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

senior software engineer analytics

Apple

<div>The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple&rsquo;s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. 
 
These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. 
 
Thanks to Apple&rsquo;s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple&rsquo;s privacy policy, one of Apple&rsquo;s core values. Although services are a bigger part of Apple&rsquo;s business than ever before, these teams remain small, nimble, and cross-functional, offering greater exposure to the array of opportunities here. 
 
We&rsquo;re looking for an engineer to join the team working on defining the future of our privacy-first instrumentation capabilities. You will work at the intersection of product management and engineering with a number of cross-functional stakeholders to answer two main questions: What data should we collect for our products and services and how will we get that data from client devices while preserving privacy? 
 
Description 
 
You&rsquo;ll be tasked with designing, launching, and supporting new data infrastructure products as vital to answer high-level analytics questions at scale. 
 
Your responsibilities will include all aspects of software development management, from brainstorming, design and analysis to development, implementation and maintenance. Additionally, you'll be tasked with defining the strategy for new data infrastructure products as necessary to answer high-level analytics questions at scale. Finally, you will create and maintain instrumentation specifications for all new features, detailing the fields, values and when the data is collected and when for all new features released across ASE products and services. 
 
To accomplish all this, you&rsquo;ll collaborate with a wide range of collaborators including product managers, client and server engineering, data scientists/business analysts, privacy engineers and attorneys, QA, and more. 
 
You will: 
 
<ul><li>Design and implement innovative Privacy-preserving systems to be used across ASE products and services</li></ul> 
<ul><li>Design and develop frameworks and tools to collect analytics data from our products and services on all platforms, including iOS, iPadOS, macOS, tvOS, watchOS, visionOS, web browsers, and third party platforms.</li></ul> 
<ul><li>Own the end-to-end product lifecycle for client instrumentation capabilities, creating detailed specifications that provide clear guidance to engineering, data science, and QA stakeholders</li></ul> 
<ul><li>Manage the end-to-end design, launch, and support of new data infrastructure as needed to address sophisticated analytics needs, including technical system design and implementation</li></ul> 
<ul><li>Advise business and engineering team members by serving as a data collection subject-matter-expert who understands how analytics-related asks will impact numerous server and client engineering systems</li></ul> 
<ul><li>Lead discussions with privacy and legal teams to ensure that both Apple&rsquo;s analytics needs are met and consumer privacy is protected</li></ul> 
The people here at Apple don&rsquo;t just create products they create the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
&quot;,&quot;responsibilities&quot;:&quot;You'll design, launch, and support new data infrastructure products crucial for answering high-level analytics questions at scale. 
 
Your responsibilities will include all aspects of software development, from brainstorming, design and analysis to implementation and maintenance. Additionally, you'll be tasked with defining the strategy for new data infrastructure products as necessary to answer high-level analytics questions at scale. Finally, you will be expected to create and maintain instrumentation specifications documents that specify what fields and values are collected and when new features released across ASE products and services. 
 
To accomplish all this, you&rsquo;ll collaborate with a wide range of partners including product managers, client and server engineering, data scientists/business analysts, privacy engineers, attorneys, QA, and more. 
 
You will: 
 
Design, and implement innovative Privacy-preserving systems to be used across ASE products and services 
 
Design and develop frameworks and tools to collect analytics data from our products and services on all platforms, including iOS, iPadOS, macOS, tvOS, watchOS, visionOS, web browsers, and third party platforms. 
 
Own the end-to-end product lifecycle for client instrumentation capabilities, creating detailed specifications that provide clear guidance to engineering, data science, and QA stakeholders 
 
Manage the end-to-end design, launch, and support of new data infrastructure as needed to address complex analytics needs, including technical system design and implementation 
 
Advise business and engineering stakeholders by serving as a data collection subject-matter-expert who understands how analytics-related asks will impact numerous server and client engineering systems 
 
Lead discussions with privacy and legal teams to ensure that both Apple&rsquo;s analytics needs are met and consumer privacy is protected 
 
Preferred Qualifications 
 
Ability to assist in the creation and enforcement of privacy and compliance policies and guidelines across ASE and Apple 
 
Industry experience in Privacy-Enhancing Technologies for large-scale distributed systems 
 
Experience with differential privacy, private data-synchronization across systems and devices, data minimization, tokenization, cryptography 
 
Minimum Qualifications 
 
5+ years of experience working as a software engineer, technical product manager, or engineering focused management consultant 
 
