core os software engineer - darwin server

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applied ai/ml sw software engineer Jobs in Cupertino

applied ai/ml sw software engineer

core os software engineer - darwin server Jobs in Cupertino

embedded software engineer, annapurna ml software Jobs in Cupertino

full stack engineer - maps data platform workflow team Jobs in Cupertino

location software development engineer in test Jobs in Cupertino

platform software engineer

Apple

Are you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven user experiences? 
 
We are looking for a Software Engineer who is passionate about translating expertise in NLP and ML into impactful applications for users. The role allows you to be a highly multi-functional engineer with plenty of opportunities to collaborate cross-functionally and get high visibility for your work. 
 
Our team is responsible for the Research, Development and Deployment of ML/NLP technologies that power Apple Intelligence on device and on private compute cloud. Our team was also responsible for building Generative AI experiences for Writing Tools, Smart Replies, Transformer Models for Keyboard across all Apple Platforms. 
 
Our team has a great mix of talent across NLP, Software Engineering and Machine Learning. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams at Apple. 
 
Description 
 
As a member of this premier team, you will work on the intersection of NLP, Machine Learning and Software Engineering. 
 
The position requires proven hands-on NLP experience in conjunction with Software Engineering. The role spans the entire gamut of NLP: text processing, empirical experimentation for building state-of-the-art NLP models, productizing Generative AI features for Apple. You will collaborate closely with several engineering teams at Apple that work on machine learning and NLP. 
 
Preferred Qualifications 
 
Hands-on experience in using open-source ML toolkits, e.g., PyTorch 
 
Hands-on experience with building NLP/Generative AI applications 
 
Excellent communication and organizational skills 
 
Minimum Qualifications 
 
Experience writing production software (Swift, C/C++, Obj-C, Python) 
 
Good machine learning (ML) fundamentals 
 
B.S, M.S. or PhD in Computer Science or a related field 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $126,800 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Software Engineer in Natural Language Processing (NLP) and Machine Learning (ML)

Are you passionate about Machine Learning and AI, and eager to apply your expertise to solve real-world problems at Apple&rsquo;s incredible scale? Do you want to see your work translated into direct impact on iPhone, AirPods, Watch, Mac, and more? Come join us in applying ML and AI techniques across Apple&rsquo;s hardware portfolio, helping bring amazing, groundbreaking products and innovations to life. 
 
We are the Product Integrity AI/ML team, and we build and deliver software supporting the development of Apple&rsquo;s unparalleled hardware product line. Our software is used by both Apple engineers and third-party accessory manufacturers to develop and debug their systems, with high visibility throughout the company. 
 
If you&rsquo;re excited by writing efficient, testable, and robust code that makes a real difference, we can&rsquo;t wait to hear from you! 
 
Description 
 
As a Software Engineer in our team, you will work with a diverse array of cross-functional partners throughout Apple on challenging projects incorporating Machine Learning and AI. The software you build will be instrumental in solving difficult challenges, providing data insights, and driving decision-making within Hardware Engineering and beyond. We move at a fast pace, iterate quickly, and work side-by-side with our customers to ensure we&rsquo;re building the most effective solutions possible. 
 
&quot;,&quot;responsibilities&quot;:&quot;Write high-quality code that&rsquo;s testable, scalable, and able to be maintained by others in the future 
 
Collaborate across teams and organizations to distill complex requirements into a concrete action plan 
 
Research new ML and AI techniques and advocate for innovative ways to apply them to new and existing problems for our customers 
 
Build scalable infrastructure platforms from the ground up to service cutting edge machine learning workflows 
 
Lead design reviews, author documentation, and give meaningful feedback on the designs of peers 
 
Represent your work to the team and leadership through demos, presentations, and retrospectives 
 
Preferred Qualifications 
 
Experience building with LLMs, designing and training custom ML models, and developing RAG/agentic pipelines 
 
Exposure or interest in leveraging Kubernetes and other cloud-based deployment platforms to deliver applications reliably at a high velocity 
 
