aiml - machine learning engineer, data and ml innovation

aiml - machine learning research engineer, data and machine learning innovation

aiml - sr applied ai scientist - genai model autograding, evaluation

administrative assistant - beats, home, accessory, and ecosystem

ai/ml engineer: system rf data ecosystem Jobs in Cupertino

ai/ml engineer: system rf data ecosystem

aiml - ai software engineer, evaluation Jobs in Cupertino

aiml - ai software engineer, evaluation

aiml - machine learning engineer, data and ml innovation Jobs in Cupertino

aiml - machine learning research engineer, data and machine learning innovation Jobs in Cupertino

aiml - sr applied ai scientist - genai model autograding, evaluation Jobs in Cupertino

applied machine learning engineer customer feedback

Apple

Join the team responsible for Apple&rsquo;s Feedback and Beta Programs! Our tools and applications collect user feedback on beta software releases, helping to drive the direction and priorities of Apple&rsquo;s engineering teams. To make the best use of feedback we receive from customers and developers, we develop and maintain machine learning systems and automated analysis to cluster, annotate, and escalate the millions of reports we receive yearly. 
 
We are looking for experienced Machine Learning engineers to deploy and tune both traditional ML and generative AI models to enhance our systems&rsquo; capability. There are tantalizing problems and products possible with our one-of-a-kind dataset, and plenty of opportunity for a passionate engineer. 
 
Description 
 
Our team is seeking adept machine learning engineers who are excited by creating machine-learning-driven user experiences. Work includes implenting high-performance machine learning models and infrastructure in concert with software engineers, designers, and teams of internal users. 
 
You will be responsible for full stack ML development in partnership with others on the team. This includes data generation and curation, creating and influencing ML tooling and infrastructure, driving evaluation efforts, and training or fine-tuning models. You will also be involved in directly integrating ML into internal tools and systems. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions. 
 
The team values rapid iteration, based on bringing models into reality so stakeholders can play with cutting edge technology and research. To this end you will be engaged with hardware, software, and design teams across Apple; both representing the technology and implementing it into prototypes. 
 
You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting. 
 
Preferred Qualifications 
 
Working knowledge of applied Natural Language Processing. 
 
Strong hands-on experience in building large scale ML based solutions or in building and scaling distributed systems. 
 
Minimum Qualifications 
 
Industry experience with applied machine learning. 
 
Industry experience in software engineering, data engineering, or similar. 
 
Strong fundamentals in problem solving, algorithm design, and model building 
 
Excellent verbal and written communication and presentation skills 
 
MS in Computer Science or related experience 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $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.

Applied Machine Learning Engineer - Customer Feedback

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer passionate about solving real-world problems in the health domain that make a difference in our customers' lives. 
 
Description 
 
In this role, you will use your skills and experience in ML and deep learning to design, implement, tune and evaluate machine learning models and algorithms to solve ambitious problems involving unique data and objectives including state of the art generative AI models and tools. The successful candidate should possess excellent interpersonal skills and ability to work multi-functionally to apply novel research at the intersection of Health and ML into customer features. 
 
Preferred Qualifications 
 
PhD preferred. 
 
5+ years experience in hands-on experience in state-of-the-art machine learning and deep learning as applied to large-scale datasets. 
 
Strong background in generative models, natural language processing, and large language models. 
 
Proficiency working with large scale models using modern machine learning packages (e.g. TensorFlow, PyTorch, Jax, Huggingface). 
 
Ability to thrive in fast-paced environment, deal with uncertainty, and adapt to new and changing requirements. 
 
Proven track record of contributing to diverse teams in a collaborative environment. 
 
A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills. 
 
Minimum Qualifications 
 
10+ years of overall software development experience. 
 
Experience in leading a team and track record of multi-functional collaboration to deliver customer-facing features in production. 
 
BS/MS/Ph.D. in Computer Science, Computer Engineer, Machine Learning, or related fields or equivalent qualification. 
 
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 $212,000 and $386,300, 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.

Machine Learning Engineer- Health AIML

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

<div>Are you a seasoned engineer passionate about transforming cutting-edge ML research into production systems that improve lives? The Applied Sensing &amp; Health team is revolutionizing health and fitness technology, empowering millions to live healthier, more active lives. We develop sophisticated machine learning algorithms and sensor fusion systems that track human motion, turning raw data into meaningful, actionable insights for Apple users worldwide. 
 
Join a team of world-class experts dedicated to applied ML in human movement and health. Here, you'll bridge the gap between research and production-translating novel ML approaches into robust, high-performance systems that delight and inspire millions of Apple customers every day. This is a unique opportunity to blend ML expertise with systems engineering in service of a mission that truly matters. 
 
