amphitheaters. 
 
Demonstrated expertise in theatrical, concert, and event audio mixing. 
 
Deep knowledge of professional audio systems, signal flow, and system integration, Audio networking: Dante, AES67, AVB. 
 
Strong understanding of acoustics and audio device selection and placement. 
 
Experience working directly with executives, presenters, talent, designers, and stagehands. 
 
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 $146,800 and $221,200, 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.

Audio Engineer

Are you excited about Generative AI and Large Language Models? Do you want to work on cutting-edge generative technologies that power intelligent, natural interactions for billions of users? Join the SWE Speech team at Apple. 
 
Our team develops state-of-the-art machine learning technologies for speech understanding, speech generation, and speech-to-speech interaction. We build scalable infrastructure, high-quality datasets, and advanced models that power Siri, Dictation, and speech-enabled Apple Intelligence features across natural language understanding, dialog generation, speech recognition, and multimodal interaction. 
 
We are looking for an exceptional Senior Machine Learning Engineer with deep experience in designing and developing large-scale ML systems and multimodal LLMs, with a focus on conversational AI across language and audio. In this role, you will advance the latest ML techniques and translate them into production systems that shape the Siri experience for millions of users worldwide. 
 
Description 
 
We are seeking a candidate with a strong background in applied ML research and development, particularly in multimodal LLM, natural language processing/generation, speech generation/understanding, to join our cross-functional team focused on advancing capabilities in systems like Siri. We are looking for applied ML researchers who can develop end-to-end solutions from data scaling to necessary model implementation and training while collaborating with other engineering teams to bring research to production. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. To succeed in this role, you should be a strong researcher and engineer, an excellent programmer, and a creative problem solver who enjoys learning new techniques, improving systems, and taking ownership of complex problems. You should also thrive as a team player in a fast-paced environment.&quot;,&quot;responsibilities&quot;:&quot;Develop and build multilingual, multimodal LLMs to improve speech and conversational experiences for Apple customers worldwide. 
 
Advance the state of the art in natural language processing, speech and audio modeling. 
 
Design and build robust speech-centric LLM systems that enable next-generation conversational assistant features across Apple platforms. 
 
Collaborate closely with cross-functional partners in research, engineering, design, and production to deliver scalable, high-quality ML products. 
 
Stay current with emerging research and industry trends, and help define the future direction of AI-powered Siri experiences 
 
Preferred Qualifications 
 
Experience in reinforcement learning 
 
Experience with Speech LLMs or other Multimodal LLMs 
 
Experience with building &amp; deploying AI agents and LLMs 
 
Experience with large scale machine learning training/evaluation 
 
Data-centric vision and hands-on experience in developing and scaling foundation models 
 
Minimum Qualifications 
 
M.S. or PhD in Electrical Engineering, Computer Science or related fields 
 
5-7+ years experience in Machine Learning 
 
Experience in developing, training/tuning large generative models or LLMs 
 
Experience with machine learning frameworks such as JAX and/or PyTorch 
 
Proficient programming skills in Python 
 
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 $181,100 and $318,400, 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, Siri Speech

Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! 
 
As part of Apple's AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation. The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges. 
 
Description 
 
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems. The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem. 
 
You will work with a multidisciplinary team to actively participate in Apple Intelligence&rsquo;s data-model co-design and co-develop practice. Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple. You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models. 
 
Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. 
 
Your work may span a variety of directions, including but not limited to: 
 
Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data. 
 
Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets. 
 
Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models. 
 
Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data. 
 
Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments. 
 
Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering. 
 
Preferred Qualifications 
 
3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality. 
 
Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, , etc) 
 
Strong problem-solving and communication skills. 
 
Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas 
 
Minimum Qualifications 
 
Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning. 
 
Deep understanding in multi-modal foundation models. 
 
Staying on top of emerging trends in generative AI and multi-modal LLM. 
 
Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. 
 
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 $147,400 and $272,100, 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.

AIML - Machine Learning Engineer, Data and ML Innovation

At Apple, new ideas quickly transform into products, services, and customer experiences that delight millions. This innovation is fueled by cutting-edge hardware developed within the Hardware Engineering Group. As a vital part of this organization, the System RF group designs and characterizes wireless systems across Apple&rsquo;s flagship products-including iPhone, Watch, iPad, Mac, and Audio-ensuring world-class performance from prototype to production. 
 
Within this organization, the Smart Data Ecosystem team empowers product evolution by building AI/ML-powered analytics that unlock critical insights from complex wireless manufacturing and design data. The team is currently seeking a SW Development Engineer who can build and deploy scalable, end-to-end software tools and systems in distributed cloud environments. 
 
