aiml - machine learning engineer, data and ml innovation

aiml - machine learning research engineer, data and machine learning innovation

aiml - sr machine learning engineer, data and ml innovation

aiml - sr software data engineer, evaluation

administrative assistant - beats, home, accessory, and ecosystem

administrative assistant, platform apps & technologies

administrative assistant, privacy legal & law enforcement

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

ai/ml engineer: system rf data ecosystem

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

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

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

aiml - sr software data engineer, evaluation Jobs in Cupertino

data analyst

Apple

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. 
 
As a Data Analyst on Apple&rsquo;s Storage Analytics team, you&rsquo;ll play a key role in developing the fastest, most efficient SSDs for products including iPhone, iPad, Apple Watch, and Apple Silicon Macs. We&rsquo;re seeking an exceptional analyst with expertise in distributed data processing and a proven ability to transform data into actionable insights. If you&rsquo;re passionate about advancing how data is used to make Apple&rsquo;s products even better, we&rsquo;d love to hear from you! 
 
Description 
 
On the Storage Data Analytics team, we are responsible for ad hoc data analysis, developing and maintaining distributed data pipelines, and creating and supporting analysis tools. Our work focuses on Apple&rsquo;s storage solutions. The team is small and nimble, able to quickly explore ideas and present them to both storage teams and leadership. 
 
&quot;,&quot;responsibilities&quot;:&quot;Performing exploratory data analysis to assess the feasibility of investigations. 
 
Using Jupyter and Tableau to explore and visualize data, and publishing findings to client teams. 
 
Building data pipelines to extract data from HDFS, transform it in Spark, and deliver it to Postgres and Tableau. 
 
Delivering analyses through self-service dashboards as well as in-person presentations with other teams and engineering leaders. 
 
Preferred Qualifications 
 
Master&rsquo;s or PhD in Computer Engineering, Computer Science, Physics, Mathematics, or equivalent experience/skills 
 
Familiarity with distributed computation, storage, and workflow management (e.g., Splunk, Spark, Kubernetes, Kafka, Hadoop, MapReduce, Airflow, etc.) 
 
Knowledge of storage concepts, SSDs, and I/O paradigms 
 
Highly organized, creative, motivated, and results-driven 
 
Minimum Qualifications 
 
4+ years of experience in data analytics 
 
Professional programming experience with Python 
 
Experience working with relational databases and SQL 
 
Ability to lead data investigations and analysis projects with ambiguous requirements 
 
Advanced knowledge of statistics and modeling 
 
Experience visualizing and presenting analyses using tools such as Jupyter and Tableau 
 
Excellent written, verbal, and data communication skills 
 
BS in Computer Engineering, Computer Science, Physics, Mathematics, or equivalent experience/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.

Senior Data Analyst - Storage Technologies

As a Commodity Finance Analyst, you will play a critical role in managing Apple's commodity costs, ensuring accurate financial reporting, and supporting strategic decision-making within the Worldwide Procurement Finance team. You will be responsible for forecasting commodity prices, analyzing variances, and collaborating with operations and supply chain teams to optimize costs and mitigate risks in a dynamic global market. Additionally, this role requires strong technical expertise in data querying, dashboard development, and large-scale data analysis. You will design and build scalable Tableau dashboards, write complex SQL queries, and leverage tools such as Dataiku to improve reporting efficiency, enhance data transparency, and support strategic decision-making. 
 
Your work will directly influence gross margin performance, operational efficiency, and strategic sourcing decisions in a fast-paced global environment. 
 
Description 
 
The Worldwide Procurement Finance group provides analytical support for key cost data, including standard costs, forecasted costs, and actual costs for Apple&rsquo;s extensive range of commodities. As a Commodity Financial Analyst, you will report to the Manager of Commodity Financial Management and support specific commodities or categories. 
 
This role expands beyond traditional financial analysis to include ownership of data architecture, dashboard development, and process automation. You will work with large, complex datasets from multiple systems (ERP, supply chain, contract manufacturers, suppliers), transforming raw data into actionable insights and executive-level reporting. 
 
You will operate with minimal direct supervision, performing complex and non-routine analytical tasks that directly impact gross margin and profitability. The ideal candidate combines strong financial acumen with technical data skills and a continuous improvement mindset. Our team is highly collaborative and values innovation, automation, and scalable solutions. 
 
&quot;,&quot;responsibilities&quot;:&quot;Design, develop, and maintain interactive Tableau dashboards for commodity cost analysis, reporting, and executive reviews. 
 
