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

aiml staff ml engineer responsible ai

Apple

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

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple&rsquo;s ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. 
 
We are currently seeking an experienced and influential Data Science Leader to grow the AIML Data Operations Annotations Analytics team and function. This position will lead a team of data engineers and scientists to establish top-line health metrics, identify key growth drivers, and recommend operational and business optimizations through scalable, responsive, and interpretable research and analyses. 
 
Description 
 
The ideal candidate for this role is an experienced manager with deep expertise in analytics and experimentation, excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at leading teams to surface and communicate key data insights that improve performance and customer experience at a global scale.&quot;,&quot;responsibilities&quot;:&quot;Establish a center of excellence for Data Operations Data Science team by uncovering business-actionable insights in collaboration across our customer groups as well as the Operations team. 
 
Oversee large complex projects from conception to completion, develop roadmaps and requirements, identify risks and develop contingency plans, evaluate impact, and regularly communicate status to executives. 
 
Establish, enhance, and socialize key operational metrics that accurately represent the business state of health. 
 
Lead proactive analyses identifying key drivers of metrics, and make recommendations that optimize performance. 
 
Develop reporting measures to expand the portfolio of self-service dashboards and reports to inform, enable, and empower relevant stakeholders. 
 
Draft schema and instrumentation requirements to enrich operational datasets for new projects, etc. 
 
Identify key factors that lead to improving productivity and quality. 
 
Build a holistic view of analyst behaviors across the various platforms, and identify synergies that drive a more positive analyst experience and engagement. 
 
Develop, recruit, and train a diverse team of high-performing data engineers and scientists focused on uncovering insights from large-scale data across all aspects of the operation. 
 
Preferred Qualifications 
 
Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. 
 
Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations 
 
Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization 
 
Experience in managing data science or analytics teams in AI &amp; ML annotations and collections areas. 
 
Passion for AIML and Operations, with a consistent track record of operational results. 
 
Minimum Qualifications 
 
Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. 
 
4+ years of experience in managing data science, analytics, or data operations teams 
 
4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals 
 
Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization 
 
Mastery in SQL-based languages, and proficiency in at least one large-scale data languages 
 
Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R 
 
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 $176,600 and $313,500, 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.

Data Science Leader, AIML Data Operations

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)

The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple&rsquo;s high expectations with high performance to deliver a huge variety of entertainment in over 37 languages to more than 175 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. 
 
Thanks to Apple&rsquo;s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep dedication to strengthening Apple&rsquo;s privacy policy, one of Apple&rsquo;s core values. Although services are a bigger part of Apple&rsquo;s business than ever before, these teams remain small, nimble, and cross-functional, offering greater exposure to the array of opportunities here. 
 
Description 
 
The Rights &amp; Pricing engineering team provides the Apple Services platform for distribution rights by country, calculation and management of prices including retail, offers, wholesale, and tax. Rights &amp; Pricing also includes Partner Onboarding which includes the vendor application process, signing of digital contracts, collection of bank account and tax information, and business systems that manage the presentation layers of payments, invoicing, and financial reporting. This is a key team for Apple Services Engineering! 
 
As a Senior Applied AI/ML Engineer, you will shape how our team adopts AI/ML-from rapid prototyping to production systems at scale. You'll identify high-impact opportunities, build proof-of-concepts to validate ideas, then leverage Apple's internal ML infrastructure to productionize solutions serving millions of users. Beyond building, you'll establish best practices, mentor engineers to become AI-native practitioners, and help define our AI/ML culture for years to come. 
 
Sound like a great opportunity? Join us!&quot;,&quot;responsibilities&quot;:&quot;Lead AI/ML initiatives end-to-end-from prototyping and experimentation to production deployment 
 
Develop and fine-tune models (including LLMs) for rights management, pricing optimization, and partner operations 
 
Create compelling demos that communicate AI capabilities and inform product direction 
 
Build reusable patterns and documentation that enable engineers to incorporate AI/ML into their work 
 
Partner with product and business teams to identify automation opportunities 
 
Establish evaluation frameworks and standards for responsible AI development 
 
Mentor engineers and influence AI/ML adoption across the team 
 
Preferred Qualifications 
 
Experience establishing AI/ML practices in teams new to AI/ML 
 
Background in optimization, pricing algorithms, or financial systems 
 
Experience with privacy-preserving ML techniques 
 
Minimum Qualifications 
 
BS/MS/PhD in a quantitative field (Computer Science, Math, Statistics, Physics, etc.) and 5+ years of industry experience 
 
Proven track record of leading successful AI/ML projects from conception to deployment 
 