Join a team operating at the intersection of hardware, data, and AI-architecting intelligent software tools that solve complex system optimization problems where you can directly influence the performance of Apple products used worldwide! 
 
Description 
 
This role focuses on building high-quality software systems that support and scale critical engineering workflows in a fast-paced, startup-like environment. As a Software Development Engineer, you will contribute to the design and implementation of full-stack applications, working across front-end interfaces, backend services, and cloud-based infrastructure. You will collaborate closely with senior engineers to translate evolving requirements into well-structured, maintainable code, applying strong software fundamentals to ensure correctness, performance, and reliability. You possess strong debugging skills across the stack, with the ability to use logs, metrics, and systematic problem-solving to diagnose and resolve development and production issues. You write automated tests and ensure code quality through thorough testing and code reviews, while applying performance best practices to deliver scalable, efficient software. Through hands-on development, testing, and debugging, you will help deliver software that is resilient, scalable, and ready for rapid iteration.&quot;,&quot;responsibilities&quot;:&quot;Build Full-Stack Systems: Design, implement, and maintain end-to-end applications spanning front-end interfaces, backend services, and APIs in distributed cloud environments. 
 
Deliver Scalable, Production-Ready Software: Develop reliable, performant services, applying performance best practices to ensure efficient, high-volume workflows. 
 
Apply Software Fundamentals and Testing: Write clean, maintainable, well-tested code and participate in code reviews to ensure high-quality software. 
 
Debug Across the Stack: Diagnose and resolve issues across front-end, backend, and infrastructure using logs, metrics, and systematic problem-solving. 
 
Contribute to Cloud &amp; DevOps Workflows: Participate in CI/CD pipelines, cloud deployments, monitoring, and operational best practices for system reliability. 
 
Collaborate and Communicate: Work closely with senior engineers and cross-functional teams to clarify requirements, make technical decisions, and deliver impactful solutions. 
 
Preferred Qualifications 
 
5+ years of professional software development experience delivering high-quality, production-ready systems. 
 
Experience deploying scalable solutions handling high-volume data in production environments. 
 
Practical experience building applications or platforms that leverage AI, LLMs, or analytics-driven workflows to enhance functionality or insights. 
 
Familiarity with DevOps practices, including CI/CD pipelines, containerization (Docker), and monitoring/observability tools (logging, metrics, alerting). 
 
Exposure to fast-paced, startup-like environments with rapidly evolving requirements and ambiguity. 
 
Minimum Qualifications 
 
Master&rsquo;s degree in Computer Science, Engineering, or a related field, with 4+ years building production-quality full-stack applications. 
 
High proficiency in Python, including REST API development, Flask-based web applications, asynchronous task processing (Celery), and production-ready code. 
 
Hands-on experience with modern front-end frameworks (e.g., React) and relational databases such as PostgreSQL, including schema design and query optimization. 
 
Proven ability to diagnose and resolve issues across the full stack, including development and production environments. 
 
Familiarity with cloud environments (AWS, GCP, Azure), CI/CD workflows, version control, and modern software engineering best practices. 
 
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 $147,400 and $272,100, 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.

SW Development Engineer: System RF Data Ecosystem

At Apple, new ideas quickly transform into products, services, and customer experiences that delight millions. This innovation is fueled by cutting-edge hardware developed within the Hardware Engineering Group. As a vital part of this organization, the System RF group designs and characterizes wireless systems across Apple&rsquo;s flagship products-including iPhone, Watch, iPad, Mac, and Audio-ensuring world-class performance from prototype to production. 
 
Within this organization, the Smart Data Ecosystem team empowers product evolution by building AI/ML-powered analytics that unlock critical insights from complex wireless manufacturing and design data. The team is currently seeking a Senior AI Development Engineer to architect, develop and deploy scalable AI solutions internally. 
 
Join a team operating at the intersection of hardware, data, and AI-architecting intelligent software tools that solve complex system optimization problems where you can directly influence the performance of Apple products used worldwide! 
 
Description 
 
This role is dedicated to transforming engineering productivity and enabling cutting-edge hardware design through the strategic application of machine learning and generative AI. As a Senior AI Engineer, you will bridge the gap between complex hardware engineering workflows and state-of-the-art artificial intelligence. You will architect intelligent agents capable of automating repetitive engineering tasks, analyzing high-dimensional data to surface hidden trends, and tapping into decades of historical design intelligence. By building these systems, you will empower engineers to arrive at critical decisions with unprecedented speed and accuracy, directly influencing the next generation of Apple innovation. 
 
&quot;,&quot;responsibilities&quot;:&quot;Integrate Large Language Models: Direct the integration of state-of-the-art LLMs (such as Anthropic Claude, Mistral, and Gemini) via both cloud-based APIs and secure on-premise deployments. 
 