Write complex SQL queries to extract, transform, and analyze large datasets from ERP and data warehouse systems. 
 
Leverage tools such as Dataiku (or similar platforms) to automate data preparation, modeling, and reporting workflows. 
 
Build scalable, automated reporting solutions to improve efficiency and reduce manual processes. 
 
Prepare key commodity forecasts used in monthly purchase price variance (PPV) forecasting and gross margin analysis. 
 
Reconcile actual costs to forecasted costs and analyze key drivers of commodity cost changes. 
 
Perform supply chain analysis to identify trends, risks, and cost optimization opportunities. 
 
Reconcile and analyze supply chain data against contract manufacturer and supplier data. 
 
Prepare quarter-end accounting entries to accurately represent commodity costs in financial statements. 
 
Support ad hoc supply chain business process reengineering initiatives. 
 
Preferred Qualifications 
 
Experience with SAP or other ERP systems. 
 
Experience with Dataiku or similar data science/ETL platforms. 
 
Operations and Supply Chain Finance experience. 
 
Experience with data modeling, automation, and process optimization initiatives. 
 
Familiarity with data warehousing concepts and financial data governance. 
 
Programming experience in Python or similar language for data analysis (a plus). 
 
Minimum Qualifications 
 
Bachelor&rsquo;s degree in Accounting, Finance, Data Analytics, Information Systems, or related field. 
 
5+ years of experience in finance, supply chain finance, cost accounting, or related analytical role with strong technical exposure. 
 
Advanced Excel skills (financial modeling, large dataset handling, complex formulas). 
 
Strong SQL skills with demonstrated experience querying large relational databases. 
 
Experience building dashboards and visualizations in Tableau (or comparable BI tool). 
 
Experience working with large, complex datasets across multiple systems. 
 
Strong analytical and problem-solving skills at both macro and micro levels. 
 
Excellent oral and written communication skills with the ability to translate complex data into clear business insights. 
 
Detail-oriented with strong ability to handle ambiguity and uncertainty. 
 
Proven ability to work independently and drive 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 $137,900 and $207,300, 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.

Commodity Finance & Data Analyst

Senior Commodity Financial Analyst

In this position, the candidate will be working for the Hardware Validation Engineering (HVE) team on post-Silicon hardware system validation of next generation Mac systems. Our Engineering Team is responsible for architecting methods to test new system hardware with the macOS environment to catch issues early in the hardware life cycle. You will be a key technical and logistical contributor and will utilize your in-depth data analytic skills to help provide insight into Hardware behaviors related to Silicon and System performance, power, temperature and fault / error issues. 
 
Description 
 
As a Data Scientist / Analyst within the Hardware team your job responsibilities will include: 
 
Analyze large-scale hardware telemetry including power rails, thermal sensors, Power Silicon and SoC counters and performance logs, and stress-test measurements etc. 
 
Apply statistical modeling and ML techniques to identify anomalies, drift, hardware degradation patterns, and emerging failure signatures. 
 
Develop feature extraction pipelines tailored to silicon behavior-examples: rate-of-change of thermal zones, correlation of voltage droops with workload transitions, PMU-based bottleneck signatures. 
 
Build predictive models that estimate performance/power deviations, reliability risks, or stress-induced failures. 
 
Create clear, high-signal visualizations (e.g., multi-axis time-series overlays, workload-power envelopes, thermal gradients, event timelines) to support hardware debug and performance analysis. 
 
Automate root-cause discovery workflows using statistical correlations, temporal pattern detection, clustering of abnormal runs, and hardware-aware signal decomposition. 
 
Work closely with silicon design, system validation, and performance engineering teams to turn data insights into actionable design or validation recommendations. 
 
Continuously refine modeling and feature engineering methods as new hardware blocks, sensors, counters, and test modes become available. 
 
Data Extraction, Parsing and Storage own the pipeline for extraction and and storage into Databases and the structure. 
 
Preferred Qualifications 
 
Experience with dashboard platforms (Grafana, InfluxDB, Plotly Dash, Tableau). 
 
Familiarity with test automation data, debug logs, or hardware lab measurement tools. 
 
Experience in product validation, reliability, performance characterization, or silicon bring-up. 
 
Minimum Qualifications 
 
Bachelor&rsquo;s degree in Computer Engineering, or Computer Science. 
 
