ai/ml engineer: system rf data ecosystem

applied ai/ml sw software engineer Jobs in Cupertino

applied ai/ml sw software engineer

embedded software engineer, annapurna ml software Jobs in Cupertino

health sensing ml engineer Jobs in Cupertino

health sensing ml engineer

machine learning engineer Jobs in Cupertino

machine learning engineer

embedded systems engineer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware and software to create best-in-class machine learning products that accelerate customer workloads through industry leading hardware using our custom silicon solutions. If you're passionate about building the highest-performing, hardware-accelerated Machine Learning systems and want to be part of the entire journey from pre- through post-silicon development, Annapurna Labs offers an exceptional career opportunity. Join us in shaping the future of AI acceleration 
 
At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for our customers. We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll develop bare metal firmware that drives neural network model execution across our custom ASIC-based ML Accelerator chips. 
 
Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to design and implement firmware and custom hardware that enables machine learning within our accelerator chips. Our mission is ambitious: to democratize access to industry-leading ML infrastructure and make deep learning capabilities accessible to everyday software developers. From the ground up, you'll help design and build the foundation that makes this vision possible. 
 
the Annapurna Labs team operates with the agility and culture of a startup, but with the full weight of Amazon behind us and we invite you visit the link below for a glimpse inside our labs to see exactly the incredible technology and people you will work with at Annapurna Labs! 
 
https://www.aboutamazon.com/news/aws/take-a-look-inside-the-lab-where-aws-makes-custom-chips 
 
This is a fast-paced, challenging position, where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry. 
 
No prior ML knowledge is required for this role and you will learn about the inner workings of ML and our custom ML accelerators as part of your onboarding. 
 
Key job responsibilities 
<ul><li>Applying Software/Hardware co-design principles</li><li>Embedded software design, implementation, testing, debugging and performance improvements</li><li>Test suite and infrastructure design</li><li>Owning the design and final implementation of maintainable, documented and well tested software</li><li>Close collaboration with RTL designers, design verification engineers, and other software teams</li><li>Mentoring of software engineers on best practices, computer architecture and software design choices</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>7+ years of non-internship professional software development experience</li><li>7+ years of programming with at least one software programming language experience</li><li>7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Bachelor's degree in computer science or equivalent</li><li>Experience writing firmware or bare metal software using C/C++</li><li>Experience in Hardware/Software co-design</li><li>Experience with Hardware-In-The-Loop testing</li><li>Background in Computer Architecture and Design</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually 
USA, TX, Austin - 168,100.00 - 227,400.00 USD annually</div>

Sr. Software Development Engineer, C/C++ Hardware/Software Co-Design - MLA Annapurna Labs

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware and software to create best-in-class machine learning products that accelerate customer workloads through industry leading hardware using our custom silicon solutions. If you're passionate about building the highest-performing, hardware-accelerated Machine Learning systems and want to be part of the entire journey from pre- through post-silicon development, Annapurna Labs offers an exceptional career opportunity. Join us in shaping the future of AI acceleration 
 
At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for our customers. We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll develop bare metal firmware that drives neural network model execution across our custom ASIC-based ML Accelerator chips. 
 
Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to co-develop the firmware and custom hardware that enables machine learning within our accelerator chips. Our mission is ambitious: to democratize access to industry-leading ML infrastructure and make deep learning capabilities accessible to everyday software developers. From the ground up, you'll help build the foundation that makes this vision possible. 
 
the Annapurna Labs team operates with the agility and culture of a startup, but with the full weight of Amazon behind us and we invite you visit the link below for a glimpse inside our labs to see exactly the incredible technology and people you will work with at Annapurna Labs! 
 
https://www.aboutamazon.com/news/aws/take-a-look-inside-the-lab-where-aws-makes-custom-chips 
 
This is a fast-paced, challenging position, where you'll work with thought-leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry.
 
 
No prior ML knowledge is required for this role and you will learn about the inner workings of ML and our custom ML accelerators as part of your onboarding. 
 
