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machine learning engineer

ml engineer maps navigation

Apple

Helping people travel safely is one of our primary functions here on Apple Maps. We are the traffic team at Apple Maps and our main mission is to deliver accurate travel times and incidents for the world in realtime. 
 
We want to make sure that our recommendations are as accurate and responsive to external factors as possible, and we are looking for a machine learning engineer to help us provide the most accurate and reliable navigation experience possible! 
 
Description 
 
As a Machine Learning Engineer on our team you'll develop and optimize machine learning models which power our traffic predictions and navigation products. Your work will ensure that Apple Maps provides the most accurate and reliable navigation experience possible, while handling and working with high volumes of live and historical data. On our team, you'll be part of a dynamic, multi-functional team of software and ML engineers, data scientists, and traffic experts to help set the future direction of our products. Your responsibilities will include prototyping domain-specific algorithms, and rapidly evaluating their quality and leading the production implementation effort. &quot;,&quot;responsibilities&quot;:&quot;Designing, implementing, and maintaining algorithms and ML models for traffic prediction to support navigation decisions 
 
Creating new technical capabilities that serve as building blocks for new and improved features that surprise and delight our customers 
 
Working across multiple engineering, data science, UX, and product teams to help set the future direction of the product 
 
Collaborating with data engineers to process and analyze extensive streams of location data in privacy-preserving fashion 
 
Developing and improving ML pipelines for model training, evaluation, and deployment in real-time and batch environments 
 
Continuously monitoring and improving model performance through experimentation and analysis 
 
Leading the iterative and data-driven research and exploration of new approaches for existing or new areas of consideration 
 
Communicating timelines and setting expectations with others under uncertainty 
 
Preferred Qualifications 
 
PhD 
 
Proficiency in Scala, Java, and/or C++ 
 
Proficiency in working with SQL/NoSQL databases 
 
Consistent record of deploying ML solutions validated through relevant industry experiences and/or publications in premier conferences or journals 
 
Experience with geospatial data analysis and modeling 
 
Domain expertise in transportation, navigation, or time series prediction 
 
Minimum Qualifications 
 
MS in Computer Science, Machine Learning, or related fields plus 5 years of experience. 
 
Strong programming skills in Python, with experience in ML frameworks such as PyTorch or Tensorflow 
 
Experience with serving and deploying ML models at scale using various tools such as Spark, Hadoop, etc. 
 
Excellent problem solving and analytical skills, valuing a scientific approach by using experimentation and critical thinking to drive and validate high-quality results 
 
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.

ML Engineer - Maps Navigation

We are looking for a Machine Learning Engineer who will be converting abstract, high-level goals into concrete, measurable requirements. They will be proposing, implementing, evaluating, and shipping diﬀerent AI/ML technologies and resulting data to achieve a given task. This role will be collaborating with various partners, including engineering orgs and designers to architect the best overall system. 
 
Description 
 
As a member of our team, you&rsquo;ll have the opportunity to work with a team of highly skilled engineers and scientists to bring new experiences to Apple Maps! This position requires a self-motivated engineer/scientist with strong technical and interpersonal skills. 
 
Preferred Qualifications 
 
Understanding of Knowledge graphs and their applications to entity matching 
 
Working knowledge of Deep learning and computer vision, are pluses 
 
Minimum Qualifications 
 
5+ years of experience in building large scale machine learning systems. 
 
Deep understanding of NLP fundamentals including embedding generation, text similarity, entity recognition. 
 
2+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, etc). 
 
Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Scala, Python, Java, or C++ 
 
Experience working with large scale and real world datasets 
 
Knowledge of Spark, Solr/Lucene, Cassandra, and related big data technologies 
 
Metrics focused and passionate about delivering models that render high quality results 
 
Familiarity with cloud platforms such as AWS, GCP, or Azure. 
 
Strong problem-solving, communication, and ability to collaborate with cross-functional teams. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Staff Machine Learning Engineer

<div>Our mission is to personalize the user experience on Apple devices based on where you go, when, and what those places mean to you. You're experiencing our work whenever you see a suggested location in Maps or Calendar, or browse your Memories in Photos or Journal. We're working for you whenever your phone engages Do Not Disturb While Driving or remembers where you parked. 
 
