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senior application developer data products

Starbucks

<div>Now Brewing &ndash; Application Developer Sr. &ndash; Data Engineering &amp; Reporting Solutions! #tobeapartner 
 
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Senior Application Developer on the Data Engineering &amp; Reporting Solutions Team, you will be responsible for designing and developing intelligent, data-driven applications and pipelines that leverage AI and automation to enhance reporting and analytics capabilities. You will integrate advanced machine learning models and AI-powered data processing techniques to deliver predictive insights and optimize decision-making. Collaborating with cross-functional teams, you will translate business requirements into scalable, cloud-based solutions, ensuring data integrity, security, and performance while driving innovation through AI-driven reporting and visualization tools. 
As a Application Developer Sr., you will&hellip;
Technical Design and Implementation<ul><li>
Collaborates in planning, decomposing, estimating, scheduling, prioritization and resource allocation exercises. Mitigates risk with prototypes for complex problems as appropriate. Build incrementally, with an eye toward vision of the final product. Provides transparency in approach and progress, throughout the process.</li><li>
Participates in the solution design process: requirements gathering and backlog refinement, shapes and guides systems approach, helps with project initiation, contributes to functional design, and leads technical design and development.</li><li>
Develops software solutions to business problems. Leverages established design patterns and coding standards. Builds solutions that are secure, durable, scalable, flexible, and accessible and proactively mitigate against production support issues.</li><li>
Automates test coverage per platform capabilities and requirements. Establishes and maintains continuous build and integration testing on applicable platforms and assists with manual system and integration testing efforts.</li><li>
Key contributor and driver in the deployment approach, including planning and execution, data conversion approach, script development and execution, warranty period and transition of the solution to the platform's operational context.</li><li>
Operates in both waterfall and Agile Software Development Lifecycle (SDLC) processes and methodologies. 
 
Platform Stewardship</li><li>
Proactively participates in helping shape candidate solutions on the platform. This consultative part of the role explores the business capability portfolio to guide and direct solution options to ensure health of the platform.</li><li>
Plays a creative role in the Platform Stewardship portfolio. Contributes to the vision, roadmap, and platform investments needed to take our business solutions to the next level. Identifies, influences, sells and prioritizes innovative platform opportunities, as well as technical debt, with regular reviews, creating programs and solutions to raise the level of the platform offering or remediate systemic operational problems.</li><li>
Partners with cross functional teams, such as Infrastructure, Security, Architecture, QA and key Development teams, to strengthen and elevate the platform from a technology perspective. Successfully drives designs and solutions through enterprise processes and governance to ensure compliant, secure and supportable solutions.</li><li>
Deepens vendor relationships to understand and influence vendor product offerings and roadmaps, improves support engagement and gains insight into technology trends.</li><li>
Contributes to the platform development community by providing input, content and feedback on design patterns, coding standards, and shared libraries.</li></ul> 
<div>
We&rsquo;d love to hear from people with:
Basic Qualifications<ul><li>
10+ years of professional industry experience with software development</li><li>
Bachelor&rsquo;s degree in computer science or related field</li><li>
Expertise in working with Databricks &amp; BI-Apps.</li></ul> 
Preferred Qualifications
Technical Proficiency<ul><li>
Knowledge of data structures, algorithms and computer science concepts relative to the platform.</li><li>
Mastery of relevant development languages, tools, frameworks, utilities and technical dependencies.</li><li>
Understanding of implications from design and implementation choices toward building secure, scalable, durable,flexible, accessible solutions.</li><li>
Aptitude to pick up new technologies and trends, as they become relevant for the business and our platforms. Examples include IoT, Big</li><li>
Data, REST Services, mobile, and incorporating cloud components.</li><li>
Ability to write and value high quality, reusable software with minimal defects.</li><li>
Ability to learn and incorporate new technologies, concepts and development languages.</li><li>
Thorough understanding of data transport mechanisms and integrations including synchronous, asynchronous, bulk data, tightly and loosely coupled methods.</li><li>
Working understanding of application architecture, infrastructure and security concepts and technical implementation.</li><li>
Ability to analyze, diagnose and propose solutions to user problems.</li><li>
Ability to understand and escalate technical challenges with options and recommendations.</li></ul> 
Domain Proficiency<ul><li>
Thorough understanding of relevant platform and applications, including established API&rsquo;s, system activity components, process flows, the underlying data model, implementation specifics of important business rules, batch jobs, user interface components, and application configuration.</li><li>
Experience in designing and developing relevant enhancements on top of industry COTS (Commercial Of The Shelf) applications that differentiate and/or provide competitive advantage.</li><li>
Knowledge of business context and trends, as well as the business customers&rsquo; opportunities. Awareness of the functional aspects of the solution.</li></ul> 
Advanced Technical Skills<ul><li>
Proficiency in Python, SQL, and modern ETL frameworks for data engineering.</li><li>
Experience with data modeling, data warehousing, and reporting solutions (Power BI, Tableau, or similar).</li><li>
Hands-on experience with cloud platforms (Azure, AWS, or GCP) and services like Azure Data Factory, Databricks, or Snowflake.</li><li>
Familiarity with big data technologies (Spark, Hadoop) and distributed computing.</li></ul> 
AI &amp; Machine Learning Integration<ul><li>
Practical experience integrating AI/ML models into data pipelines for predictive analytics and intelligent reporting.</li><li>
Knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps practices for model deployment and monitoring.</li><li>
Ability to design AI-driven automation for data cleansing, anomaly detection, and trend forecasting.</li></ul> 
Application Development &amp; Automation<ul><li>
Expertise in API development and microservices architecture for data and AI services.</li><li>
Experience with CI/CD pipelines, DevOps, and containerization (Docker, Kubernetes) for scalable deployments.</li><li>
Familiarity with orchestration tools for AI workflows (e.g., Airflow, MLflow).</li></ul> 
Data Governance &amp; Responsible AI<ul><li>
Understanding of data security, privacy compliance (GDPR, HIPAA), and ethical AI principles.</li><li>
Experience implementing data quality checks, bias detection, and model explainability.</li></ul> 
Analytical &amp; Problem-Solving<ul><li>
Ability to design optimized, AI-enhanced data pipelines for large-scale analytics and reporting.</li><li>
Strong troubleshooting skills for performance tuning, query optimization, and model accuracy improvements.</li></ul> 
Leadership &amp; Collaboration<ul><li>
Proven track record of mentoring developers and promoting AI best practices.</li><li>
Strong communication skills for collaboration with data scientists, analysts, and business stakeholders.</li></ul> 
Certifications (Preferred)<ul><li>
Microsoft Certified: Azure Data Engineer Associate or Azure AI Engineer Associate.</li><li>
AWS Certified Machine Learning &ndash; Specialty or equivalent cloud AI certifications.</li></ul><div> 
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com. 
<ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul></div>
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week 
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. 
 