Key job responsibilities 
<ul><li>Software / hardware architecture and co-design</li><li>Bare metal C/C++ software development, testing, debug, and performance improvements</li><li>Test suite and infrastructure development</li><li>Developing software which can be maintained, improved upon, documented, tested, and reused</li><li>Close collaboration with RTL designers, design verification engineers, other software teams and customers</li></ul></div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience writing firmware or bare metal software using C/C++</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually 
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer II, C/C++ Hardware/Software Co-Design - MLA Annapurna Labs

Apple

<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

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. 
 
Siri&rsquo;s Runtime Platform team is looking for a resourceful software engineer to develop Siri&rsquo;s next generation of natural interaction platforms on Apple&rsquo;s innovative devices! You will join the team responsible for the intelligence that orchestrates how Siri interacts across the entire Apple ecosystem. We are specifically seeking an engineer to help advance the logic that ensures the most appropriate device seamlessly responds to user requests. You should be eager to do hands-on work to improve and build features that elevate overall Siri capabilities. 
 
Description 
 
You should enjoy working in a rapidly changing environment with changing priorities, be passionate about using new technologies to solve real problems and to improve the state of intelligent assistants. This role requires someone with deep expertise in developing, launching, maintaining, and extending products. A hire for this role will accelerate the team by developing standard methodologies, creating strong architecture, and delivering substantial individual technical contributions. A key focus of this position will be to create sophisticated simulation environments and evaluation datasets to model, design, and rigorously test the system policies that drive Siri's behavior. The role requires a strong ownership mindset to collaborate with cross-functional partners to identify and resolve dependencies effectively.&quot;,&quot;responsibilities&quot;:&quot;Develops Siri&rsquo;s innovative devices Architects high-fidelity simulation frameworks to model complex real-world scenarios and validate decision-making logic 
 
Creates evaluation datasets to rigorously test the system policies that drive Siri's behavior Collaborates with cross-functional partners to identify and resolve dependencies 
 
Triages issues resulting from internal live-on populations and analyzes logs to reproduce bugs and determine priority Identifies emerging trends across reported issues to improve overall system stability and performance 
 
Preferred Qualifications 
 
Expertise in design patterns 
 
Experience contributing to shipping platforms or products to production and supporting them post-launch 
 
Experience driving technical decision-making and software development from product definition to ship for multiple products 
 
Familiarity with data modeling and algorithmic policy design 
 
Minimum Qualifications 
 
BS in Computer Science or Computer Engineering or equivalent experience 
 
Strong expertise in Swift or Objective-C programming language 
 
Solid experience in software development having contributed to code, code reviews, design reviews, and maintaining production systems 
 
Strong understanding of computer science fundamentals with excellent expertise in Concurrency, Distributed Systems, and API design Experience working with large-scale data evaluation or simulation frameworks 
 
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 Engineer, Siri Runtime Systems and Interaction

At Apple, new ideas quickly transform into products, services, and customer experiences that delight millions. This innovation is fueled by cutting-edge hardware developed within the Hardware Engineering Group. As a vital part of this organization, the System RF group designs and characterizes wireless systems across Apple&rsquo;s flagship products-including iPhone, Watch, iPad, Mac, and Audio-ensuring world-class performance from prototype to production. 
 
Within this organization, the Smart Data Ecosystem team empowers product evolution by building AI/ML-powered analytics that unlock critical insights from complex wireless manufacturing and design data. The team is currently seeking a SW Development Engineer who can build and deploy scalable, end-to-end software tools and systems in distributed cloud environments. 
 
Join a team operating at the intersection of hardware, data, and AI-architecting intelligent software tools that solve complex system optimization problems where you can directly influence the performance of Apple products used worldwide! 
 
Description 
 
This role focuses on building high-quality software systems that support and scale critical engineering workflows in a fast-paced, startup-like environment. As a Software Development Engineer, you will contribute to the design and implementation of full-stack applications, working across front-end interfaces, backend services, and cloud-based infrastructure. You will collaborate closely with senior engineers to translate evolving requirements into well-structured, maintainable code, applying strong software fundamentals to ensure correctness, performance, and reliability. You possess strong debugging skills across the stack, with the ability to use logs, metrics, and systematic problem-solving to diagnose and resolve development and production issues. You write automated tests and ensure code quality through thorough testing and code reviews, while applying performance best practices to deliver scalable, efficient software. Through hands-on development, testing, and debugging, you will help deliver software that is resilient, scalable, and ready for rapid iteration.&quot;,&quot;responsibilities&quot;:&quot;Build Full-Stack Systems: Design, implement, and maintain end-to-end applications spanning front-end interfaces, backend services, and APIs in distributed cloud environments. 
 