BS/MS/PhD in a quantitative field (Computer Science, Math, Statistics, Physics, etc.) and 5+ years of applied AI/ML experience 
 
Demonstrated experience solving business problems with the help of AI/ML, developing reliable evaluation frameworks to assess model efficiency, and scaling operations to large-scale production deployments 
 
Strong proficiency with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) 
 
Experience with ML pipelines (feature engineering, training, serving, monitoring) 
 
Proficiency in Python and experience with distributed systems 
 
Proven ability to mentor and influence engineering teams on AI/ML adoption and leading mission-critical initiatives 
 
Excellent communication skills with ability to translate technical concepts for diverse audiences 
 
Hands-on experience with LLMs, including: developing evaluation frameworks, fine-tuning, prompt engineering, RAG architectures, and AI API integration 
 
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 $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. Applied AI/ML Engineer, Rights and Pricing - Apple Services Engineering

Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! 
 
As part of Apple's AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation. The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges. 
 
Description 
 
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems. The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem. 
 
You will work with a multidisciplinary team to actively participate in Apple Intelligence&rsquo;s data-model co-design and co-develop practice. Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple. You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models. 
 
Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. 
 
Your work may span a variety of directions, including but not limited to: 
 
Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data. 
 
Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets. 
 
Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models. 
 
Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data. 
 
Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments. 
 
Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering. 
 
Preferred Qualifications 
 
3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality. 
 
Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, , etc) 
 
Strong problem-solving and communication skills. 
 
Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas 
 
Minimum Qualifications 
 
Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning. 
 
Deep understanding in multi-modal foundation models. 
 
Staying on top of emerging trends in generative AI and multi-modal LLM. 
 
Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AIML - Machine Learning Engineer, Data and ML Innovation

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

Play a role in bringing Apple technology to the world. We are looking for a hardworking, dedicated, and results-oriented Animation Engineer. You would join a team building simulation art assets. 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. 
 
Description 
 
As a Senior Simulation Machine Learning Engineer, you will join an innovation-driven team advancing Apple&rsquo;s simulation and synthetic data technology to support a wide range of AI/ML initiatives. You will design, prototype, and productionize systems that generate high-quality 3D scenarios and multi-modal synthetic datasets used throughout Apple&rsquo;s ML ecosystem. 
 
We&rsquo;re looking for an engineer with deep experience, strong ML intuition, and the ability to turn ambitions into robust tools. You should be comfortable exploring new ideas, iterating quickly, and driving solutions from prototype to polished implementation. Collaboration is essential - you will partner closely with engineers, animators, technical artists, and ML researchers across the organization. You will play a key role in shaping Apple&rsquo;s next generation of AI/ML capabilities by defining how simulation data is generated, validated, and delivered at scale.&quot;,&quot;responsibilities&quot;:&quot;Design and implement systems for generating, varying, and validating 3D simulation scenarios, leveraging generative models, procedural techniques, and diverse data sources to create environments, human animation and behavior, rendering and lighting. 
 
Develop prototypes and production systems that expand our capabilities and scale across teams 
 
Partner with engineers, ML researchers, and content creators to deliver efficient, reliable pipelines. 
 
Develop tools and APIs that enable internal users to easily author, manage, and execute simulations. 
 
Debug and resolve issues across scenario generation, simulation, and data quality. 
 
Identify architectural improvements and drive long-term strategy for scenario generation and simulation-based data pipelines. 
 
Stay current with advances in world models, generative video/3D models, neural rendering, procedural content generation, and simulation technologies. Introduce promising methods into production workflows. 
 
Preferred Qualifications 
 
Familiarity with USD format and tools 
 
Experience with neural rendering, 3D generative models, learned simulation techniques. 
 
Experience guiding technical direction, influencing architecture in a software engineering team 
 
Understanding of real-time and offline rendering pipelines. 
 
Experience with animation 
 
Experience with complex industrial or commercial simulation systems or large-scale data generation workflows. 
 
Minimum Qualifications 
 
5+ years of professional experience in ML, simulation, graphics, or related fields. 
 
Strong proficiency in Python and modern machine learning techniques. 
 
Working knowledge of C++ and robust software engineering fundamentals. 
 
Experience with LLMs, VLMs, diffusion models, world models, or similar generative/modeling frameworks. 
 
Experience with 3D data, scene representations, and rendering fundamentals. 
 
Strong communication and cross-functional collaboration skills are key. 
 
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 Simulation Machine Learning Engineer - Special Projects

Explore 81+ Aiml staff ml engineer responsible ai in Cupertino this March. Find roles across top companies and apply now to boost your career.