Data Science / Statistical Expertise: Ability to handle asynchronous, high-frequency hardware telemetry and create anomaly detection based algorithms. 
 
Programming &amp; Tools: Python skills (Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, Plotly). 
 
Ability to write clean, reproducible analytical scripts for large datasets. SQL and experience working with validation data warehouses. 
 
Visualization Skills: Must be comfortable creating custom plots and interactive exploratory visualizations using Python and other analytical tools. 
 
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 Development Engineer - Data

At Apple, we believe in the power of technology to enrich people's lives. Everything we build is designed to empower people, including our advertising platform. We deliver ads in a way that benefits both consumers and advertisers - helping people discover content, supporting creators, and protecting and respecting everyone&rsquo;s privacy. 
 
Our technology makes advertising possible on the App Store, Apple News, Stocks, and Apple TV. We help developers and marketers of all sizes drive app discovery across the App Store. Our display ads on Apple News and Stocks let advertisers promote their products alongside trusted content in a brand-safe environment, while supporting publishers and journalists. Sponsorship integrations and experiences in live sports on Apple TV help advertisers connect with captivated audiences. Everything we do is with the unwavering commitment to privacy you expect from Apple. Because when advertising is done right, it benefits everyone. 
 
Description 
 
Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy. The Ad Platforms Data Insights team is seeking a Data Scientist to join in developing the next generation of analytical solutions in collaboration with Engineering, Product, Sales, Marketing, and Finance. In this role you will work as a key member of a data-centric team to drive the exploration, analysis, development, execution, and measurement solutions that are essential to running and growing the ads marketplace. Responsibilities include turning the huge amounts of data generated by user searches, app content, and App Store context into business insights that improve the customer experience for the end-user as well as drive discovery and efficiency for app developers. 
 
This role requires both a broad knowledge of statistics and creativity to invent and customize when vital. You'll dig in and get into the details. The theory behind the techniques are just the beginning. You'll be working on projects where practical applications of these approaches get applied in real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for an inquisitive, collaborative, and passionate person to join this amazing team.&quot;,&quot;responsibilities&quot;:&quot;Support Marketplace Product, Engineering, and the Executive Team with analyses, and data products to improve product performance, deepen customer insight and deliver business impact. 
 
Empower the product and algorithm engineering team with insights to advise and fulfill their strategic objectives and goals. 
 
Quantify the impact of marketplace initiatives on advertiser impact, and business performance. 
 
Design experiments that help define opportunities for pricing, matching, and prediction models leading to improved marketplace performance, and positive advertiser impact. 
 
Monitor usage metrics and provide business-based explanations for large scale trends and patterns in advertiser lifecycle behavior. 
 
Develop reusable models and data products working closely with Data Engineering team to ensure scalability of models and products in production. 
 
Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results for customers 
 
Preferred Qualifications 
 
4+ years of recent experience in a data science role. 
 
Experience in the mobile advertising industry or related field. 
 
Familiarity with job orchestration frameworks such as Airflow. 
 
Demonstrated ability to build visualizations, dashboards and enable broader consumption of insights and tools for investigations. 
 
Post-Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience 
 
Minimum Qualifications 
 
2+ years of recent experience in a data science role. 
 
Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary. 
 
Familiar with statistical analysis methods, most notably regression analysis, causal inference, statistical learning and A/B and quasi-experimentation methods. 
 
Demonstrated experience in applying statistics and machine learning to generate clear actionable insights. 
 
Comfortable with a variety of data stores such as Hadoop, and Snowflake, familiar with distributed analytics engines such as Spark/PySpark. 
 
Possess exceptional communication skills to communicate analyses in a clear and effective manner to technical audience and executive leadership. 
 
Demonstrated ability to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address messy business problems. 
 
Proven ability to operate comfortably and optimally in a fast-paced and constantly evolving environment. 
 
Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/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 $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.

Senior ML Data Scientist - Marketplace, Apple Ads

<div>We're idealists. Inventors. Forever tinkering with products and processes, always on the lookout for better. Whether you work at our global offices, offsite, or even at home, a job at Apple will be demanding. But it also rewards bright, creative thinking and hard work. And none of us here would have it any other way. Does an exciting, dynamic and fast paced environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining us. We are looking for an experienced individual who will focus on exploratory analysis and development of innovative components to grow engagement of users, specifically in the areas of feature usage behavior and conversion optimization. 
 
