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aiml - machine learning engineer, data and ml innovation

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

ai/ml engineer: system rf data ecosystem

aiml - ai software engineer, evaluation Jobs in Cupertino

aiml - ai software engineer, evaluation

aiml - applied ml engineer, responsible ai Jobs in Cupertino

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

aiml - machine learning engineer, mlr Jobs in Cupertino

aiml - machine learning engineer, mlr

ml systems engineer

Apple

The Siri Team at Apple is actively looking for a highly motivated Systems Software Engineer to contribute to and build Apple's future technologies that power delightful Siri experiences supercharged with Apple Intelligence. The successful candidate will be a skilled software engineer with strong ML fundamentals who enjoys problem-solving and is comfortable with designing, building, and optimizing system software that integrates machine learning capabilities. 
 
Our team builds high-quality software that powers delightful Siri-based experiences in the Apple ecosystem. We value passion for excellence and a deep commitment to building high-quality software. If you want to impact millions of customers around the world by working on the most advanced technology solutions, we want to talk to you. 
 
Description 
 
As a Machine Learning Systems Engineer in the Siri Group at Apple, you will work at the intersection of software engineering and machine learning, partnering with cross-functional teams to solve high-impact problems on Apple products.&quot;,&quot;responsibilities&quot;:&quot;Integrating ML models into production software pipelines with focus on performance and reliability 
 
Building and optimizing infrastructure for ML model evaluation, analysis, and deployment Collaborating with ML engineers to understand model requirements and translate them into efficient system implementations 
 
Optimization of existing systems for ML workloads and debugging complex software-ML integration issues 
 
Working cross-functionally to drive requirements from concept through feature launch 
 
Writing clean, maintainable production code with comprehensive documentation and tests 
 
Contributing to architecture decisions, design reviews, and peer code reviews 
 
Acting as a force-multiplier by enabling both engineering and ML team members to be more productive 
 
Preferred Qualifications 
 
Demonstrated experience building production-quality software 
 
Experience building ML infrastructure, evaluation pipelines, or training systems 
 
Familiarity with ML frameworks (Core ML, PyTorch, TensorFlow) and model optimization techniques 
 
Minimum Qualifications 
 
Strong programming skills in Swift / C++ / Objective-C 
 
Solid understanding of machine learning concepts, model inference, and ML system design principles 
 
Experience developing and optimizing algorithms that run efficiently on resource-constrained platforms 
 
Passionate about delivering high-quality products, comfortable with ambiguity, intellectually curious and driven to find creative solutions 
 
Ability to thrive in collaborative environments with multiple cross-functional teams and communicate clearly with both engineering and ML teams 
 
BS (or higher) in Computer Science, Machine Learning, or related disciplines 
 
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.

Machine Learning Systems Engineer, Siri Runtime Systems and Interaction

<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

At Apple, we work every day to create products that enrich people&rsquo;s lives. Our Ad Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. 
 
The Machine Learning Platform team&rsquo;s mission is to empower Ad Platforms teams to build and scale the innovative ML systems that deliver highly optimized advertising content to consumers. Are you a results-oriented and versatile engineer who can excel in an Agile environment? You will work closely with engineers and data scientists to design, develop, and build world-class platform capabilities that will enable Ad Platforms teams to improve and scale our ML features, models, and applications. 
 
Description 
 
The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Ad Platforms teams. As a key contributor to this team, you will design and develop secure and scalable back-end systems. You will enjoy building high-performing, elegant systems from the ground up, in close partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solution for the interesting challenges we get to tackle here. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve. You will play a meaningful role building machine learning products which deliver on Apple's privacy commitments and change the way advertising works with data. 
 
Join us and contribute to a culture that emphasizes reliability, simplicity, and scalability. You will join a team of world-class machine learning engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing each other&rsquo;s growth and supporting each other in delivering for our customers! 
 
Preferred Qualifications 
 
PhD, MS, or BS in computer science or a related field, with 8+ years of experience in machine learning and strong software engineering skills. 
 