We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply. 
 
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com.</div></div>

senior application developer- data products

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The AWS Hardware Engineering team develops server designs for Amazon's cloud services. Our designs prioritize frugality and operational excellence, supporting the AWS business and millions of customers who rely on AWS daily. Our engineers address complex technology challenges and build reliable, high-quality components that enable AWS to execute important business strategies. 
 
The successful candidate for this role will be a motivated, proactive self-starter with strong curiosity. You will be a Field Programmable Gate Array (FPGA) programmable logic expert with experience in digital hardware and embedded firmware, and committed to expanding your knowledge and skills. You will apply thorough understanding of server systems in your projects to identify optimal solutions for multi-factor problems. You will work with engineers across the company and external partners, leading development efforts through delivery and beyond. You will collaborate with internal and external development engineers across architecture, hardware, validation, and software services. AWS Engineers influence how people use computers and contribute to the future of cloud computing technology &ndash; join us in building what's next. 
 
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other essential roles. You'll collaborate with people across AWS to help us deliver high standards for safety and security while providing scalable capacity at competitive costs for our customers. You'll experience an inclusive culture that welcomes bold ideas and empowers you to own them through completion. 
 
Key job responsibilities 
This individual contributor position is part of an AWS software development team responsible for FPGA programmable logic components that operate and support servers in data centers and other environments. The role requires a senior developer to own comprehensive FPGA development, including architecture, design, work estimates, implementation, verification, and validation of new features and capabilities. The senior developer will often define and lead the technical work of other team members to meet program milestones. The senior developer will also contribute to companion firmware that interfaces with programmable logic design and system-level operations that utilize FPGA functions. 
 
The senior developer is involved with firmware deployment, operational monitoring, debugging, and support to enhance fleet health. The role includes mentoring and developing junior team members, contributing to the team's technical direction, and supporting team growth to improve efficiency and quality. The senior developer will engage in technical collaboration across teams, helping to develop solutions for complex system challenges. 
 
