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aiml - machine learning engineer, data and ml innovation

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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 - applied ml engineer, responsible ai Jobs in Cupertino

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

aiml - machine learning engineer, mlr Jobs in Cupertino

aiml - machine learning engineer, mlr

machine learning engineer apple search knowledge platforms

Apple

<div>The Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop state-of-the-art generative AI technologies based on Large Language Models to power innovative features in both Apple&rsquo;s devices and services on the cloud. 
 
As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and synthesize information across documents to provide user with a direct answer that best satisfies their intent and information seeking needs. Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. 
 
You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple&rsquo;s AI powered products and conduct applied research to transfer the cutting edge research in generative AI to production ready technologies. 
 
Description 
 
As a member of our fast-paced group, you&rsquo;ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for highly motivated machine learning engineers and researchers having strong machine learning and deep learning fundamentals with hands-on experience in fine-tuning deep learning and large language models. This role will have the following responsibilities: 
 
<ul><li>Conduct research and development on state-of-the-art deep learning and large language models for various tasks and applications in Apple&rsquo;s AI-powered products</li></ul> 
<ul><li>Developing, fine-tuning, and evaluating domain-specific Large Language Models for various NLP tasks including summarization, question answering, search relevance/ranking, entity linking and query understanding problems</li></ul> 
<ul><li>Conducting applied research to transfer the cutting edge research in generative AI to production ready technologies</li></ul> 
<ul><li>Understanding product requirements, translate them into modeling tasks and engineering tasks</li></ul> 
<ul><li>Stay up to date with the latest advancements and research in deep learning and large language models</li></ul> 

Preferred Qualifications 
 
PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 
 
At least 1 year of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas: 
 
<ul><li>Supervised Fine-tuning (SFT) with Rejection Sampling</li></ul> 
<ul><li>Preference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.)</li></ul> 
<ul><li>Parameter efficient fine-tuning techniques (e.g LoRA)</li></ul> 
<ul><li>Hallucination reduction and factual accuracy improvements</li></ul> 
<ul><li>Designing and implementing safety guardrails</li></ul> 
At least 4 years of experience with large-scale model training, optimization, and deployment 
 
One or more scientific publications in various conferences and journals 
 
Outstanding communication and interpersonal skills with ability to work with cross-functional teams. 
 
Minimum Qualifications 
 
Master&rsquo;s in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 
 
2 years of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas: Supervised Fine-tuning (SFT) with Rejection Sampling, Preference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.), Parameter efficient fine-tuning techniques (e.g LoRA), Hallucination reduction and factual accuracy improvements, Designing and implementing safety guardrails 
 
Experience working with Deep learning or LLM model development for various NLP tasks and RAG applications including prompt engineering, training data collection and generation, model fine-tuning and model evaluation 
 
Experience working with Python and at least one of the deep learning frameworks such as TensorFlow, 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 $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>

Machine Learning Engineer, Apple Search & Knowledge Platforms

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

In a time where the news and book media landscapes are changing by the day, Apple News and 
 
Apple Books stand as champions of quality content, expert curation, user privacy, and the 
 
judicious use of machine learning. 
 
Our lively and brilliant team consists of client and machine learning engineers who embody 
 
Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our 
 
careers. 
 
Our team's outstanding retention rate speaks to our strong culture of respect for our teammates 
 
as both engineers and people. 
 
Would you like to work on such a team, solving hard problems in machine learning? Terrific! 
 
Please join us for the next generation of these apps! 
 
Description 
 
Our team is seeking a high-energy and self-driven machine learning engineer who will play a 
 
central role in the delivery of scalable services. The team uses machine learning to tackle 
 
difficult and complicated problems in the news, books, and stocks domains, including text 
 
extraction, named entity recognition, duplicate detection, search, ranking, and much more! As a 
 
member of our dynamic group, you&rsquo;ll have the rare and rewarding opportunity to craft upcoming 
 
products that will delight and encourage millions of Apple&rsquo;s customers every day!&quot;,&quot;responsibilities&quot;:&quot;Design and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features. 
 
Develop datasets, design model architecture, and prompt, train, or fine-tune models. 
 
Partner with cross-functional teams at the intersection of technology and liberal arts to design and implement end-to-end AI/ML features. 
 
Drive application features from concept, model design, and development all the way to delivery. 
 
Join a thriving machine learning community at Apple. 
 
Preferred Qualifications 
 
Ph.D. in Machine Learning, Computer Science, or related field. 
 
At least 5 years of experience shipping machine learning models in products. 
 
Experience with recommender systems. 
 
Experience with text-centric AI/ML (LLMs, document classification, search, etc.) 
 
Experience delivering high quality software at scale. 
 
Experience designing user-facing machine learning features with interdisciplinary partners. 
 
Minimum Qualifications 
 
MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable. 
 
At least 2 years of experience shipping machine learning models in products. 
 
Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar. 
 
Ability to communicate effectively and collaborate with partner teams. 
 
Commitment to encouraging an open and inclusive work environment. 
 
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.

Machine Learning Engineer - News, Books, & Stocks Team

At Apple, we work every day to create products that enrich people&rsquo;s lives. Our Ad Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. 
 