Strong software design skills, coupled with a deep knowledge of data structures and algorithms 
 
Comfort working with large, cross-functional teams spread across multiple locations 
 
Strong communication and collaboration skills: The ability to translate ambiguous high-level analytics questions into concrete engineering asks 
 
Strong prioritization skills with the ability to manage multiple programs simultaneously with overlapping deadlines 
 
5+ years of professional experience with some or all of the following: data or analytics systems, frameworks or toolkits, Swift, Objective-C, JavaScript, C/C++, Java, TypeScript, React, Angular, Ember, Vue 
 
BS or MS in Computer Science or equivalent industry 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 $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Software Engineer - Analytics and Data Privacy

Are you excited about building innovative generative AI experiences that empower millions of users daily? Do you thrive in collaborative environments and enjoy applying your machine learning expertise to real-world user experiences? If so, we&rsquo;d love to hear from you. We&rsquo;re looking for a Senior Machine Learning Engineer to join the Apple Intelligence Data Platform team. This team powers key intelligence features across Apple&rsquo;s ecosystem - including Siri Suggestions, the Shortcuts app, and more - by building scalable, privacy-conscious ML systems! Our team is responsible for the Research, Development and Deployment of the core platform that powers Apple Intelligence on device and on private compute cloud - adapters, speculative decoding, guided generation to name a few. Our team is responsible for underpinning all the Apple Intelligence features we shipped to our customers including Writing Tools, Notification Summaries, ChatGPT integration, Siri and more. Our team has a great mix of talent across Machine Learning and Software Engineering. 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. Proactive Intelligence is central to Apple Intelligence. We&rsquo;re building a contextual, on-device platform that anticipates user needs - from predicting which app you'll launch next to understanding the difference between work and leisure modes. This is your opportunity to help shape the next generation of personal, privacy-preserving intelligence for millions of users! https://www.apple.com/apple-intelligence/ (https://www.apple.com/apple-intelligence/) 
 
Description 
 
As an engineer on the Apple Intelligence Data Platform team, you will work on developing and integrating foundational components for on-device and cloud-based intelligence. You will focus on designing, building, and deploying scalable agent systems that understand your context and personal knowledge. Your work will directly influence how users interact with Apple products through context-aware, proactive, and personalized experiences. This role is ideal for candidates with hands-on experience in Vector databases, Knowledge Graphs, Semantic Search, Retrieval-Augmented Generation (RAG), decoding strategies, Generative AI inference, and prompt optimization. You will collaborate closely with several engineering teams at Apple -such as Accessibility, Hardware, Human Interface, NLP, Privacy, etc- to power exciting Apple Intelligence features and ship them to our customers. 
 
Preferred Qualifications 
 
MS or Ph. D in Computer Science or a related field 
 
Deep understanding of machine learning and deep learning algorithms 
 
Experience in LLM, machine learning, deep learning, information retrieval or natural language processing 
 
Strong analytical and independent problem-solving skills 
 
Experience working in cross-functional teams across product, design, and infrastructure 
 
Minimum Qualifications 
 
5+ years of increasing responsibility and relevant experience 
 
Bachelor's Degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or a related field. 
 
Experience in Knowledge Graphs (KG), RAG systems, integration of LLMs with external memories, Vector databases and related fields. 
 
Excellent software design, problem solving, critical thinking and collaborative skills including written and verbal communication 
 
Proficiency in one or more of the following languages: Python, Go, Java, C++, or Swift 
 
Ability to understand/clarify product requirements and translate them into technical tasks in ML modeling and engineering 
 
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 $139,500 and $258,100, 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 Machine Learning Engineer, Apple Intelligence Data Platform

Deloitte

<div>Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey. 
 
Recruiting for this role ends on 5/1/2026. 
 
Work you'll do 
 
As a People Data &amp; Analytics Senior Consultant, you will engage with clients to advance their people analytics capabilities across strategy, people, process, data and technology and to help them to deliver business-driven, actionable people insights across work, workforce and workplace topics (e.g., attrition, mobility, future of work, talent acquisition, compensation, performance management, etc.). 
 
