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gen ai research engineer

research engineer

Apple

<div>
 
 Summary
 
 
 
 The Health Personalization team builds outstanding technologies to support AI-driven health experiences that provide our users with understandable, actionable information about their health and wellbeing, and support them to achieve their health and wellness goals. As part of the larger Sensor Software &amp; Prototyping team, we take a multimodal approach using a variety of sensors and user data signals across hardware platforms, such as camera, wearables, and natural language user input. We are committed to building deeply personal features that understand, anticipate, and adapt to users&rsquo; behaviors and uphold Apple&rsquo;s deep commitment to privacy as a fundamental human right. Our team values expertise, innovation, and inclusivity. Come join us!
 
 
 
 Description
 
 
 
 In this role, you will develop, evaluate, and continuously improve Generative AI systems for real-world health and wellbeing applications. You&rsquo;ll apply deep expertise in health-focused machine learning alongside rigorous evaluation methodology. Your work will directly shape customer-facing health products by turning evaluation results into scalable pipelines that drive data-informed model improvements across the full ML lifecycle. You&rsquo;ll collaborate with a fast-growing team of top scientists and engineers to build generative systems that meet the highest standards of quality, reliability, and alignment with human intent.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop and improve generative AI systems for health and wellbeing applications across the full feature development lifecycle.
 </li>
 <li>
 Independently design, run, and analyze ML experiments to deliver measurable quality improvements.
 </li>
 <li>
 Design and implement evaluation frameworks&mdash;including automated assessment tools, LLM-based autograders, and benchmarks&mdash;with rigorous validation of their reliability and validity.
 </li>
 <li>
 Apply statistical and interpretability methods to analyze evaluation data and model behavior, identify failure modes through adversarial testing and failure analysis, and drive actionable improvements.
 </li>
 <li>
 Build and maintain scalable, reusable pipelines for inference, training, and evaluation, integrated with large-scale data workflows.
 </li>
 <li>
 Work cross-functionally with engineers, clinical experts, designers, and hardware and software teams to bring features into production with real-world applicability and impact.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 BS and a minimum of 3 years relevant industry experience
 </li>
 <li>
 Proficiency in Python and ability to write clean, performant code and collaborate using standard software development practices.
 </li>
 <li>
 Technical expertise and hands-on experience crafting and evaluating machine learning solutions for user-facing applications.
 </li>
 <li>
 Experience applying a scientific approach to drive machine learning innovation: developing hypotheses, designing experimentation strategies, and guiding data generation / collection / evaluation (e.g. user studies, annotation workflows, A/B tests).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 MS and a minimum of 3 years of relevant industry experience or PhD in relevant fields.
 </li>
 <li>
 Strong communication skills, comfort working with multiple engineering teams on complex projects, and experience contributing to an inclusive team culture.
 </li>
 <li>
 Technical expertise in generative AI domains, such as large language model architectures, memory representation, planning, knowledge retrieval, natural language understanding.
 </li>
 <li>
 Hands-on experience developing complex generative AI systems in an applied setting, e.g. experience with post-training techniques like supervised fine-tuning, adapter training, and reinforcement learning from human feedback.
 </li>
 <li>
 Experience with LLM-based evaluation systems and rigorous, evidence-based approaches to test development, e.g. quantitative and qualitative test design, reliability and validity analysis.
 </li>
 <li>
 Customer-focused mindset with experience or strong interest in building consumer digital health and wellness products.
 </li>
 <li>
 Knowledge of health informatics or experience with complex health data sources (e.g. EHRs, medical ontologies, wearables)
 </li>
 <li>
 Experience with building and deploying performant and scalable systems (full-stack)
 
 
 </li>
 </ul>
 
 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&rsquo;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&rsquo;s Employee Stock Purchase Plan. You&rsquo;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 &mdash; 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.
 
 
 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.
 
 
 Apple accepts applications to this posting on an ongoing basis.
 