Minimum Qualifications 
 
Proven track record of designing and operating large-scale, low-latency ML Serving platform supporting real-time and batch inference. 
 
Experience of model quantization, tensor parallelism, and inference optimizations (e.g ONNX Runtime, TensorRT, vLLM). Actively led evaluation and adoption of such technologies. 
 
Experience working on distributed systems (e.g Ray, high-throughput RPC systems) to support scalable inference workloads and hybrid online/offline serving patterns. 
 
Prior experience in advertising industry, federated learning and privacy-preserving ML techniques. 
 
Recognized as a technical leader and mentor, supports the growth of engineers through code/design reviews, working groups, and internal knowledge sharing. 
 
Experience building machine learning models using frameworks like PyTorch, TensorFlow. Provides technical guidance and mentorship on best practices. 
 
Led development of foundational AI/ML platforms and tooling including Feature Stores, Vector DB to accelerate team productivity and model lifecycle management. 
 
Experience performance tuning &amp; trouble-shooting. 
 
Pride in building tools to automate routine tasks, organized &amp; detailed. 
 
Passionate about developer experience builds abstractions, automation tools, and reusable components to streamline ML workflows and reduce operational burden. 
 
Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams. 
 
Results oriented with a desire to work in a fast-paced and collaborative work environment. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Machine Learning Engineer - Ads ML Infrastructure

As part of Apple&rsquo;s Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. We are looking for highly motivated, result-oriented engineers with a strong background in system engineering and software development to join our team. In this position you will work with researchers and software engineers across the Machine Learning Research group to build scalable, distributed training and research pipelines. 
 
Description 
 
Work with researchers and software engineers on the MLX team to build high performance and scalable software addressing novel ML research algorithms - Apply solid software engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes. Be part of a small team dedicated to advancing ML algorithms and techniques on Apple silicon - Is this you? If so we'd love to hear from you. 
 
Preferred Qualifications 
 
3+ years in C++ and Python programming 
 
3+ Expert in GPU programming. 
 
Experience with Swift programming is a plus 
 
Experience and passion to circumvent unexpected roadblocks 
 
Past research experience is a plus 
 
Minimum Qualifications 
 
2 years in C++ and Python numerical computing 
 
2 years in GPU programming 
 
Experience with open-source projects and collaborative software development. 
 
Experience with Machine Learning algorithms. 
 
Excellent communication skills. 
 
B.S., M.S. or PhD in Computer Science with a strong mathematical background 
 
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 - Machine Learning Engineer, MLR

The Sensing and Connectivity team is committed to developing innovative technology that enhances user safety and makes our devices more intelligent. We are exploring how the incredible sensing, processing, and connectivity of iPhone can be leveraged to detect nearby hazards and deliver timely alerts. We are seeking a Machine Learning Engineer to own the design, deployment, and operation of ML models that run across heterogeneous mobile and edge devices. In this role, you will build production ML systems end-to-end including feature design, training, on-device inference, monitoring, and continuous improvement based on real-world telemetry. 
 
Description 
 
As a Machine Learning Engineer on the crowdsourced sensing team, you will develop, deploy, and maintain machine-learning models that operate reliably in noisy, real-world environments and at global scale.&quot;,&quot;responsibilities&quot;:&quot;Own ML models end-to-end, including feature design, training, evaluation, deployment, and iteration based on live telemetry 
 
Design and implement low-latency, resource-efficient inference pipelines for on-device and edge-constrained environments 
 
Build simulation, replay, and regression frameworks to evaluate model performance under real-world conditions 
 
Analyze large-scale, real-time sensor telemetry to detect model degradation, bias, and distribution shift 
 
Define and track model-level metrics (accuracy, latency, power, memory) and implement monitoring and rollback strategies 
 
Collaborate closely with hardware, firmware, data engineering, and software teams to prototype new capabilities and ship production-quality ML systems to millions of devices worldwide 
 
Preferred Qualifications 
 
Experience with real-time and/or large-scale data processing tooling (e.g. Kafka, Flink, Spark, etc.) 
 