You'll work with an experienced team to help organizations navigate the future with confidence, embracing decision-making with clear, data-driven insights. Depending on your passion, capability and experience your project work could include the following:
 
<ul><li>Conduct current state assessments to understand People Analytics maturity, synthesize findings, and communicate key themes coming out of discovery work</li><li>
Support and lead the development of a client's people analytics vision, strategy, operating model and roadmap for igniting and scaling People Analytics</li><li>
Utilize Human Capital Management (HCM), People Analytics or enterprise BI platforms to design, build, test and deploy people analytics dashboards, data visualizations and predictive models</li><li>
Assist with end-to-end analytics process, including cleansing and wrangling structured and unstructured data, designing and building analytics and models, extracting insights and findings, visualizing outputs, and communicating outcomes</li><li>
Leverage quantitative and qualitative data and analytics methods to analyze client data across HR and People Analytics focus areas</li><li>
Define top client business questions and challenges by conducting client interviews, synthesizing findings, and identifying key themes coming out of discovery work</li><li>
Collaborate with technical and non-technical team members across geographies, both national and international</li><li>
Develop data visualizations that highlight key insights to help clients make informed business decisions related to human capital issues</li></ul> 
We're looking for an experienced data and analytics professional with a passion for the people domain to join our People Analytics team. Deloitte's People Analytics Team leverages the power of data science, analytics, visualization, platforms, and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. 
 
The Team 
 
Our HR Strategy &amp; Technology Offering is dedicated to developing leading global HR strategies and implementing cutting-edge HR technologies. We drive transformation and maximize the workforce experience, ensuring sustained HR effectiveness and value. In a world of disruption, our solutions empower organizations to navigate challenges seamlessly, enhancing their HR capabilities and fostering a resilient workforce. 
 
Qualifications 
 
Required: 
<ul><li>
Bachelor's degree</li><li>
4+ years of hands-on experience in Consulting or an equivalent role involving consultative analytics.</li><li>
4+ years of experience performing data engineering (profiling, cleansing, normalization, manipulation) and data analysis leveraging relevant tools (e.g., SQL, R, &amp; Python)</li><li>
4+ years of experience with Data Warehouses and Data Lakes (e.g., Snowflake, Databricks)</li><li>
4+ years of experience developing reporting and dashboarding in Business Intelligence Tools (e.g., Tableau, PowerBI, Qlik or similar)</li><li>
Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve</li><li>
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.</li></ul> 

Preferred: 
<ul><li>
Prior project management experience including familiarity with the end-to-end lifecycle of a project</li><li>
4+ years of experience serving the HR Domain in areas such as recruiting, attrition, compensation &amp; benefits, performance, learning &amp; development</li><li>
Prior experience with People Analytics data and technology architecture from data source to ingestion, transformation, and visualization</li><li>
Advanced Excel, Word, and PowerPoint skills</li><li>
Understanding of and exposure to advanced analytics techniques and approaches</li><li>
Strong problem solving and troubleshooting skills with the ability to exercise mature judgment</li><li>
Ability to work independently and manage multiple task assignments</li></ul> 
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900. 
 
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 
 
Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Harrisburg, Hartford, Houston, Huntsville, Indianapolis, Jacksonville, Jericho, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, San Antonio, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tallahassee, Tampa, Tempe, Tulsa, Washington DC 
 
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html 
 
For more information about Human Capital, visit our landing page at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html 
 
#HC26 #HRS&amp;T26</div>

People Data & Analytics Senior Consultant

Join Apple Maps, where our mission is to build the best map in the world. As a Senior Data Scientist 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 are seeking a highly talented and seasoned Data Scientist to join our cross-functional team, dedicated to proactively identifying opportunities and optimizing user engagement, retention, and growth within Apple Maps. You will partner closely with Product and Program teams, acting as a strategic thought leader to leverage data and inform product direction. This role offers unparalleled scope to architect, define, and build the next generation of metrics and analytical frameworks. We're looking for a creative problem-solver who can innovate within our robust privacy commitments, evolving our current metrics foundation into a comprehensive, cutting-edge insights platform. Your day-to-day responsibilities will span the full data lifecycle, from proactive exploratory data analysis and metrics design to leading deep dives and crafting and presenting executive-level strategic reports.&quot;,&quot;responsibilities&quot;:&quot;Lead the design, creation, and validation of novel metrics for user engagement, retention, and growth. 
 
Drive the development and implementation of sophisticated data products (e.g., user segmentation models, churn propensity scores, growth forecasting tools). 
 
Proactively lead deep-dive analyses to uncover insights into user behavior and inform critical business decisions. 
 
Engage with and influence partners and executive leadership to shape product strategy and roadmap with compelling, data-driven recommendations. 
 
Architect solutions to highly ambiguous product goals and complex business problems, transforming them into well-defined and solvable data science challenges. 
 