About the team 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>8+ years of non-internship professional software development experience</li><li>8+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience with general troubleshooting/debugging of hardware</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems</li><li>Bachelor's degree in electrical engineering or equivalent</li><li>8+ years of programming with at least one hardware description language (VHDL, Verilog, SystemVerilog) experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Experience leading and influencing your team or organization</li><li>Experience with work breakdown and estimating design task effort</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Sr. SDE - CPLD / FPGA

Google

<div>
 In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
 
 
 <ul>
 <li>
 Health, dental, vision, life, disability insurance
 </li>
 <li>
 Retirement Benefits: 401(k) with company match
 </li>
 <li>
 Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
 </li>
 <li>
 Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
 </li>
 <li>
 Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
 </li>
 <li>
 Baby Bonding Leave: 18 weeks
 </li>
 <li>
 Holidays: 13 paid days per year
 
 
 </li>
 </ul>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Seattle, WA, USA; Sunnyvale, CA, USA
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience programming in Java or C++.
 </li>
 <li>
 2 years of experience programming in JavaScript or TypeScript.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical field.
 </li>
 <li>
 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
 </li>
 <li>
 2 years of experience with data structures or algorithms in either an academic or industry setting.
 </li>
 <li>
 Experience developing accessible technologies.
 </li>
 <li>
 Proficiency in code and system health, diagnosis and resolution, and software test engineering.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
 
 
 The Core team builds the technical foundation behind Google&rsquo;s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google&rsquo;s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
 
 
 The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 
 
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer III, Full Stack, Core

Serko Ltd

<div>Serko is a cutting-edge tech platform in global business travel &amp; expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world&rsquo;s leading business travel marketplace. We are proud to be an equal opportunity employer, and we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change.
With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place for India, we&rsquo;re hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product.
Requirements
We are looking for a Senior Data Scientist to build and implement cutting-edge models within AI-agentic environments to drive product performance. You will work closely with Product and cross-functional teams to shape the roadmap, identify opportunities where data can unlock growth and build scalable data products that deliver real value to our customers.
We are looking for someone to hit the ground running by delivering against an ambitious timeline to MVP and the architectural runway to build something that doesn't exist yet. You'll play a pivotal role in shaping how we use data to build smarter products, make better decisions, and accelerate growth. This is a hands-on, high-impact role where your models and insights will directly influence customer experience and business strategy. Candidates who have a demonstrable background in taking AI/ML data product to market will take preference above all else.
<h3 class="jobSectionHeader">What you'll do</h3><ul>
<li>Deliver business impact by developing and deploying world-class data science solutions across critical areas of the product and business.</li>
<li>Build and implement models within AI-agentic environments that drive product performance &mdash; including Recommender Systems (collaborative filtering, content-based filtering), Ranking algorithms, Reinforcement Learning and Deep Learning (heterogeneous graph transformer).</li>
<li>Drive velocity of delivery by eﬃciently scoping, prioritising, and executing projects while maintaining a high technical bar.</li>
<li>Solve novel problems quickly and creatively, adapting new technologies and frameworks to emerging business needs.</li>
<li>Partner with Product to co-create data-informed roadmaps, ensuring feature priorities align with measurable outcomes.</li>
<li>Identify and tackle opportunities and risks across the business that can be addressed through data.</li>
<li>Communicate clearly with senior stakeholders by translating complex technical problems into concise, digestible business terms.</li>
<li>Mentor and lead other data scientists, analysts, and engineers, fostering a culture of collaboration, curiosity, and innovation.</li>
</ul><h3 class="jobSectionHeader">
What you'll bring</h3><ul>
<li>Proven record of building and implementing models at velocity to drive tangible business outcomes.</li>
<li>Expertise in machine learning, applied statistics, and modern AI/ML techniques.</li>
<li>Strong grasp of experimentation frameworks and designing for scalability and maintainability in production.</li>
<li>Exceptional communication skills with a demonstrated ability to distil technical complexity for non-technical audiences.</li>
<li>Deep understanding of product development cycles and how data science integrates into product decisions.</li>
<li>Experience mentoring or leading a data science team.</li>
<li>Strong coding skills in Python (or similar) and familiarity with key data frameworks and pipelines.</li>
<li>Curious, proactive mindset with the ability to spot unseen opportunities and innovate under ambiguity.</li>
</ul>
Benefits
At Serko, we aim to create a place where people can come and do their best work. This means you&rsquo;ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact.
Some of the benefits of working at Serko are:<ul>
<li>
A competitive base pay</li>
<li>Medical Benefits</li>
<li>Discretionary incentive plan based on individual and company performance</li>
<li>Focus on development: Access to a learning &amp; development platform and opportunity for you to own your career pathways</li>
<li>Flexible work policy</li></ul></div>

Senior Data Scientist

Apple

At Apple, we believe that technology should enrich people's lives in meaningful ways. Apple Services-including the App Store, Apple Music, Apple TV+, and Podcasts-connect millions of users worldwide to the content and experiences they love. Behind these services are sophisticated AI and machine learning systems that power personalized recommendations, intelligent search, and content discovery. The quality of these experiences depends fundamentally on the integrity of the data that fuels them. 
 