We're the Location Context team, and we build the location intelligence backbone powering Maps Visited Places, Siri location suggestions, and predictive features across the OS. We're looking for engineers who love solving hard problems at the intersection of location state estimation, on-device machine learning, and privacy-preserving systems. 
 
Are you excited by any of these challenges? 
 
<ul><li>Building location state estimators that fuse GPS, WiFi, IMU, and altimeter data to understand not just where users are, but what floor of a building they're on</li></ul> 
<ul><li>Designing ML models to infer the semantics of a place and forecast where the device will go next, entirely on-device with strict power and memory budgets</li></ul> 
<ul><li>Developing clustering algorithms and data pipelines that process billions of location events while preserving user privacy</li></ul> 
<ul><li>Optimizing system performance at massive scale-where a 1% edge case impacts 10 million devices and a power regression of 0.1% matters</li></ul> 
<ul><li>Collaborating with Maps, Siri, Photos, HomeKit, Journal, and Safety teams to power features that require deep contextual understanding</li></ul> 
If this sounds like you, read on. 
 
Description 
 
In this role, you'll develop the next frontier of location intelligence, in partnership with teams across sensing, Siri, Maps, and system frameworks. You'll work on problems from research through production deployment: 
 
Design and implement location state estimation algorithms that fuse multi-modal sensor data (GPS, WiFi positioning, accelerometer, altimeter, barometer) to build a rich understanding of user context and mobility patterns 
 
Develop on-device machine learning models for place inference, route prediction, and behavioral forecasting that operate within strict power and memory constraints 
 
Build data processing pipelines that aggregate, filter, and cluster real-world sensor data on mobile devices, balancing intelligence with resource constraints 
 
Implement sophisticated algorithms for background location awareness and semantic understanding - then integrate them into production code running on hundreds of millions of devices 
 
Collect and analyze real-world datasets to train models, validate performance, and iterate on algorithm design 
 
Test rigorously. Dogfood your work. Collect metrics across diverse user populations and edge cases. An issue that affects 1% of a billion devices is a big issue. 
 
Optimize for the full system: CPU, memory, power consumption, and radio usage. Our software needs to provide a high level of intelligence while sipping battery-this is one of the most exciting engineering challenges in mobile computing. 
 
A dedication to users' privacy and security is core to how Apple does business. We want their devices to exhibit the high level of intelligence and proactivity that can only come from deep contextual understanding. We don't want their sensitive data coming back to Apple or being exposed to third parties. Other companies solve similar problems in very different ways. Our way is more work. We believe it's worth it. 
 
&quot;,&quot;responsibilities&quot;:&quot;Conceptualize, explore, and define new inferential and predictive location- and motion-based capabilities for Apple's platforms 
 
Design and implement location state estimation algorithms, sensor fusion techniques, and ML models for on-device inference 
 
Develop clustering and pattern recognition algorithms to identify significant locations, routes, and behavioral patterns from noisy sensor data 
 
Build and optimize data processing pipelines that operate within strict power and memory budgets on mobile hardware 
 
Collect, curate, and analyze real-world datasets of varying size and complexity to validate algorithm performance 
 
Integrate algorithms into production code (Objective-C, Swift, C++), working within daemon and framework architectures 
 
Profile and optimize system performance: measure CPU, memory footprint, power consumption, and latency; iterate to improve 
 
Collaborate across teams (Maps, Siri, Photos, Health, Safety) to understand requirements and deliver capabilities that enable compelling user experiences 
 
Write robust, maintainable code. Test thoroughly. Address edge cases. Build systems that scale to billions of devices. 
 
Preferred Qualifications 
 
Deep expertise in location technologies: GPS/GNSS positioning, WiFi-based localization, indoor positioning, sensor fusion for state estimation, or IMU-based dead reckoning. If you've built location estimators that fuse multiple sensor modalities, we especially want to hear from you. 
 
Experience with machine learning for time-series data, spatial data, or behavioral prediction. On-device ML experience (model size optimization, quantization, power-efficient inference) is a strong plus. 
 
Background in signal processing, Kalman filtering, particle filters, or other probabilistic state estimation techniques. 
 
Experience with clustering algorithms (DBSCAN, hierarchical clustering, etc.) and unsupervised learning applied to spatial or temporal data. 
 
