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

aiml - sr machine learning engineer, responsible ai

administrative assistant - beats, home, accessory, and 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

aiml - sr machine learning engineer, responsible ai Jobs in Cupertino

executive assistant graphics games machine learning

Apple

Does an exciting, dynamic, fast paced and collaborative environment catch your attention? Do you like puzzles and determining solutions that are not obvious? If so, consider joining us! We are seeking an Executive Assistant for our VP of Graphics, Games &amp; Machine Learning.The ideal candidate will thrive in a collaborative, fast-paced environment, demonstrate outstanding interpersonal skills, work autonomously &amp; collaboratively, and show a proactive approach to solving problems. In addition to being organized and analytical, you have the strong business judgment and communication skills needed to interact with a variety of people across multiple job functions and levels. You must love what you do and have the desire to be a team player on an amazing team. 
 
Description 
 
This role requires a high degree of flexibility, strategic thinking, and strong problem-solving skills to effectively navigate shifting priorities and last-minute changes. As a master of planning and calendar management, you will play a critical role, working alongside the VP, in orchestrating complex schedules, ensuring the executive&rsquo;s time is efficiently managed. Serving as the primary gateway to the calendar, you will collaborate closely with the VP, other executive assistants, project managers, and leaders across Apple and external organizations. Your support will be comprehensive and meticulous-ranging from daily calendar oversight and travel coordination to expense report submission, event planning (both business and social), and addressing a wide variety of day-to-day needs. Your ultimate goal: to ensure the executive is set up for success at all times. 
 
To thrive in this fast-paced, high-impact role, you must possess exceptional organizational and communication skills, keen attention to detail, and the highest level of discretion in handling confidential information. You are tech-savvy, proactive, and adaptable-always anticipating needs and staying one step ahead to keep operations running smoothly. A strong sense of professionalism, relationship-building expertise, and a genuine passion for what you do will be key to your success in this position. 
 
Preferred Qualifications 
 
Ability to work collaboratively on assignments and handle sensitive and confidential information with integrity and discretion, with the flexibility to adjust priorities on short notice. 
 
Proven track record of meeting deadlines and taking initiative to make confident and well-informed decisions. 
 
Proficiency in Apple products including, Calendar, Numbers and Keynote 
 
Ability to handle conflict appropriately, knowing when to delegate issues upward and when to apply common sense. 
 
AA or BS degree preferred. 
 
Minimum Qualifications 
 
Minimum of 4+ years of EA experience supporting VP, SVP or C-level executives in a high tech industry. 
 
Experience managing highly complex calendars, with the ability to foresee and resolve scheduling conflicts proactively. 
 
Experience planning, managing, and executing events. 
 
Strong written and verbal communication skills, with professionalism and tact when interacting with senior executives and team members. 
 
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 $42.64 and $74.56/hr, 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.

Executive Assistant, Graphics, Games & Machine Learning

The Siri team is creating groundbreaking technology for large scale systems, spoken language, machine learning, and LLMs to enable better conversational experience with Siri. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to fulfill their requirements and find what they are looking for. As part of the Siri team, you will work with the talent dense team who crafted the intelligent assistant that helps users get things done - just by asking. 
 
Description 
 
As a machine learning engineer at Siri, you will be responsible for doing development and research in the deep learning field and building the most advanced natural language and conversation understanding systems. You should be passionate about working with software and platform engineers to integrate the models on-device and improve natural language understanding ability of Siri. Excellent interpersonal skills will be required to coordinate work across multiple teams to ship the state-of-the-art technology to production and impact all Siri users.&quot;,&quot;responsibilities&quot;:&quot;As a member of this team, the successful candidate will: 
 
Develop novel ML/DL models including LLMs for natural language understanding and generation, especially under computation and resource limitations. 
 
Work with software and platform engineers to ship LLMs in production. 
 
Diagnose model errors and perform accuracy hill climbing for AI assistants. 
 
Context engineering for LLMs 
 
Large scale dataset generation 
 
Preferred Qualifications 
 
3-5+ years proven programming skills using standard ML tools such as C/C++, Python, PyTorch, Tensorflow, Hugging Face, etc. 
 
Hands-on experience working (training, fine-tuning, optimizing, deploying) with large models (e.g. LLMs). 
 
Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce the resource consumption and/or eliminate latency 
 
Publication at top ML/DL/NLP conferences such as NeurIPS, ACL, EMNLP, etc. is a plus. 
 
Minimum Qualifications 
 
Solid understanding of state-of-the-art technology in machine learning, deep learning (including LLMs) and natural language understanding. 
 
Excellent problem-solving (e.g. via building forward-looking prototype systems), critical thinking, strong communication, and collaboration skills 
 
Ph.D. or M.S. degree in related fields 
 
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, Siri Core Modeling

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. 
 
&ldquo;Hey Siri, let&rsquo;s work together at Apple!&quot; The Siri Attention &amp; Invocation team is looking for Machine Learning Engineers passionate about developing and advancing frictionless voice invocation experiences on Apple&rsquo;s innovative devices, enabling compelling new conversational features for Siri interactions. Build end-to-end model training and evaluation pipelines. Deploy machine-learned, on-device models that are aligned with the core values of Apple, ensuring the highest standards of quality, innovation, and respect for user privacy. And work with the people who created the intelligent assistant that helps millions of people around the world get things done - just by saying &lsquo;(Hey) Siri.&rsquo; 
 
Description 
 
You will be part of a team whose focus will be on applied machine learning, on building and deploying models that constantly advance the state-of-the-art. But that is only half the story! In Siri Attention &amp; Invocation, we own our user journeys end-to-end. We measure the impact of our deployed models not just on pre-ship evaluation sets, but also post-ship on production traffic. We optimize error rates on existing data. We also define new metrics that take into account the user experience we want to deliver and apply them to the data that best represents the next feature we ship. And we are sometimes constrained by the limits of on-device computation - that is where your ability to innovate will be most impactful. 
 
You will collaborate with many dynamic, cross-functional teams consisting of software engineers and machine learning engineers/scientists. The ideal candidate will excel in both academic rigor and engineering efficacy, staying up-to-date with the latest research advancements as well as delivering reliable and robust models to all devices for all users around the world. If you are passionate about building outstanding products and using the full spectrum of your skills to extend the core technology that lets Siri understand, personalize, and interact in new and exciting ways, then we cannot wait to hear from you. 
 
&ldquo;&quot;,&quot;responsibilities&quot;:&quot;As a member of this team, the successful candidate will: 
 
Develop and advance frictionless voice invocation experiences. 
 
Be responsible for developing and integrating Siri&rsquo;s speech and audio experience in a full range of Apple devices. 
 
Collaborate with researchers to develop advanced machine learning (ML) technologies. 
 
Focus on improving the ML training and evaluation infrastructure for improved research efficiency, and faster modeling iterations. 
 
Develop agile deployment processes which are easier to scale using the best automation practices. 
 
Preferred Qualifications 
 
Master&rsquo;s or Ph.D. degree in Computer Science, Electrical Engineering or related field; outstanding candidates with Bachelor&rsquo;s degrees and multiple years of significant engineering/product experience will also be considered 
 
Industry experience in product development and deployment and understanding of full software product life cycle 
 
Minimum Qualifications 
 
3-5 years of experience with scalable machine learning technologies 
 
Strong background in machine learning and deep learning; experience in speech recognition is highly desired 
 
Proficiency in deep learning / machine learning frameworks (e.g., PyTorch, TensorFlow) and programming languages including but not limited to C/C++/Python, with strong software engineering fundamentals and an interest in optimizing, automating, and scaling end-to-end systems (e.g., PySpark, Airflow) 
 
Strong attention to detail, along with the analytical skills and the willingness to dive into data to explain anomalies and conduct error/deviation analyses 
 
Outstanding problem solving, critical thinking, creativity, and interpersonal skills; ability to communicate effectively and to work well in multi-functional teams 
 
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, Siri Attention & Invocation

<div>Apple's Media, Graphics, and Compute Technologies Group (MGC) is looking for a talented and dedicated big data engineer to join our Data Engineering team. The Data Engineering team within the MGC organization plays a critical role in supporting data-driven analytics by providing data collection, warehousing, and analytics at big data scale. Our team provides the infrastructure to power numerous trend and operational dashboards as well as other ad-hoc use cases in support of services like Apple TV, Apple Music, and FaceTime. We are leveraging Generative AI and Machine Learning technologies to provide best-in-class data analytics and monitoring. 
 
