data analytics engineer - apple services engineering

full stack engineer - maps data platform workflow team

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

ai/ml engineer: system rf data ecosystem

applied ai/ml sw software engineer Jobs in Cupertino

applied ai/ml sw software engineer

data analytics engineer - apple services engineering Jobs in Cupertino

data engineer

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

full stack engineer maps data platform workflow team

Apple

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

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

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

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

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

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

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