Description 
 
The Applied Sensing &amp; Health team delivers critical Health and Fitness features for Apple Watch, iPhone, and other Apple products. We are seeking a versatile applied ML engineer who thrives at the intersection of research and production systems. In this pivotal role, you will: 
 
<ul><li>Translate cutting-edge ML research into optimized, production-ready algorithms for sensor data processing</li></ul> 
<ul><li>Design and conduct data-driven research to improve fitness and health algorithms, analyzing large-scale sensor datasets to derive actionable insights</li></ul> 
<ul><li>Implement ML models and pipelines end-to-end-from prototyping in Python to production deployment in C++</li></ul> 
<ul><li>Collaborate with research scientists to evaluate new approaches and drive them toward production</li></ul> 
<ul><li>Build tools and infrastructure for data analysis, model evaluation, and algorithm validation</li></ul> 
Your work will span the entire ML workflow: researching novel approaches, prototyping solutions, analyzing data at scale, and implementing robust production systems. You'll work closely with ML researchers, health scientists, and multi-disciplinary teams across Apple, delivering best-in-class systems that impact millions of users daily. 
 
Preferred Qualifications 
 
A demonstrated passion for health and fitness, driven to empower users through technology 
 
Experience with sensor data analysis, signal processing, or time-series modeling 
 
Knowledge of biomechanics, exercise physiology, or human movement analysis 
 
C++ programming skills with ability to optimize ML algorithms for production systems, including performance tuning and memory management 
 
Understanding of systems-level programming concepts including multi-threading,concurrency, and real-time constraints 
 
Publications or demonstrated research contributions in ML, computer vision, or related areas 
 
Track record of shipping ML-powered products or features at scale 
 
Minimum Qualifications 
 
MS or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or related field 
 
3+ years of experience applying ML to real-world problems. 
 
Strong foundation in machine learning with hands-on experience across the full ML workflow: research, experimentation, model development, evaluation, and production deployment 
 
Proficiency in Python for ML development, data analysis, and statistical modeling; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn, etc.) 
 
Experience translating research papers or prototypes into production-quality code 
 
Strong data analysis skills: comfortable working with large datasets, conducting experiments, visualizing results, and drawing meaningful conclusions 
 
Demonstrated ability to work independently on research problems while also collaborating effectively with cross-functional teams 
 
Familiarity with modern GenAI-enabled development workflows and tools (e.g., AI-assisted coding, automated code generation, intelligent debugging), coupled with a strong aptitude for learning and adapting to evolving technologies. 
 
Intellectual curiosity and willingness to dive deep into both algorithmic details and implementation challenges 
 
Exceptional communication skills; able to explain complex technical concepts to diverse audiences 
 
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 $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.</div>

Senior Machine Learning Engineer, Applied Sensing & Health

Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. As part of Apple&rsquo;s Responsible AI group within the Human-Centered Machine Intelligence (HCMI) organization, you&rsquo;ll collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. Together, we&rsquo;ll anticipate challenges, measure real-world impact, and deliver trusted, high-quality AI experiences to users around the globe. You&rsquo;ll also contribute to forward-looking research in fairness, robustness, uncertainty, and safety - pushing the boundaries of responsible AI at scale. 
 
Description 
 
Our team leads Responsible AI initiatives for global generative AI products, operating at the intersection of policy, product, and GenAI. We're seeking candidates who will shape safety policies in partnership with leadership, design, engineering, legal, and regulatory stakeholders-ensuring our safeguards advance both user protection and product innovation. 
 
These individuals will work on architecture mitigation and safety alignment strategies for generative models, drive integration in production. Additionally, they will work on developing models, tools, datasets, and evaluation methods to monitor, diagnose failures, and improve the safety of generative models throughout the deployment lifecycle. We do all these by incorporating human and automated feedback, post-launch to continuously improve feature safety and user trust. 
 
Preferred Qualifications 
 
BS, MS, or PhD in Computer Science, Machine Learning, or related field, or equivalent experience 
 
Proven success contributing in a highly cross-functional environment 
 
Experience shipping complex AI systems at global scale 
 
Background in model explainability, uncertainty estimation, or interpretability 
 
Curiosity and research interest in fairness, bias, and the societal impacts of generative AI 
 
Passion for building innovative, high-impact products that draw upon interdisciplinary skills 
 
Minimum Qualifications 
 
3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision 
 
Proficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis, visualization, and applied ML workflows 
 
Excellent interpersonal skills and proven ability to translate sophisticated technical insights for cross-functional partners, senior leadership, and executives 
 
Strong analytical and independent problem-solving skills, with ability to navigate ambiguity 
 
Experience designing and supporting human and automated evaluations, particularly with complex, nuanced, or multi-labeled data 
 
Hands-on experience collecting and analyzing language, vision, or multimodal datasets 
 
Background in failure analysis, quality engineering, or robustness testing for ML-driven systems 
 
Must be comfortable working with sensitive or potentially offensive content 
 
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.

AIML - Staff ML Engineer, Responsible AI

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.

Senior Machine Learning Engineer - Ads Signals Intelligence and Information Retrieval

Explore 92+ Applied machine learning engineer customer feedback in Cupertino this March. Find roles across top companies and apply now to boost your career.