This role offers the opportunity to help design, enhance, and develop our very-high-volume processing pipeline. You'll work with talented engineers within our team as well as cross-functional teams in an agile and dynamic environment that values engineering excellence, creativity, and innovation, and you will be a key contributor to our next generation of processing pipeline and data analytics platform. 
 
Description 
 
Our team leverages modern Data Engineering, Generative AI and Machine Learning technologies to deliver actionable insights. You will be: 
 
<ul><li>Collaborating with data scientists across functional teams to define and enhance performance metrics that provide valuable insights for stakeholders</li></ul> 
<ul><li>Building and maintaining:</li></ul> 
<ul><li>Ingestion pipelines for real-time data processing</li></ul> 
<ul><li>Real-time applications driving operational monitoring</li></ul> 
<ul><li>Batch ETL/ELT applications populating our data warehouse</li></ul> 
<ul><li>Applying Generative AI and Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities</li></ul> 
<ul><li>Applying Machine Learning technologies for anomaly detection&quot;,&quot;responsibilities&quot;:&quot;Tuning and scaling Apache Kafka producer/consumer, Spark Structured Streaming and Flink applications running in cloud environment</li></ul> 
Managing and monitoring large scale data collection and analytics pipelines at the application level 
 
Performing capacity planning to scale infrastructure and applications running on Kubernetes 
 
Troubleshooting production issues and conducting performance analysis of distributed systems 
 
Collaborating with cross-functional teams to ensure high availability and reliability of data pipelines 
 
Keeping up with the latest data engineering trends and applying the corresponding technologies 
 
Preferred Qualifications 
 
Production experience with Apache Kafka, Spark, or Flink 
 
Working knowledge of Trino or similar distributed query engines 
 
Experience building multi-agent AI systems or agentic workflows 
 
Familiarity with Retrieval Augmented Generation (RAG) techniques working in conjunction with LLMs 
 
Experience with creating and consuming Model Context Protocol (MCP) services 
 
Minimum Qualifications 
 
Bachelor's degree in Computer Science or equivalent professional experience 
 
Experience in building large scale distributed systems in Java/Python or similar languages 
 
Proficient in SQL 
 
Experience with data warehouse architectures and dimensional modeling 
 
Demonstrated ability to conduct performance analysis and troubleshoot large scale distributed systems 
 
Strong collaboration skills with ability to understand complex architectures and work effectively across teams 
 
Hands-on experience with Docker and Kubernetes 
 
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.</div>

Data 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

At Apple, data helps turn curiosity into breakthrough product experiences. Within iCloud, data plays a critical role in shaping how cloud services evolve, scale, and deliver world-class experiences. 
 
We are seeking a Sr. Data Science Leader to define and scale the data science vision across iCloud and Enterprise domains. This leader will build and guide a high-impact organization that shapes product strategy, drives business outcomes, and elevates decision-making through rigorous, data-informed insights. 
 
This role calls for a strategic leader who pairs deep technical expertise with strong people leadership, and who can translate complex data into clear, measurable product and business impact while driving alignment across senior stakeholders. 
 
Description 
 
The Sr. Data Science Leader will oversee and grow a team of senior data scientists and managers responsible for analytics, experimentation, modeling, and data-driven insights that directly influence iCloud product experiences and business strategy. 
 
You will partner closely with Product, Engineering, Design, and Business leaders to define success metrics, guide long-term roadmaps, and embed data science deeply into product development. As a trusted advisor to senior leadership, you will bring clarity to complex problems, drive prioritization across competing initiatives, and influence executive decisions with well-structured, evidence-based recommendations. 
 
This role operates at both strategic and execution levels. You must be comfortable navigating ambiguity, setting direction in complex problem spaces, and balancing immediate product impact with long-term capability building.&quot;,&quot;responsibilities&quot;:&quot;Lead organizational transformation: Champion a culture that balances data-driven rigor with informed intuition in decision-making, helping teams across iCloud integrate data science insights into product and business strategy. 
 
Set the data science vision: Establish the long-term strategy for analytics, experimentation, and machine learning across iCloud and Enterprise domains, ensuring statistical rigor and scalable data science practices that support product and business priorities. 
 