Orchestrate Tool-Use and Integration: Develop safe and efficient mechanisms for agents to invoke APIs, query high-dimensional databases, and interact with custom internal engineering tools. 
 
Optimize Retrieval and Knowledge: Architect and maintain advanced RAG (Retrieval-Augmented Generation) pipelines and oversee LLM fine-tuning processes to align models with domain-specific engineering data. 
 
Design and Architect Multi-Agent Systems: Lead the development of sophisticated multi-agent architectures, specifically focusing on complex orchestration, coordination, and persistent state management. 
 
Scalable Deployment: Oversee the transition of AI solutions from experimental prototypes to robust, production-scale internal services that handle complex, high-volume engineering requests. 
 
Preferred Qualifications 
 
10+ years of professional experience in AI/ML-related projects, demonstrating a long-term track record of innovation and technical leadership. 
 
Proven ability to build efficient interfaces for agents to invoke APIs, query high-dimensional databases, and interact with custom toolsets. 
 
Proficiency in Python (Core and Async) and a strong command of FastAPI or Flask for serving high-performance AI endpoints. 
 
Proven success in deploying Generative AI solutions tailored to complex, high-dimensional, and domain-specific engineering data. 
 
Prior experience overseeing the full lifecycle of large-scale software applications deployed within an enterprise-grade production environment. 
 
Deep understanding of model selection, intelligent routing, and fallback strategies to ensure reliability across multiple LLM providers. 
 
Experience developing and implementing rigorous Gen AI evaluation systems to measure the performance, safety, and accuracy of deployed agents 
 
Minimum Qualifications 
 
7+ years of experience in AI/ML-related projects, with a proven track record of architecting and deploying production-scale Generative AI solutions. 
 
Masters or PHD in Artificial Intelligence, Machine Learning, Computer Science or a related field. 
 
Expert-level knowledge of multi-agent system design, including sophisticated orchestration, coordination, and persistent state management. 
 
Strong command of Agent Communication Protocols (e.g., MCP, A2A) and frameworks for designing distributed agentic workflows. 
 
Expert-level software development skills with a solid foundation in architectural design principles and the creation of scalable, modular systems. 
 
Proven ability to lead cross-functional architecture discussions and translate ambitious product goals into robust technical system designs. 
 
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 $181,100 and $318,400, 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.

AI/ML Engineer: System RF Data Ecosystem

At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! 
 
Description 
 
Apple&rsquo;s Ads Signals Intelligence team is seeking a hands-on and experienced Machine Learning Engineer to develop the next generation of ML-driven signal platforms that power retrieval, prediction, and relevance across Apple&rsquo;s advertising ecosystem-including the App Store and Apple News. This role focuses on building content understanding systems and large-scale infrastructure capable of delivering near real-time signal updates, enabling smarter, privacy-aware decision-making throughout the ad delivery stack. 
 
This role focuses on developing rich semantic signals from a variety of sources-including queries, creatives, metadata, and user interactions-to support scalable ad retrieval, creative ranking, and marketplace optimization. You'll work at the forefront of LLM fine-tuning, knowledge graph construction, semantic search, and multimodal representation learning to extract structured intelligence from unstructured data. 
 
While ad tech knowledge is a strong bonus, the core of the role is building high-quality, privacy-centric signals that fuel some of Apple&rsquo;s most advanced machine learning systems. 
 
As part of the Ads Signals Intelligence team, you&rsquo;ll be shaping the foundation of Apple&rsquo;s ad ranking and relevance systems through world-class signal understanding. You&rsquo;ll work on problems at the cutting edge of retrieval, multimodal learning, LLMs, and content intelligence-while contributing to Apple&rsquo;s mission to deliver high-performing, privacy-first advertising experiences at scale.&quot;,&quot;responsibilities&quot;:&quot;Design, implement, and scale ML systems that extract high-value semantic signals from structured and unstructured content 
 
Contribute to retrieval and ranking pipelines using techniques in query understanding, semantic embedding, and dense/sparse indexing 
 
Fine-tune and apply Large Language Models (LLMs) for NLP tasks like content labeling, rewriting, and semantic similarity 
 
Construct and utilize knowledge graphs and entity linking systems for enriching creative and query signals 
 
Work with multimodal data (e.g., combining text, image, and metadata signals) to build robust, cross-domain signal representations 
 
Build core components for a content understanding platform, such as entity extraction, topic modeling, creative summarization, and taxonomy generation 
 
Own experimentation, offline evaluation, and online validation of signal pipelines at massive scale 
 
Collaborate across engineering, infra, and product teams to productionize systems while meeting Apple&rsquo;s high standards for reliability and privacy 
 
Preferred Qualifications 
 
7+ years of experience in machine learning or applied research, with a focus on retrieval, ranking, NLP, or content understanding 
 
MS or PhD in Computer Science, Machine Learning, Information Retrieval, NLP, or a related field. 
 