Description 
 
This role focuses on subscription analytics and initiatives to drive growth. Here, you will partner closely with Product, Business, Data Engineering and Instrumentation teams. The tasks fall broadly into these areas: 
 
<ul><li>Size new opportunities and work with a broad cross-functional team to support roadmap planning, implementation, and launch of new products and features.</li></ul> 
<ul><li>Identify key learnings from data and distill findings into recommendations for business owners</li></ul> 
<ul><li>Define, measure and communicate KPIs for overall business and key initiatives. Build and maintain regular reports and provide ad-hoc analysis to support business needs</li></ul> 
<ul><li>Work with engineering to identify data needs for new initiatives and build data pipelines. Partner with the instrumentation team to ensure tracking is in place before launches</li></ul> 

Preferred Qualifications 
 
Related business understanding with experience in product growth or analytics. 
 
Strong business presentation and storytelling skills. Communication skills to package findings. 
 
Work well within cross-functional teams and manage stakeholders. 
 
Ability to structure and solve problems. 
 
Minimum Qualifications 
 
5+ years of experience working and understanding of data structures and pipelines. 
 
5+ years of experience with demonstrated expertise in programming, developing, and managing SQL, R and/or PySpark. 
 
Bachelor's degree in the preferred fields of Mathematics, Economics, Engineering, Statistics, Business Analytics, Finance, or equivalent quantitative discipline 
 
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 $134,800 and $245,800, 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>

Data Scientist, Subscription Analytics

Do you have a passion for invention and self-challenge? Do you thrive on pushing the 
 
limits of what&rsquo;s considered feasible? As part of our Battery Engineering group, you&rsquo;ll 
 
help craft creative battery solutions that deliver more energy in smaller spaces than 
 
ever before! We work across subject areas to transform improved hardware elements 
 
into a single, integrated design. Join us, and you&rsquo;ll help us innovate new battery 
 
technologies that continually outperform the previous iterations. By collaborating with 
 
other product development groups across Apple, we push the industry boundaries of 
 
what batteries can do and improve the product experience for our customers across the 
 
world! This position works within a multi-functional team supporting the entire Battery 
 
Department to identify trends, mine data, and help the battery team improve 
 
performance. 
 
Description 
 
The Battery Analytics team transforms data into actionable insights by combining deep battery domain expertise with statistical, quantitative, and AI/ML methodologies.&quot;,&quot;responsibilities&quot;:&quot;Analyze multi-source data (factory, laboratory, field, and failure data) and collaborate with cross-functional teams to resolve battery performance issues 
 
Navigate Apple's database ecosystem to efficiently extract representative datasets while maintaining data quality standards for data-driven analysis 
 
Design and implement robust data processing workflows; apply advanced modeling techniques with emphasis on causal analysis leveraging battery physics knowledge 
 
Build comprehensive time-series and battery cycling data visualization and analytics capabilities 
 
Conduct comparative studies, identify early warning signals, and lead failure analysis deep-dives 
 
Drive resolution of anomalous forecasts for critical KPIs including battery swell, impedance, and capacity fade 
 
Develop AI/ML capability for battery engineering leveraging state-of-the-art GenAI progress 
 
Preferred Qualifications 
 
Master&rsquo;s degree, PhD or equivalent job-related experience in Mechanical Engineering, Material Engineering, Electrical Engineering, Computer Science or relevant 
 
Proven experience in statistical analysis, data mining, and causal inference methodologies 
 
Advanced proficiency in big data processing, visualization, and automated workflow development using Python, R, or similar scripting languages 
 
Hands-on experience with machine learning algorithms including ensemble methods, probabilistic networks, association rules, clustering, regression, neural networks, and large language mode 
 
Strong analytical problem-solving abilities to address urgent ad-hoc requests by integrating engineering knowledge with advanced analytics and ML techniques across diverse data sources 
 
Demonstrated expertise in anomaly detection techniques for time series and multivariate dataset 
 
Self-motivated contributor who proactively collaborates across functions and develops innovative solutions beyond existing toolsets 
 
Excellent communication skills with ability to explain complex technical concepts (particularly causal inference) to diverse audiences including data scientists, design engineers, and business stakeholders 
 
Battery technology experience strongly preferred 
 
Minimum Qualifications 
 
BS degree in Mechanical Engineering, Material Engineering, Electrical Engineering, Computer Science or relevant 
 
Experience with statistical analysis, data mining, or relevant 
 
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 $141,800 and $258,600, 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.

Data Scientist - Battery

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