Track record of shipping production systems that operate at scale under resource constraints (mobile, embedded, or edge computing environments). 
 
Strong collaboration skills and ability to work effectively across teams with diverse expertise. At Apple, you'll partner closely with teams in sensing, connectivity, privacy, and application frameworks. You'll need to communicate clearly, plan collaboratively, and execute flexibly. 
 
Experience with performance profiling tools (Instruments, dtrace, etc.) and systematic optimization of CPU, memory, and power usage. 
 
Experience with large-scale data analysis for offline algorithm development, model validation, and performance evaluation across diverse user populations. 
 
Minimum Qualifications 
 
5+ years experience developing commercial software, preferably systems-level or embedded software running on resource-constrained devices 
 
Strong programming skills in C, C++, Objective-C, or Swift, with solid foundation in algorithms, data structures, and computational complexity 
 
Working knowledge of statistics and probability, including comfort with histograms, probability distributions, Bayesian inference, and hypothesis testing 
 
Experience evaluating and optimizing system performance: memory footprint, CPU usage, power consumption, and I/O 
 
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.</div>

Software Development Engineer - Location Technologies

The Maps Data Platform Workflows Team oversees the processing and management of data and workflows at the core of Apple Maps. We build and maintain the systems that enable processing and workflow management of petabytes of map data that powers the Apple Maps experience used by millions of people every day! 
 
As a Maps Data Platform engineer, youʼll design and help implement systems which empower teams across engineering and operations to build our future Apple Maps experiences! 
 
Description 
 
The Maps Data Platform Workflows Team builds and maintains the foundation that powers Apple Maps. We are responsible for providing scalable and extensible workflows that handles petabytes of map data, enabling various aspects of Map building including but not limited to data ingest, map updates, review process, and traceability. 
 
As a full-stack engineer on the team, you will primarily be responsible to build user experiences that powers various workflows involved in Map building life cycle. This position is ideal for innovative engineers who are passionate and excited to work in complex, fast-paced and ambiguous environments to deliver tangible results keeping in mind our end users and their experiences.&quot;,&quot;responsibilities&quot;:&quot;Build user experiences that powers various workflows involved in Map building life cycle. 
 
Implement foundational platform components to support Generative-AI based multi agent systems. 
 
Work closely with multi functional teams to enhance and improve our workflow solutions. 
 
Design and implement scalable and extensible platform components to support the user experiences across a dynamic range of use cases. 
 
Implement foundational platform components to to support Generative-AI based multi agent systems. 
 
Partner with a wide array of cross functional partner teams and stakeholders to understand the requirements to help build the best-in-class user experiences. 
 
Drive end-to-end delivery of the software projects and enable platform users across the Maps organization. 
 
Support and improve new and existing user experiences that power Apple Maps. 
 
Preferred Qualifications 
 
Experience with platform based approach to building user experiences with integration with REST and/or GraphQL APIs to enable scalability and reusability. 
 
Experience with Geospatial applications or mapping libraries (Mapbox, Leaflet or similar) 
 
Understanding of authentication and authorization mechanisms, including JWT and OAuth. 
 
Proven success applying Generative AI to production systems beyond prompt engineering. 
 
Minimum Qualifications 
 
Bachelor&rsquo;s degree and 4+ years of experience building and maintaining production systems. 
 
Strong hands-on experience with React, including hooks, context, and performance optimization techniques. Proficiency in TypeScript for building scalable and maintainable frontend applications. 
 
Experience with modern state management solutions such as Redux Toolkit, React Query, or Apollo. 
 
Familiarity with data visualization and charting libraries such as Highcharts, Recharts, Chart.js, or D3. 
 
Solid understanding of component-based architecture and reusable UI patterns. 
 
Experience in building scalable and low latency JVM-based web services using Scala or Java. 
 
Strong understanding of distributed data storage systems (both databases and indexes). 
 
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.

Full Stack Engineer - Maps Data Platform Workflow Team

Join Apple Maps, where our mission is to build the best map in the world. As a Data Science Software Engineer in the Maps Evaluation organization, you will be instrumental in harnessing the power of user data to strategically inform and influence critical decisions across the Maps organization. We work in a highly collaborative, fast-paced environment where you&rsquo;ll have significant autonomy to define and lead impactful projects, drive substantial change, and contribute your unique perspective to a team committed to creating something truly wonderful. 
 