Deliver Scalable, Production-Ready Software: Develop reliable, performant services, applying performance best practices to ensure efficient, high-volume workflows. 
 
Apply Software Fundamentals and Testing: Write clean, maintainable, well-tested code and participate in code reviews to ensure high-quality software. 
 
Debug Across the Stack: Diagnose and resolve issues across front-end, backend, and infrastructure using logs, metrics, and systematic problem-solving. 
 
Contribute to Cloud &amp; DevOps Workflows: Participate in CI/CD pipelines, cloud deployments, monitoring, and operational best practices for system reliability. 
 
Collaborate and Communicate: Work closely with senior engineers and cross-functional teams to clarify requirements, make technical decisions, and deliver impactful solutions. 
 
Preferred Qualifications 
 
5+ years of professional software development experience delivering high-quality, production-ready systems. 
 
Experience deploying scalable solutions handling high-volume data in production environments. 
 
Practical experience building applications or platforms that leverage AI, LLMs, or analytics-driven workflows to enhance functionality or insights. 
 
Familiarity with DevOps practices, including CI/CD pipelines, containerization (Docker), and monitoring/observability tools (logging, metrics, alerting). 
 
Exposure to fast-paced, startup-like environments with rapidly evolving requirements and ambiguity. 
 
Minimum Qualifications 
 
Master&rsquo;s degree in Computer Science, Engineering, or a related field, with 4+ years building production-quality full-stack applications. 
 
High proficiency in Python, including REST API development, Flask-based web applications, asynchronous task processing (Celery), and production-ready code. 
 
Hands-on experience with modern front-end frameworks (e.g., React) and relational databases such as PostgreSQL, including schema design and query optimization. 
 
Proven ability to diagnose and resolve issues across the full stack, including development and production environments. 
 
Familiarity with cloud environments (AWS, GCP, Azure), CI/CD workflows, version control, and modern software engineering best practices. 
 
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.

SW Development Engineer: System RF Data Ecosystem

Apple&rsquo;s products combine the best hardware and incredible software to deliver magical experiences to our customers. The Proactive Intelligence team builds features that anticipate customer&rsquo;s needs and create personalized experiences by adapting to user behaviors with machine learning running locally on users&rsquo; devices. We are seeking exceptional software engineers with a strong machine learning background to join our team where we&rsquo;re making Apple Intelligence more capable and personalized to surprise and delight our millions of customers on the iPhone, Mac, Apple Watch, iPad, and more! 
 
Description 
 
We are seeking passionate, creative, and curious engineers with experience shipping machine learning systems and a proven track record of outstanding software engineering abilities. We need your expertise to invent the future by integrating new features with highly complex systems. You will need to learn and deeply understand the way Apple&rsquo;s software operates in order to deliver new capabilities and features. The most successful engineers ask questions, are eager to teach and learn together, and share a common belief that that we can surprise and delight our customers with personalized intelligent experiences in all of Apple&rsquo;s products. Join us to benefit the lives of hundreds of millions of people around the world! 
 
As a member of our team, you will ship excellent software for machine learning systems; establish scalable automated processes for evaluation and monitoring; contribute to a healthy team culture where everyone feels respected, empowered, and challenged to grow; commit to engineering excellence by upholding best practices that enable us to move quickly with confidence; obsess over the user experience first, and learn the power of story telling to communicate complex ideas; and develop innovative tools and techniques that change the way we look at problems. Join the Proactive Intelligence team to create the future of intelligent experiences across our entire lineup of devices iPhone, iPad, HomePod, Mac, Apple Watch, AppleTV, and more! 
 
Preferred Qualifications 
 
Experience with production machine learning systems 
 
Experience developing for resource constrained platforms, especially mobile devices 
 
Minimum Qualifications 
 
MS in Computer Science or equivalent practical experience 
 
Comfortable building production software systems and components in large software projects 
 
Hands-on experience with one or more compiled languages 
 
Attention to detail and drive to achieve excellence 
 
Excellent written and verbal communication skills 
 
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.

Sr Software Engineer, ML Systems Engineering

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.

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