Minimum Qualifications 
 
4+ years of experience in machine learning or applied research, with a focus on retrieval, ranking, NLP, or content understanding 
 
Deep understanding of information retrieval, semantic search, and query-document matching 
 
Strong hands-on experience with LLM fine-tuning, knowledge graph construction, and entity-centric modeling 
 
Experience working with multimodal models, including text, vision, metadata, or audio-based representations 
 
Proficiency in Python, and experience with one or more of ML frameworks like PyTorch, TensorFlow 
 
Background in statistical modeling, optimization, and ML theory 
 
Exposure to ad tech domains such as auction modeling, targeting, attribution, or creative optimization is a plus 
 
Demonstrated ability to deliver high-impact ML solutions in production environments 
 
Bachelor's in Computer Science, Machine Learning, Information Retrieval, NLP, or a related field. 
 
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 $181,100 and $318,400, 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.

Staff Machine Learning Engineer - Ads Signals Intelligence & Information Retrieval

At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses. 
 
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. 
 
Description 
 
Apple&rsquo;s Ads Signals Intelligence team is seeking a hands-on and experienced Machine Learning Engineer to develop the next generation of ML-driven signal platforms that power retrieval, prediction, and relevance across Apple&rsquo;s advertising ecosystem-including the App Store and Apple News. 
 
This role focuses on building content understanding systems and large-scale infrastructure capable of delivering near real-time signal updates, enabling smarter, privacy-aware decision-making throughout the ad delivery stack. This role focuses on developing rich semantic signals from a variety of sources-including queries, creatives, metadata, and user interactions-to support scalable ad retrieval, creative ranking, and marketplace optimization. 
 
You'll work at the forefront of LLM fine-tuning, knowledge graph construction, semantic search, and multimodal representation learning to extract structured intelligence from unstructured data. While ad tech knowledge is a strong bonus, the core of the role is building high-quality, privacy-centric signals that fuel some of Apple&rsquo;s most advanced machine learning systems. 
 
As part of the Ads Signals Intelligence team, you&rsquo;ll be shaping the foundation of Apple&rsquo;s ad ranking and relevance systems through world-class signal understanding. You&rsquo;ll work on problems at the cutting edge of retrieval, multimodal learning, LLMs, and content intelligence-while contributing to Apple&rsquo;s mission to deliver high-performing, privacy-first advertising experiences at scale.&quot;,&quot;responsibilities&quot;:&quot;Design, implement, and scale ML systems that extract high-value semantic signals from structured and unstructured content 
 
Contribute to retrieval and ranking pipelines using techniques in query understanding, semantic embedding, and dense/sparse indexing 
 
Fine-tune and apply Large Language Models (LLMs) for NLP tasks like content labeling, rewriting, and semantic similarity 
 
Construct and utilize knowledge graphs and entity linking systems for enriching creative and query signals 
 
Work with multimodal data (e.g., combining text, image, and metadata signals) to build robust, cross-domain signal representations 
 
Build core components for a content understanding platform, such as entity extraction, topic modeling, creative summarization, and taxonomy generation 
 
Own experimentation, offline evaluation, and online validation of signal pipelines at massive scale 
 
Collaborate across engineering, infra, and product teams to productionize systems while meeting Apple&rsquo;s high standards for reliability and privacy 
 
Preferred Qualifications 
 
7+ years of experience in machine learning or applied research, with a focus on retrieval, ranking, NLP, or content understanding 
 
MS or PhD in Computer Science, Machine Learning, Information Retrieval, NLP, or a related field. 
 
Minimum Qualifications 
 
4+ years of experience in machine learning or applied research, with a focus on retrieval, ranking, NLP, or content understanding 
 
Deep understanding of information retrieval, semantic search, and query-document matching 
 
Strong hands-on experience with LLM fine-tuning, knowledge graph construction, and entity-centric modeling 
 
Experience working with multimodal models, including text, vision, metadata, or audio-based representations 
 
Proficiency in Python, and experience with one or more of ML frameworks like PyTorch, TensorFlow 
 
Background in statistical modeling, optimization, and ML theory 
 
Exposure to ad tech domains such as auction modeling, targeting, attribution, or creative optimization is a plus 
 
Demonstrated ability to deliver high-impact ML solutions in production environments 
 
Bachelor's in Computer Science, Machine Learning, Information Retrieval, NLP, or a related field. 
 
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 $181,100 and $318,400, 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.

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