Description 
 
We seek an experienced software engineer to embed in the data science team to support data science analysis. A major component is supporting prototype metrics, models, and data pipelines that are core to data science work. Additionally, this position will work to build, support, and evolve the frameworks and libraries that help data scientists create data analysis products. Part of the position is hands-on data engineering work, and another part is serving as an internal engineering consultant for data science projects in areas like computation, data access, data storage considerations, and best practices in software engineering. Additionally, you will be working across teams with other engineers embedded in data science teams, and the broader engineering teams in Maps, to contribute to common tools, platforms, and libraries.&quot;,&quot;responsibilities&quot;:&quot;Support the development of data science libraries and frameworks, guiding data scientist contributions and looking for opportunities for improvements 
 
Monitor, maintain, and improve the reliability and efficiency of data pipelines written by the team 
 
Create new data pipelines to make additional sources of data available for geospatial analyses 
 
Guide architecture and data processing decisions made by the data science team for building data products 
 
Collaborate with engineers across Maps to improve the tooling and platforms for data science and analysis 
 
Preferred Qualifications 
 
Data orchestration systems like Airflow, Dagster, or Prefect 
 
CI/CD tools like Github Actions or Travis CI 
 
Maintaining libraries to support analytical, quantitive, and statistical analyses 
 
Working with, or even embedded in, data science teams and helping to build prototypes, data pipelines, and models 
 
Helping mixed technical teams follow software engineering best practices 
 
Processing geospatial or spatiotemporal data 
 
Building front-end applications, particularly dashboards or geospatial visualization 
 
Minimum Qualifications 
 
Excellent programming skills, preferably in Python 
 
2+ Years of experience working with distributed data technologies and large-scale data processing (e.g., Hadoop, Spark, Ray, MPI) 
 
Experience with cloud-based infrastructure 
 
Strong communication and collaboration skills, especially with non-software engineering partners 
 
Bachelor or advanced degrees in Computer Science, Statistics, Physics, Operations Research, Engineering or similar quantitative domain 
 
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.

Software Development Engineer-Eval Data Science

Are you passionate about building software that will be used by hundreds of millions of people worldwide? Do you enjoy devising simple yet elegant solutions to complex global problems? 
 
The Maps Search Platform and Services team is seeking a Principal Software Engineer to help deploy new Search Platforms and Services which empower Maps Core Search, Autocomplete, and other unique Search features within Apple Maps. 
 
Description 
 
As a Principal Software Engineer in the Apple Maps team, you&rsquo;ll be instrumental in contributing to both the search platform and the product itself. You&rsquo;ll have the opportunity to innovate on the search platforms, crafting elegant solutions within distributed systems. Collaborating closely with development and product teams, you&rsquo;ll build seamless solutions that work across the entire Apple ecosystem. Additionally, you&rsquo;ll participate in design and code reviews, working alongside engineers and QA to deliver a high-quality search experience to our customers.&quot;,&quot;responsibilities&quot;:&quot;Hands-on technical leadership on multiple fronts such as architecture, development, code reviews, and operations. 
 
Own and drive multiple critical work streams, which includes vision/direction setting, overseeing the overall planning and execution toward clear objectives with measurable key results. 
 
Conduct deep-dives on product design and architecture, in collaboration with various engineering teams and having a direct impact on product development. 
 
Preferred Qualifications 
 
Master&rsquo;s or PhD in Computer Science or related fields 
 
Understanding of search indexing and ranking algorithms 
 
Experience in high throughput, low latency distributed systems. 
 
Minimum Qualifications 
 
Bachelor's degree in Computer Science, Engineering or equivalent practical experience 
 
plus at least 12 years of hands-on software engineering and systems architecture experience. 
 
Proven experience in building search related services. 
 
Expertise in one or more modern programming languages, such as Java, C++, Python. 
 
Experience on collecting high-level requirements and translating them into pragmatic solutions. 
 
Demonstrated success in working with cross-functional teams including parters, product management, business teams. 
 
Solid interpersonal and communications skills, with proven ability to translate complex technical concepts and roadmaps 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 $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.

Principal Software Engineer - Maps Search

<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

Explore 67+ Ml engineer maps navigation in Cupertino this March. Find roles across top companies and apply now to boost your career.