Ability to architect complex systems in a reusable, modular way 
 
Curiosity to learn new technologies and passion for sharing that knowledge with others 
 
Master&rsquo;s degree in Computer Science, Computer Engineering, related field, or equivalent work experience 
 
Minimum Qualifications 
 
Bachelor&rsquo;s Degree in Computer Science, Computer Engineering, related field, or equivalent work experience 
 
2+ years professional software engineering experience working in Python or other object-oriented programming language(s) 
 
Demonstrated software engineering expertise in web, native, and/or Machine Learning/AI applications 
 
Excellent written and verbal communication to both technical and non-technical 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 $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.

Applied AI/ML SW Software Engineer

The Darwin Server team in Core OS is looking for enthusiastic engineers interested in developing system software for Apple&rsquo;s operating systems. Darwin is the UNIX-like foundation at the heart of all Apple&rsquo;s operating systems, stretching from the kernel up through low-level user components. The Darwin Server team is responsible for ensuring this foundation is adaptable for use in server environments, such as with the Private Cloud Compute service that powers Apple Intelligence. 
 
Description 
 
In this role, you&rsquo;ll have an opportunity to dive into complex technical challenges, shaping OS architecture and design of cross-functional features, actively influencing our technical direction. We are seeking candidates who are eager to learn, tackle new problems, and drive innovation through their work, while actively mentoring and supporting each other in our quest to learn and grow as technical leaders. Our environment values diverse perspectives, ideas, and collaborative styles, with the goal of creating opportunities for everyone to thrive and grow. 
 
&quot;,&quot;responsibilities&quot;:&quot;You will be responsible for working on a range of technologies that form the foundation of Apple&rsquo;s operating systems, with a focus on improving these technologies for use in server and cloud environments. Projects you work on as part of the Darwin Server team could include: 
 
Building technologies to enable server application packaging and distribution (like OCI images or Flatpak) 
 
Enabling Darwin to be integrated with cloud management and orchestration technologies (similar to cloud-init or Kubernetes) 
 
Improving Darwin&rsquo;s support for observability at scale (e.g. OpenTelemetry) 
 
Developing new security or privacy features to improve Private Cloud Compute 
 
An engineer on the Darwin Server team would regularly: 
 
Participate in all phases of the software development cycle: from problem definition and design, through implementation, testing, and debugging 
 
Work with client teams to build the features required for Darwin to meet their development and product requirements 
 
Partner with technology owners throughout Apple to enable their technologies for use in server environments 
 
Engage cross-functionally to affect technical change across Apple 
 
Preferred Qualifications 
 
Experience building operating system infrastructure to support cloud computing 
 
Experience with system daemon, library development, or API design 
 
Efficiency in scripting, data analysis, and automation using Python, shell, or other scripting languages 
 
Practical understanding of security principles, concepts, and techniques (e.g. certificates, software signing, attestation) 
 
Ability to systematically troubleshoot issues across the entire technology stack 
 
Perspective on how successful teams build and operate cloud technologies 
 
Involvement in open source technologies and development communities such as Darwin, FreeBSD, Linux, etc 
 
Passion for raising the bar for privacy and security in cloud computing 
 
BS/MS in Computer Science or equivalent knowledge and experience 
 
Minimum Qualifications 
 
Experience with UNIX-like systems 
 
Strong understanding of operating systems architecture and systems programming fundamentals 
 
Fluent in any of the following programming languages: C, Objective-C or Swift 
 
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.

Core OS Software Engineer - Darwin Server

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago- even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. 
 
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Annapurna MLA Software team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and develop the software and firmware to drive, support and sustain these technologies as they evolve though concept and manufacturing, and finally take their place in our rapidly expanding fleet of bleeding edge Machine Learning products our customers demand. 
 