 
</div>

Gen AI Research Engineer

As a Research Engineer you will play a critical role to advance Apple Foundation Models to the next level. You will help turn research breakthroughs into tangible values and deliver state-of-the-art model capabilities to support Apple Intelligence. You will drive innovations with data intelligence from variety of sources, combined with applied research in the areas of LLMs, Visual Understanding, Agentic &amp; Reasoning models, and image &amp; video generation to delight Apple&rsquo;s customers 
 
Description 
 
In this role, you will focus on: 
 
Modeling: design and build models, feature engineering that help achieve desired outcome in multiple modalities across pre-train, mid-train and post-train stages 
 
Evaluation: be able to go deep and perform model &amp; data analysis to hill climb on general as well as specific model capabilities 
 
Optimization: implement scalable data pipelines, optimize models with data intelligence for performance and efficiency, and ensure they are production ready 
 
Data: be obsessed with data quality, work with large amounts of data and build effective data processing steps that are proven to drive results 
 
Learn and collaborate: work closely with software engineers, data scientists and program managers to understand complex user-facing feature challenges. Take part in to share frontier knowledge in the field and maintain high-quality engineering practices 
 
Preferred Qualifications 
 
In-depth hands-on experience with transformer models and deep reinforcement learning. 
 
Familiarity with pre-training and fine-tuning multi-modal LLMs. 
 
Ability to work collaboratively with cross-functional teams as a good communicator with clear and concise, active listening and empathy skills. 
 
Self-motivated and curious, stay on top of the relevant frontier technologies. 
 
Have demonstrated creative and critical thinking with an innate drive to improve how things work. 
 
Have a high tolerance for ambiguity. 
 
Minimum Qualifications 
 
Master or PhDs Degree in Computer Science, Machine Learning, Data Science or a related field. 
 
Demonstrated proficiency in ML frameworks like PyTorch or Tensorflow. 
 
Proven track record in Deep Learning research or industry. 
 
Strong foundation in Computer Science and software engineering with excellent problem-solving &amp; analytical skills. 
 
Demonstrated critical thinking and ability to drive clarity from ambiguity. 
 
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 Research Engineer, Data and Machine Learning Innovation

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create, what we deliver is the result of us making each other&rsquo;s ideas stronger. 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. Text generation is a key enabler for accelerated text input and intelligent interaction on Apple platforms. 
 
Our team is working on redefining user interaction with generative models for text generation. If you want to be part of an ambitious, organized and collaborative team that ships user experiences with pioneering ML, partnered with the best UI designs, come join the Input Experience NLP team. Our work has been highlighted in multiple WWDC keynotes including Intelligent Input in 2023, Writing Tools and Smart Reply in 2024! We exemplify Apple&rsquo;s outstanding integration of hardware and software to create seamless input experiences. You will have the opportunity to go from building offline pioneering NLP models to optimization of the models for different hardware backends and user interfaces that make the experience magical. Our vision always includes a deep dedication to strengthening Apple&rsquo;s privacy policy by achieving all of the above on device with powerful Machine Learning. 
 
Description 
 
As a key pillar of Apple Intelligence, input experience will be the main area where you bring impact to billions of users with your Machine Learning expertise, engineering passion, and programming skills. You will work with a hard-working and dedicated set of outstanding ML and software engineers on a wide range of most advanced text generation technologies such as context-augmented text rewriting, safety-controlled text composition, free-form text transformation, personalized smart interactions, etc. Our team has been working in this area for years and own the NLP and ML text input stack for the keyboard input that includes auto correction, predictive typing on all Apple platforms. We also work on full stack ML applied to NLP and expose these key technologies across Apple on device and also to third party applications through the Natural-Language framework. If you want to amplify your strong Machine Learning and NLP skills into user experiences that will reach every person around you, this is the perfect opportunity! 
 