Drive the development, adoption, and best practices for advanced tools and automated data pipelines (primarily using Python and SQL-based ETL frameworks) to ensure efficiency and scalability. 
 
Mentor and guide junior data scientists, fostering their technical and analytical growth. 
 
Champion new ideas and analytical approaches, pushing the team towards innovative solutions and methodologies. 
 
Preferred Qualifications 
 
Deep expertise in user engagement analytics, retention strategies, and/or growth modeling. 
 
Extensive experience with large data sets using technologies like Hadoop and Spark. 
 
Demonstrated experience in architecting and implementing automated analytics tasks and data pipelines at scale. 
 
Proven track record of leading complex projects within highly cross-functional teams, driving consensus and delivering results. 
 
Experience mentoring junior team members and contributing to a data science community. 
 
Experience contributing to product strategy and roadmap definition. 
 
Minimum Qualifications 
 
MS/PhD in Computer Science, Statistics, Data Science, Physics, Operations Research, or similar quantitative domain. 
 
5+ years of industry experience with data analysis at web scale or relevant work experience, demonstrating increasing levels of responsibility and impact. 
 
Expert proficiency in Python for data manipulation, analysis, and modeling. 
 
Expert proficiency in at least one database language (e.g., SQL, Snowflake) for complex data extraction and transformation. 
 
Proven ability to translate highly ambiguous business questions and strategic needs into robust technical requirements and analytical solutions. 
 
Deep understanding and practical application of advanced statistical techniques and modeling, including predictive modeling and causal inference. 
 
Exceptional communication and presentation skills, with a track record of influencing product and executive leadership. 
 
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 $163,300 and $290,100, 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 Scientist - Maps Eval

The SWE Data organization seeks to improve products by using data as the voice of our customers. Within this organization, the Search Data Engineering team builds systems that process data reliably at scale to generate high-quality datasets that support confident, data informed decision-making for improving understanding capabilities of Search capabilities. 
 
We&rsquo;re looking for exceptional data engineers who are passionate about our product and values; who love working with data at scale, and who are committed to continuously improve. As a part of this group, you will work with petabytes of data daily using diverse technologies. You will be expected to effectively partner with upstream engineering &amp; privacy teams and downstream consumers, including data scientists and ML engineers. 
 
Description 
 
In this role, you will be building ultra large scale batch &amp; streaming datasets to support analytics, experimentation and machine learning and helping to drive our self-serve strategy for reporting on-behalf of data scientists and product engineers as we collectively make product better. 
 
You will help design instrumentation required to log data from device and server side upholding Apple&rsquo;s privacy promise and validate data is flowing in the correct shape, frequency, and quality into the Data Warehouse. Curate a high performance and easy to understand data model that meets the needs of the many. Identify common patterns and build self-serve tools to scale data engineering, and automate lifecycle of datasets with the highest standards of data quality. Educate your consumers on how to access your products, assuring transparency and understanding in logic definitions and enabling self-service. 
 
&quot;,&quot;responsibilities&quot;:&quot; 
 
Preferred Qualifications 
 
Proficiency in at least one high-level programming language (Python, Java, Scala, Go or equivalent). 
 
Experience with large, complex, highly dimensional data sets; hands-on experience with SQL. 
 
Experience working with cross-functional teams to collect business requirements, build consensus, and manage expectations 
 
You are self-directed and capable of operating amidst ambiguity. 
 
You are humble, continually growing in self-awareness, and possessing a growth mindset. 
 
You are curious and have excellent written and verbal communication as well as problem-solving skills. 
 
You are excited about digging into massive petabyte-scale semi-structured datasets. 
 
MS in CS, Engineering, Math, Statistics, or a related field or equivalent practical experience in data engineering. 
 
Minimum Qualifications 
 
5+ years of technical experience designing, building, and maintaining distributed data processing platforms. 
 
3+ years of industry experience working with batch or streaming distributed data processing technologies (e.g. Spark, Flink, Kafka, Presto, Hadoop, MapReduce, etc.) for building efficient &amp; large-scale data pipelines. 
 
3+ years of data modeling experience designing data warehouse table schemas and logging schemas. 
 
BS in CS, Engineering, Math, Statistics, or a related field or equivalent practical experience in data engineering. 
 
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 $139,500 and $258,100, 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.