Key job responsibilities 
<ul><li>Architect and develop mission-critical software that powers Annapurna Labs' next-generation machine learning platforms</li><li>Collaborate with EC2 teams and manufacturing partners to ensure seamless system integration</li><li>Drive end-to-end qualification processes for new software implementations</li><li>Craft high-performance solutions using C/C++ running on Linux</li></ul> 
A day in the life 
You'll design and develop the software and firmware that drives NeuronSwitches- the high-performance interconnect fabric for Trainium chips. Day-to-day, you'll work closely with EC2, Annapurna Labs teams and manufacturing teams to bring up new hardware, debug board-level issues and optimize data paths. You'll write device drivers, build ML infrastructure, implement switch fabric control logic and develop the tooling needed for testing, qualification, and production deployment. 
This is hands-on systems work- from initial hardware bring-up through manufacturing scale-up. 
 
About the team 
The Annapurna ML Software team builds the software and firmware that powers NeuronSwitches- AWS' next-generation switching infrastructure forming the high-performance interconnect fabric for Trainium 3 
chips. We focus on mission-mode control of sensors, board-level hardware, and the critical data paths that enable chip-to-chip communication at scale. Our work spans device drivers, switched fabric and everything in between- from debug and testing through qualification and manufacturing. 
 
We work at the hardware-software boundary where silicon meets systems. While ML engineers optimize models and algorithms, we ensure the underlying infrastructure can move data at the 
speeds those workloads demand. If you're excited about low-level systems programming, hardware bring-up, and building the foundation that makes next generation AI possible, this is the team 
for you.</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 programming with at least one software programming language</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 
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually</div>

Embedded Software Engineer, Annapurna ML Software

We are looking for a Senior Software Engineer to join our Data Engineering Infrastructure team, which builds and operates the foundational platforms that power data ingestion, transformation, and analytics across the organization. You will design and develop high-performance, reliable, and scalable systems that enable data engineers, analysts, and ML practitioners to move, process, and govern data efficiently and securely. 
 
Description 
 
As a Senior Software Engineer in the Data Engineering Infrastructure team, you will design and build distributed systems and frameworks that automate the lifecycle of data - from ingestion to transformation to serving. You&rsquo;ll work at the intersection of software engineering, distributed data processing, and cloud infrastructure, helping to define the standards, abstractions, and tools that enable our data platform to operate at scale. 
 
You will collaborate closely with teams across data engineering, analytics, ML, and platform engineering to deliver resilient infrastructure components such as data ingestion pipelines, metadata and schema management services, workflow orchestration, and monitoring frameworks. This is a hands-on role where you will influence architecture, write production-grade code, and drive engineering excellence across the data platform.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and maintain scalable data infrastructure and frameworks supporting batch and streaming workloads. 
 
Develop common services for data ingestion, schema evolution, metadata management, and data quality enforcement. 
 
Implement automation for data pipeline deployment, monitoring, and governance. 
 
Collaborate with data engineers and platform teams to define APIs, SDKs, and libraries that make developing data applications simpler and safer. 
 
Improve performance, reliability, and observability of data pipelines and platform components. 
 
Participate in architecture reviews, code reviews, and technical design discussions. 
 
Drive adoption of best practices in distributed systems, storage formats (Parquet, Iceberg), and data access layers. 
 
Contribute to capacity planning, cost optimization, and operational excellence in cloud and on-prem environments. 
 
Mentor junior engineers and contribute to the overall technical strategy and roadmap for the data platform. 
 
Preferred Qualifications 
 
Deep expertise in optimizing and troubleshooting distributed data frameworks (e.g., Apache Spark internals, Flink stateful streaming, Kafka Connect) 
 
Advanced experience with workflow orchestration tools (e.g., Airflow, Prefect, Dagster), including custom development 
 
Proven track record in performance tuning, cost optimization, and designing comprehensive observability solutions for large-scale cloud data platforms 
 
Familiarity with data security, privacy, and compliance principles within data infrastructure 
 
Experience integrating data platforms with MLOps and machine learning workflows 
 
Active participation or contributions to relevant open-source data technologies or industry communities 
 
Master&rsquo;s or Ph.D. degree in Computer Science, Data Engineering, or a related quantitative field 
 