The Machine Learning Platform team&rsquo;s mission is to empower Ad Platforms teams to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers. Are you a results-oriented and versatile engineer who can excel in an Agile environment? You will work closely with engineers and data scientists to design, develop, and build world-class platform capabilities that will enable Ad Platforms teams to improve and scale our ML features, models, and applications. 
 
Description 
 
The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Ad Platforms teams. As a key contributor to this team, you will design and develop secure and scalable back-end systems. You will enjoy building high-performing, elegant systems from the ground up, in close partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solution for the interesting challenges we get to tackle here. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve. You will play a meaningful role building machine learning products which deliver on Apple's privacy commitments and change the way advertising works with data. 
 
Join us and contribute to a culture that emphasizes reliability, simplicity, and scalability. You will join a team of world-class machine learning engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing each other&rsquo;s growth and supporting each other in delivering for our customers! 
 
Preferred Qualifications 
 
PhD, MS, or BS in computer science or a related field, with 8+ years of experience in machine learning and strong software engineering skills. 
 
Minimum Qualifications 
 
Proven track record of designing and operating large-scale, low-latency ML Serving platform supporting real-time and batch inference. 
 
Experience of model quantization, tensor parallelism, and inference optimizations (e.g ONNX Runtime, TensorRT, vLLM). Actively led evaluation and adoption of such technologies. 
 
Experience working on distributed systems (e.g Ray, high-throughput RPC systems) to support scalable inference workloads and hybrid online/offline serving patterns. 
 
Prior experience in advertising industry, federated learning and privacy-preserving ML techniques. 
 
Recognized as a technical leader and mentor, supports the growth of engineers through code/design reviews, working groups, and internal knowledge sharing. 
 
Experience building machine learning models using frameworks like PyTorch, TensorFlow. Provides technical guidance and mentorship on best practices. 
 
Led development of foundational AI/ML platforms and tooling including Feature Stores, Vector DB to accelerate team productivity and model lifecycle management. 
 
Experience performance tuning &amp; trouble-shooting. 
 
Pride in building tools to automate routine tasks, organized &amp; detailed. 
 
Passionate about developer experience builds abstractions, automation tools, and reusable components to streamline ML workflows and reduce operational burden. 
 
Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams. 
 
Results oriented with a desire to work in a fast-paced and collaborative work environment. 
 
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 ML Infrastructure

Imagine what you could do here! The people here at Apple don&rsquo;t just create products - they build the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. 
 
Here on the Apple Store Online team, we are responsible for Apple&rsquo;s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things. 
 
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop the next generation of algorithms used to drive the Apple Online experience! The role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimize Apple-wide systems &amp; infrastructure. As a member of the fast-paced team, you will have the outstanding and great opportunity to work on new projects and craft upcoming products that will delight and encourage millions of Appleʼs customers ever day. 
 
Description 
 
To be successful, candidates will need a machine learning background, proven software development skills, a love of learning. They will also need to be able to collaborate with multi-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to help develop and implement machine learning algorithms and testing workflows.&quot;,&quot;responsibilities&quot;:&quot;Collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment. 
 
Give to the ongoing improvement of our ML infrastructure and tooling. 
 
Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering. 
 
Mentor junior MLEs on the team to ensure best practices are followed. 
 
Preferred Qualifications 
 
PhD or Graduate degree with research/work experience using data science techniques (including but not limited to Computer Science, Statistics, Mathematics, etc). 
 
Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture. 
 
Skilled in communication, problem solving, critical thinking. 
 
Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus. 
 
Experience with Spark, TensorFlow, Keras, and PyTorch a plus 
 
Minimum Qualifications 
 
Bachelorʼs degree in Computer Science, Statistics, Mathematics with equivalent experience. 
 
5+ years of related experience building high throughput scalable applications or building machine learning models. 
 
Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems. 
 
Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc. 
 
Skilled in communication, problem solving, critical thinking Attention to detail, data accuracy and quality of output. 
 
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

Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences? 
 
We are looking for a Software Engineer who is passionate about translating expertise in NLP and ML into impactful applications for users. The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work. 
 
Our team is responsible for the Research, Development and Deployment of ML/NLP technologies that power Apple Intelligence on device and on private compute cloud. Our team was also responsible for building Generative AI experiences for Writing Tools, Smart Replies, Transformer Models for Keyboard across all Apple Platforms. 
 
Our team has a great mix of talent across NLP, Software Engineering and Machine Learning. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams at Apple. 
 
Description 
 
As a member of this premier team, you will work on the intersection of NLP, Machine Learning and Software Engineering. 
 
The position requires proven hands-on NLP experience in conjunction with Software Engineering. The role spans the entire gamut of NLP: text processing, empirical experimentation for building state-of-the-art NLP models, productizing Generative AI features for Apple. You will collaborate closely with several engineering teams at Apple that work on machine learning and NLP. 
 
Preferred Qualifications 
 
Hands-on experience in using open-source ML toolkits, e.g., PyTorch 
 
Hands-on experience with building NLP/Generative AI applications 
 
Excellent communication and organizational skills 
 
Minimum Qualifications 
 
Experience writing production software (Swift, C/C++, Obj-C, Python) 
 
Good machine learning (ML) fundamentals 
 
B.S, M.S. or PhD in Computer Science 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 $126,800 and $220,900, 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.

Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)

Explore 145+ Machine learning engineer apple search knowledge platforms in Cupertino this March. Find roles across top companies and apply now to boost your career.