AIML - Sr Data Engineer, Evaluation

Cummins

<div>DESCRIPTION
We are looking for a talented Senior Embedded Software Engineer to join our team specializing in Engineering for our Cummins Inc. facility in Seattle, WA.
In this role, you will make an impact in the following ways:
<ul><li>Strengthen product performance and reliability by investigating software issues, identifying root causes, recommending corrective actions, and owning full resolution through clear documentation and follow‑through.</li>
<li>Enhance the quality and consistency of software deliverables by applying and continually improving development processes, including coding, compiling, integration, and testing using advanced tools such as static analysis, compilers, and hardware‑in‑the‑loop systems.</li>
<li>Deliver verified software features, components, and builds by collaborating with product and software development teams and ensuring alignment with stakeholder requirements and application needs.</li>
<li>Influence key decisions related to software requirements, architecture, design, and testing, positively impacting software quality, platform performance, and cross‑business‑unit integration efforts.</li>
<li>Provide technical oversight by reviewing the work of less‑experienced developers and testers, ensuring designs and implementations are robust, reusable, and efficient.</li>
<li>Lead smaller‑scale projects or take ownership of complex software components or systems, navigating ambiguity and maintaining accountability for project outcomes, timelines, and quality.</li>
<li>Drive continuous improvement by developing and optimizing work processes and systems across functions or business units, contributing to long‑term operational and product excellence.</li>
<li>Mentor and guide technicians, students, and junior engineers, supporting knowledge transfer, developing team capability, and operating as a recognized specialist within the immediate software discipline.</li>
</ul>RESPONSIBILITIES
To be successful in this role, you will need the following:
<ul><li>Engineer with a systems mindset: Translate stakeholder needs into clear, verifiable system requirements; apply systems thinking to define boundaries, interfaces, and lifecycle impacts; and make sound, timely decisions in complex environments.</li>
<li>Design robust, reliable products: Use failure mode avoidance, platform architecture, and product selection trade‑offs to mitigate risk, optimize features and variants, and improve reliability across platforms and applications.</li>
<li>Leverage analytics and validation rigor: Apply modeling, simulation, and analysis to influence design decisions; develop and execute verification and validation plans; interpret analytical, simulation, and physical test results to confirm capability and manage product risk.</li>
<li>Build software and partnerships that scale: Employ best‑practice software design and construction methods; document and communicate effectively for diverse audiences; build strong internal and external networks; and drive results through resourcefulness while valuing diverse perspectives.</li>
</ul>Education, Licenses, Certifications:
College, university, or equivalent Bachelor's degree in Engineering or appropriate STEM field is required.
Post-graduate (Master's) degree relevant to this discipline area may be required for select roles.
This position may require licensing for compliance with export controls or sanctions regulations.
Experience:
Prior Senior or Lead Engineer equivalent work experience in a relevant discipline area is required with a demonstrated track record of technical problem solving and quality decision making. Knowledge of MS Office tools is preferred
QUALIFICATIONS
Additional Information:
Key Responsibilities:
<ul><li>Design, develop, and integrate embedded C/C+ + software for automotive ECUs running AUTOSAR, RTOS, and bare ‑ metal platforms</li>
<li>Integrate controls software components (SWCs) with AUTOSAR BSW and RTE layers</li>
<li>Lead root‑cause investigations of complex software issues and drive resolution through documentation and corrective actions</li>
<li>Influence software requirements, architecture, design, and test strategies across ECU platforms</li>
<li>Participate in unit, integration, SIL, and HIL testing to validate software behavior</li>
<li>Support diagnostics, fault handling, calibration, and flashing workflows</li>
<li>Provide technical oversight, code reviews, and mentorship to junior engineers</li>
<li>Own complex software components or subsystems and lead smaller technical initiatives</li>
</ul>Preferred Qualifications:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Engineering, Electrical Engineering, Computer Science</li>
<li>5 + years of embedded software experience in automotive or safety‑critical systems</li>
<li>Strong proficiency in C/C + + (Python a plus)</li>
<li>Familiarity with Git , static analysis, and HIL/SIL environments</li>
<li>Experience with AUTOSAR Classic and ECU software integration preferred</li>
<li>Knowledge of CAN, J1939, UDS, and XCP preferred</li>
<li>Experience across the full software development lifecycle preferred</li>
<li>System level thinking and strong cross‑functional communication skills preferred</li>
</ul>Please note that the salary range provided is a good faith estimate on the applicable range. The final salary offer will be determined after considering relevant factors, including a candidate&rsquo;s qualifications and experience, where appropriate.
Job Engineering
Organization Cummins Inc.
Role Category On-site with Flexibility
Job Type Exempt - Experienced
Min Salary $120000
Max Salary $180000
ReqID 2424860
Relocation Package Yes
100% On-Site No
Cummins and E-Verify
At Cummins, we are an equal opportunity and affirmative action employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law. Cummins validates the right to work using E-Verify and will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee&rsquo;s Form I-9 to confirm work authorization. Visit http://EEOC.gov to know your rights on workplace discrimination.</div>