Minimum Qualifications 
 
12+ years of experience in software engineering, with at least 5 years focused on data systems or platform infrastructure 
 
Proven track record of leading design discussions, mentoring engineers, and driving cross-team technical initiatives 
 
Strong programming skills in Java, Python; Scala - nice to have 
 
Hands-on experience designing, developing, and operating high-performance backend services 
 
Hands-on experience with distributed data frameworks such as Spark, Flink, or Kafka 
 
Solid understanding of data modeling, storage formats (Parquet/Avro/ORC), and partitioning strategies 
 
Experience with data governance, cataloging, and schema management systems (e.g., Hive Metastore, Glue, Iceberg, Delta Lake) 
 
Experience working with cloud-based data platforms (AWS, GCP, or Azure) 
 
Experience building data infrastructure frameworks, SDKs, or shared libraries used by multiple data teams 
 
Familiarity with CI/CD, container orchestration (Kubernetes), and infrastructure-as-code tools (Terraform, CloudFormation) 
 
Excellent problem-solving, debugging, and communication skills 
 
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (or equivalent practical experience) 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $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 Software Engineer - Data

<div>The Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop state-of-the-art generative AI technologies based on Large Language Models to power innovative features in both Apple&rsquo;s devices and services on the cloud. 
 
As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data and unstructured web data) and Summarization as well as developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and synthesize information across documents to provide user with a direct answer that best satisfies their intent and information seeking needs. Additionally, you will research and develop the state-of-the-art LLMs for summarizing personal data such as emails, messages, and notifications. 
 
You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple&rsquo;s AI powered products and conduct applied research to transfer the cutting edge research in generative AI to production ready technologies. 
 
Description 
 
As a member of our fast-paced group, you&rsquo;ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for highly motivated machine learning engineers and researchers having strong machine learning and deep learning fundamentals with hands-on experience in fine-tuning deep learning and large language models. This role will have the following responsibilities: 
 
<ul><li>Conduct research and development on state-of-the-art deep learning and large language models for various tasks and applications in Apple&rsquo;s AI-powered products</li></ul> 
<ul><li>Developing, fine-tuning, and evaluating domain-specific Large Language Models for various NLP tasks including summarization, question answering, search relevance/ranking, entity linking and query understanding problems</li></ul> 
<ul><li>Conducting applied research to transfer the cutting edge research in generative AI to production ready technologies</li></ul> 
<ul><li>Understanding product requirements, translate them into modeling tasks and engineering tasks</li></ul> 
<ul><li>Stay up to date with the latest advancements and research in deep learning and large language models</li></ul> 

Preferred Qualifications 
 
PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 
 
At least 1 year of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas: 
 
<ul><li>Supervised Fine-tuning (SFT) with Rejection Sampling</li></ul> 
<ul><li>Preference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.)</li></ul> 
<ul><li>Parameter efficient fine-tuning techniques (e.g LoRA)</li></ul> 
<ul><li>Hallucination reduction and factual accuracy improvements</li></ul> 
<ul><li>Designing and implementing safety guardrails</li></ul> 
At least 4 years of experience with large-scale model training, optimization, and deployment 
 
One or more scientific publications in various conferences and journals 
 
Outstanding communication and interpersonal skills with ability to work with cross-functional teams. 
 
Minimum Qualifications 
 
Master&rsquo;s in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 
 
2 years of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas: Supervised Fine-tuning (SFT) with Rejection Sampling, Preference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.), Parameter efficient fine-tuning techniques (e.g LoRA), Hallucination reduction and factual accuracy improvements, Designing and implementing safety guardrails 
 
Experience working with Deep learning or LLM model development for various NLP tasks and RAG applications including prompt engineering, training data collection and generation, model fine-tuning and model evaluation 
 
Experience working with Python and at least one of the deep learning frameworks such as TensorFlow, PyTorch, or JAX. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $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>

Machine Learning Engineer, Apple Search & Knowledge Platforms

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

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