Preferred Qualifications 
 
Familiar with model compression algorithms including quantization, pruning, distillations, and experience optimizing large diffusion models or language models 
 
Experience with hardware architecture, software &amp; hardware co-design 
 
Experience with deploying large ML models in real world products 
 
Actively programming with high-quality codes across complex and large repositories 
 
Familiar with common NLP algorithms and applications, including tokenization, language modeling, text decoding, text classifier etc 
 
Experience of multi-modal modeling, presenting plans, progress, and results or demos regularly and concisely 
 
Minimum Qualifications 
 
Strong machine learning fundamentals 
 
Knowledge of ML techniques such as implementing basic optimizers, applying parameter tuning in model training and evaluation, and reproducing research experiments 
 
Strong programming and communication skills 
 
Ph. D. in CS/EE/Physics/Statistics/etc. (or Masters with 4 years of proven experience) 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Machine Learning Research Engineer, Text Generation

<div>Are you a seasoned engineer passionate about transforming cutting-edge ML research into production systems that improve lives? The Applied Sensing &amp; Health team is revolutionizing health and fitness technology, empowering millions to live healthier, more active lives. We develop sophisticated machine learning algorithms and sensor fusion systems that track human motion, turning raw data into meaningful, actionable insights for Apple users worldwide. 
 
Join a team of world-class experts dedicated to applied ML in human movement and health. Here, you'll bridge the gap between research and production-translating novel ML approaches into robust, high-performance systems that delight and inspire millions of Apple customers every day. This is a unique opportunity to blend ML expertise with systems engineering in service of a mission that truly matters. 
 
Description 
 
The Applied Sensing &amp; Health team delivers critical Health and Fitness features for Apple Watch, iPhone, and other Apple products. We are seeking a versatile applied ML engineer who thrives at the intersection of research and production systems. In this pivotal role, you will: 
 
<ul><li>Translate cutting-edge ML research into optimized, production-ready algorithms for sensor data processing</li></ul> 
<ul><li>Design and conduct data-driven research to improve fitness and health algorithms, analyzing large-scale sensor datasets to derive actionable insights</li></ul> 
<ul><li>Implement ML models and pipelines end-to-end-from prototyping in Python to production deployment in C++</li></ul> 
<ul><li>Collaborate with research scientists to evaluate new approaches and drive them toward production</li></ul> 
<ul><li>Build tools and infrastructure for data analysis, model evaluation, and algorithm validation</li></ul> 
Your work will span the entire ML workflow: researching novel approaches, prototyping solutions, analyzing data at scale, and implementing robust production systems. You'll work closely with ML researchers, health scientists, and multi-disciplinary teams across Apple, delivering best-in-class systems that impact millions of users daily. 
 
Preferred Qualifications 
 
A demonstrated passion for health and fitness, driven to empower users through technology 
 
Experience with sensor data analysis, signal processing, or time-series modeling 
 
Knowledge of biomechanics, exercise physiology, or human movement analysis 
 
C++ programming skills with ability to optimize ML algorithms for production systems, including performance tuning and memory management 
 
Understanding of systems-level programming concepts including multi-threading,concurrency, and real-time constraints 
 
Publications or demonstrated research contributions in ML, computer vision, or related areas 
 
Track record of shipping ML-powered products or features at scale 
 
Minimum Qualifications 
 
MS or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, or related field 
 
3+ years of experience applying ML to real-world problems. 
 
Strong foundation in machine learning with hands-on experience across the full ML workflow: research, experimentation, model development, evaluation, and production deployment 
 
Proficiency in Python for ML development, data analysis, and statistical modeling; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn, etc.) 
 
Experience translating research papers or prototypes into production-quality code 
 
Strong data analysis skills: comfortable working with large datasets, conducting experiments, visualizing results, and drawing meaningful conclusions 
 
Demonstrated ability to work independently on research problems while also collaborating effectively with cross-functional teams 
 
Familiarity with modern GenAI-enabled development workflows and tools (e.g., AI-assisted coding, automated code generation, intelligent debugging), coupled with a strong aptitude for learning and adapting to evolving technologies. 
 