Experience with sensor networks, IoT systems, or mobile sensing 
 
Experience with inertial sensing, time series analysis, signal processing, system identification 
 
Experience with multi-sensor fusion (accelerometer, gyroscope, barometer, GNSS) 
 
Experience monitoring ML systems in production, including drift detection, regression analysis, and iterative retraining 
 
Minimum Qualifications 
 
Graduate degree in Computer Science, Data Science, or equivalent experience. 
 
5 years of experience with ML training frameworks (e.g., PyTorch, TensorFlow) and model evaluation methodologies 
 
5 years of experience designing and deploying machine-learning models in production systems 
 
3 years of experience handling noisy, heterogeneous, crowdsourced sensor data 
 
3 years of experience designing and deploying ML models on resource-constrained devices 
 
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 - Crowdsourced Sensing

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

Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. 
 
We are looking for a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning models optimized for on-device training and inference. You will partner with a variety of subject experts across the company to build intelligent features and personalized maps experiences. This role involves collaborating with various partners, from engineers to designers, to architect the best overall system. 
 
If you are excited about delivering intelligent, responsive, and personalized experiences to millions of users, we invite you to apply for the job and join us! 
 
Description 
 
Apple Maps Client is looking for a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning models optimized for on-device training and inference. Partnering with the Apple Neural Engine team to profile model performance, identify bottlenecks, and push the limits of what's possible on-device. Crafting technical design documents for new ML features is a core part of this role- outlining model architecture choices, performance targets, and deployment strategies.Your work includes building integration code that connects ML models with platform frameworks and APIs. You will lead cross-functional team projects. 
 
Beyond individual contributions, you will shape how the team approaches on-device ML. You will establish evaluation frameworks, define quality benchmarks, and write architecture documents that guide the team's direction. You will review code, mentor engineers, and help build a team culture rooted in technical rigor and collaboration. 
 
&quot;,&quot;responsibilities&quot;:&quot;Architect and deliver on-device ML solutions that meet strict latency, memory, power, and accuracy requirements across Apple platforms. 
 
Partner with Services teams on model delivery and update mechanisms( OTA model updates, staged rollouts) and define hybrid inference strategies (on-device vs. server-side). 
 
Collaborate cross-functionally with services, platform, and design teams to influence roadmaps, framework capabilities, and user experiences. 
 
Mentor and grow junior and mid-level ML engineers, fostering a culture of technical excellence, curiosity, and inclusive collaboration. 
 
Champion privacy by design - ensuring ML systems uphold Apple's commitment to user privacy through on-device processing, differential privacy, and minimal data collection. 
 
Preferred Qualifications 
 
Master&rsquo;s, or PhD in Computer Science, Machine Learning, Electrical Engineering, or a related field - or equivalent practical experience. 
 
Familiarity with Swift, and Objective-C. 
 
Experience building and operating end-to-end ML pipelines for on-device models - including training, evaluation, conversion, validation, A/B testing, and OTA model delivery. 
 
Familiarity with federated learning, differential privacy, and on-device training/fine-tuning paradigms. 
 
Minimum Qualifications 
 
Bachelor&rsquo;s in Computer Science, Machine Learning, Electrical Engineering, or a related field - or equivalent practical experience. 
 
Strong software engineering fundamentals in an object-orient programming language, with emphasis on writing production-grade, testable, and maintainable code. 
 
Experience with Systems Programming (frameworks/libraries/daemons). 
 
7+ years of industry experience in machine learning engineering, with at least 2 years focused on on-device/edge ML deployment. 
 
Strong proficiency in ML frameworks and tool chain such as PyTorch, TensorFlow, Core ML, Foundation Models Framework and MLX. 
 
Proven track record of shipping ML models into production at scale on mobile or embedded platforms. 
 
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.

Staff Machine Learning Engineer : Platform Intelligence - Apple Maps

Explore 119+ Ml systems engineer in Cupertino this March. Find roles across top companies and apply now to boost your career.