Senior Embedded Software Engineer

lululemon

who we are
 
lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.
 
about this team
 
lululemon Engineering is dedicated to building secure, reliable, and performant products for our guests and partners. We embrace the philosophies of Agile, DevOps, and SRE to accelerate our development process and provide the most enjoyable, inclusive, and supportive work environment possible. We believe our journey is more fun when it is collaborative, as we focus on the future instead of the past. As an Engineer, you will work as part of a global team supported by our business and architecture partners to help us collaboratively develop and deliver industry leading technology solutions that drive lululemon’s business goals.
 
core responsibilities
 
As a Senior Engineer II, you will work as the technical leader for the product(s) your team delivers. You will be counted on as a leader in your technology space, as you contribute to all areas of development and operations (pre-production to production). As a Senior Engineer II, you will dedicate a fair amount of time to the planning and discovery of tools and practices inside your given area of expertise. You will apply that knowledge by working closely with Staff Engineers to promote platform level change. Senior Engineer IIs, take production readiness and performance personally and help drive continuous improvement. You will be part of a day-to-day production release team and may perform on-call support functions as needed. You will be considered the technical owner of the production system(s) you work on and focus on how your product(s) are delivered and how to optimize them for efficiency, security and reliability.
 <ul>
<li>Main contributor for product roadmaps and reliability strategy</li>
<li>Partner with project management to deliver status and performance updates</li>
<li>Conduct research to aid in product development and tools selection</li>
<li>Provide an escalation point and participate in on-call support rotations</li>
<li>Actively monitor key metrics, reports on trends, and make improvement recommendations</li>
<li>Facilitate an Engineering Community of Practice for your product(s)</li>
<li>Contribute to engineering automation, management or development of production level systems</li>
<li>Review product roadmaps and guide intake acceptance for a set of production systems</li>
<li>Own reliability for a defined set of production systems</li>
<li>Own the delivery lifecycle for a defined set of production systems</li>
</ul>
qualifications
 <ul>
<li>Completed Bachelor’s degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible</li>
<li>Eight+ years of engineering experience</li>
<li>Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space</li>
<li>Apply proven SRE methodologies to maintain system reliability, scalability, and rapid incident recovery.</li>
<li>Architect and oversee infrastructure platforms that enable efficient development, deployment, and operational excellence.</li>
<li>Implement robust alerting strategies to detect anomalies early and trigger rapid response actions.</li>
<li>Design comprehensive monitoring solutions that track performance metrics, system health, and user experience.</li>
<li>Leverage Datadog for real‑time observability, analytics, and integration across applications and services.</li>
<li>Utilize Splunk to collect, index, and analyze log data for security, compliance, and operational insights.</li>
<li>Incorporate Quantametrics to deliver deep performance benchmarking and optimization recommendations.</li>
<li>Ability to assume the leadership/mentorship of Engineers</li>
</ul>
must haves
 <ul>
<li>Acknowledge the presence of choice in every moment and take personal responsibility for your life.</li>
<li>Possess an entrepreneurial spirit and continuously innovate to achieve great results.</li>
<li>Communicate with honesty and kindness and create the space for others to do the same.</li>
<li>Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.</li>
<li>Foster connection by putting people first and building trusting relationships.</li>
<li>Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously.</li>
</ul>
additional notes
 Authorization to work in the United States is required for this role.
 
compensation and benefits package
 
lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $136,200 - $178,700 annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.
 
At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:
 <ul>
<li>Extended health and dental benefits, and mental health plans</li>
<li>Paid time off</li>
<li>Savings and retirement plan matching</li>
<li>Generous employee discount</li>
<li>Fitness & yoga classes</li>
<li>Parenthood top-up</li>
<li>Extensive catalog of development course offerings</li>
<li>People networks, mentorship programs, and leadership series (to name a few)</li>
</ul>
Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.
 
workplace arrangement
 
In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.
 
#LI-Onsite
 
#LI-VJ1

Senior Engineer II - Digital Platforms - SRE/Datadog

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