Intellectual curiosity and willingness to dive deep into both algorithmic details and implementation challenges 
 
Exceptional communication skills; able to explain complex technical concepts to diverse audiences 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Senior Machine Learning Engineer, Applied Sensing & Health

Join Us in Shaping the Future of Generative AI at Apple! Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Machine Learning Engineer to shape the future of responsible AI for the next generation of generative features. In this role, you will lead the responsible AI lifecycle end-to-end: assessing risks, defining policies, developing mitigation strategies, and driving continuous improvements. Your work will directly influence how we evaluate, align, and monitor the safety of large language and multimodal models. As part of Apple&rsquo;s Responsible AI group within the Human-Centered Machine Intelligence (HCMI) organization, you&rsquo;ll collaborate with cross-functional partners to minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. Together, we&rsquo;ll anticipate challenges, measure real-world impact, and deliver trusted, high-quality AI experiences to users around the globe. You&rsquo;ll also contribute to forward-looking research in fairness, robustness, uncertainty, and safety - pushing the boundaries of responsible AI at scale. 
 
Description 
 
Our team leads Responsible AI initiatives for global generative AI products, operating at the intersection of policy, product, and GenAI. We're seeking candidates who will shape safety policies in partnership with leadership, design, engineering, legal, and regulatory stakeholders-ensuring our safeguards advance both user protection and product innovation. 
 
These individuals will work on architecture mitigation and safety alignment strategies for generative models, drive integration in production. Additionally, they will work on developing models, tools, datasets, and evaluation methods to monitor, diagnose failures, and improve the safety of generative models throughout the deployment lifecycle. We do all these by incorporating human and automated feedback, post-launch to continuously improve feature safety and user trust. 
 
Preferred Qualifications 
 
BS, MS, or PhD in Computer Science, Machine Learning, or related field, or equivalent experience 
 
Proven success contributing in a highly cross-functional environment 
 
Experience shipping complex AI systems at global scale 
 
Background in model explainability, uncertainty estimation, or interpretability 
 
Curiosity and research interest in fairness, bias, and the societal impacts of generative AI 
 
Passion for building innovative, high-impact products that draw upon interdisciplinary skills 
 
Minimum Qualifications 
 
3+ years of proven ability in machine learning, including work with generative models (Transformers, LLMs, VLMs), NLP, or Computer Vision 
 
Proficiency in Python and data science libraries (e.g. Pandas) with strong skills in data analysis, visualization, and applied ML workflows 
 
Excellent interpersonal skills and proven ability to translate sophisticated technical insights for cross-functional partners, senior leadership, and executives 
 
Strong analytical and independent problem-solving skills, with ability to navigate ambiguity 
 
Experience designing and supporting human and automated evaluations, particularly with complex, nuanced, or multi-labeled data 
 
Hands-on experience collecting and analyzing language, vision, or multimodal datasets 
 
Background in failure analysis, quality engineering, or robustness testing for ML-driven systems 
 
Must be comfortable working with sensitive or potentially offensive content 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AIML - Staff ML Engineer, Responsible AI

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

Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. 
 
The people here at Apple don&rsquo;t just create products - they create 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. Join Apple, and help us leave the world better than we found it. 
 
It takes deeply dedicated, intelligent individuals to maintain and exceed the high expectations at Apple. The Product Operations team is looking for an extraordinary engineer to join our team. You will help design and implement our machine learning strategy to the substantial supply chain and help build the future of our manufacturing systems and smarter factories. We will be collaborating and working with multi-functional teams and applying algorithms to large-scale data. 
 
Description 
 
Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment! 
 
You will also perform ad-hoc statistical analyses. You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences including executives. 
 
Preferred Qualifications 
 
Proven experience in LLM and LMM development, fine-tuning, and application building. Experience with agents and agentic workflows is a major plus. 
 
Experience with modern LLM serving and inference frameworks, including vLLM for efficient model inference and serving. 
 
Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration. 
 
Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn. 
 
Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus. 
 
Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their optimization for low-latency inference. 
 
Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. 
 
Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus. 
 
Proven experience in leading and mentoring teams is a plus. 
 
Minimum Qualifications 
 
3+ years of experience in machine learning algorithms, statistics, and data mining models, with an emphasis on large language models (LLM) or large multimodal models (LMM). 
 
Master&rsquo;s degree in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering, 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 $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.

LLM Machine Learning Engineer

Explore 71+ Research engineer in Cupertino this March. Find roles across top companies and apply now to boost your career.