Drive product and business impact through data: Guide large-scale experimentation, causal inference, predictive modeling, and optimization efforts that inform product direction, engagement, growth, and enterprise value. 
 
Influence executive decision-making: Partner closely with Product, Engineering, Design, and Business leaders to define success metrics, shape roadmaps, evaluate trade-offs, and guide strategic decisions through data-driven insights. 
 
Elevate data science capabilities across the organization: Establish best practices for analytical rigor, experimentation, and insight generation while enabling teams to work effectively with large datasets and scalable data infrastructure. 
 
Preferred Qualifications 
 
Maintain deep awareness of the rapidly evolving AI ecosystem and apply those insights to guide team and organizational strategy. 
 
Minimum Qualifications 
 
10+ years of experience in data science, analytics, or applied machine learning. 
 
5+ years of experience leading and scaling data science teams, including managing managers. 
 
Proven track record supporting product development in large-scale consumer or enterprise environments. 
 
Strong foundation in statistics, experimentation design, causal inference, and machine learning methodologies. 
 
Experience working with large, complex datasets and modern data ecosystems. 
 
Experience with large-scale experimentation, recommendation systems, personalization, growth analytics, or optimization at scale. 
 
Experience overseeing large-scale data science initiatives and cross-functional data infrastructure initiatives. 
 
Advanced degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field. 
 
Exceptional communication skills with the ability to influence both technical and non-technical stakeholders. 
 
Demonstrated ability to operate effectively in ambiguous, complex environments and set clear direction. 
 
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 $262,500 and $393,800, 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. Data Science Leader - iCloud

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! Bring passion and dedication to your job and there's no telling what you could accomplish. Does an engaged, user-focused, and high impact environment catch your attention? Do you like puzzles and determining solutions that are not obvious? If so, consider joining us. 
 
The News team at Apple is looking for smart, creative scientists and algorithm design experts to build a new generation of features. You will contribute to the ecosystem of Machine Learning models that powers Apple News on iOS and transforms data into sophisticated features that delight, connect, and inspire users every day. 
 
Description 
 
Apple&rsquo;s News team is seeking a high-energy and self-driven Machine Learning Scientist who will play a key role in the delivery of scalable machine learning models. The team uses machine learning to tackle complicated problems in the News domain, including text and multi-media understanding, personalization, search and ranking. As a member of our dynamic group, you&rsquo;ll have the rare and rewarding opportunity to design algorithms for upcoming features that will delight and inform millions of Apple&rsquo;s customers every day. 
 
We're looking for smart and creative scientists with a deep background in computer science, especially machine learning, deep learning, information retrieval, and scalable distributed computing.&quot;,&quot;responsibilities&quot;:&quot;Design and implement both custom and state-of-the-art machine learning and deep learning models that process text, extract information, personalize feeds, and transform complex requirements into tangible solutions. 
 
Curate high-quality training datasets, and architect deep learning models including defining custom architectures, fine-tuning large language models, and training adapters suitable for specific tasks 
 
Own the full machine learning lifecycle: from ideation, experimentation and prototyping to deployment, monitoring, and continuous improvement of models in production. 
 
Partner with multi-functional teams at the intersection of technology and liberal arts to design and implement end-to-end machine learning enabled features. 
 
Stay abreast with the latest advances in deep learning research in areas like multi-modal learning, large language models, generative AI and others, and proactively apply novel techniques to solve key challenges in the news domain. 
 
Preferred Qualifications 
 
Ph.D. in Machine Learning, Computer Science, or related field. 
 
5-7 years of experience training and shipping NLP and computer vision focused machine learning models in products. 
 
Proven experience taking LLM-based and Agentic AI systems from prototype to production including orchestration, automatic evals and reliability considerations a plus. 
 
Experience with personalized ranking and scoring is a plus. 
 
Experience with vision tasks is a plus. 
 
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. 
 
Extensive knowledge in theory and practice of machine learning and deep learning techniques. 
 
At least 3 years of experience training and deploying machine learning models. 
 
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. 
 
Committed 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 $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.

Machine Learning Scientist, News Team

Explore 83+ Executive assistant graphics games machine learning in Cupertino this March. Find roles across top companies and apply now to boost your career.