Join the Human-centered AI (HAI) organization within Apple Services Engineering as a Senior Applied Scientist on our Data Quality Operations team. This is your opportunity to shape the future of data quality at Apple, working at the intersection of cutting-edge machine learning, large language models, and rigorous scientific methodology. You'll be at the forefront of designing and implementing novel, scalable quality control solutions which ensure our AI-powered services meet Apple's exacting standards for a high-quality user experience. If you're passionate about applying scientific rigor to real-world problems, thrive on innovation, and want your work to impact hundreds of millions of users, this role offers an exceptional opportunity to make a lasting contribution to products people use every day. 
 
Description 
 
We are seeking a Senior Applied Scientist to lead the design and implementation of novel, scalable quality control solutions for Apple Services. In this role, you will develop AI or ML solutions for programatically generating gold standard datasets, create anomaly detection systems, and pioneer use of Large Language Models for automated quality control. You will work closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance. 
 
&quot;,&quot;responsibilities&quot;:&quot;Develop methodologies and systems to programatically generating gold standard datasets to measure and improve data quality across diverse content types. 
 
Build and validate LLM-based grading systems that align with human judgment for tasks including content classification, quality assessment, and metadata validation. 
 
Create and deploy anomaly detection systems to proactively identify data inconsistencies, biases, and errors across production pipelines. 
 
Collaborate with AI/ML engineering, product, and data science teams to identify quality challenges and integrate solutions into production workflows. 
 
Stay abreast of the latest advancements in machine learning, AI, data quality, and LLM research, applying relevant techniques to enhance our capabilities. 
 
Mentor and guide junior team members, fostering technical excellence and innovation in data quality operations. 
 
Communicate findings and recommendations clearly to technical and non-technical stakeholders, including senior leadership. 
 
Preferred Qualifications 
 
PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience, 
 
Experience with data labeling operations, annotation quality frameworks, or human-in-the-loop systems. 
 
Familiarity with prompt optimization frameworks or automated prompt engineering. 
 
Experience in natural language processing (NLP) or natural language understanding (NLU). 
 
Experience with MLOps practices and tools for deploying, monitoring, and managing ML models in production. 
 
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or large-scale distributed infrastructure systems. 
 
Prior experience contributing to open-source projects or publishing research in relevant academic conferences or journals. 
 
Minimum Qualifications 
 
3+ years of industry experience in an Applied Scientist, Machine Learning Engineer, or Data Scientist role with focus on data quality, evaluation, or related areas. 
 
Proven experience designing, building, and deploying scalable data quality or evaluation systems in production environments. 
 
Strong hands-on experience with Large Language Models (LLMs) including prompt engineering, fine-tuning, and applications such as grading, validation, or classification. 
 
Proficiency in Python, data science libraries (pandas, NumPy, scikit-learn, PyTorch, TensorFlow), SQL, and distributed computing environments (Spark, Hadoop). 
 
MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience, OR BS degree in a related quantitative field with 8+ years of relevant 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 .

Sr Applied Scientist, AI/ML Evaluation Quality, Apple Services Engineering

We are the Workload Identity team in the Apple Services Engineering Security org. Our team&rsquo;s primary responsibility is to manage and establish identities for software applications, services, and containers to securely access cloud resources, ensuring proper authentication and authorization for these workloads without requiring manual credential management. 
 
We are expanding our team and looking to add a Senior Software Engineer who will play a critical role in ensuring our customers adhere to the latest and most effective security practices for addressing identity. We are looking for a passionate and talented technical lead engineer who will focus on creating fundamental security services, addressing identity challenges on a large scale within the ASE organization. Success in this role requires individuals to possess a blend of profound technical expertise, extensive knowledge in security, and substantial experience in large-scale operations. 
 
Description 
 
Your duties in this role will include defining, advocating, and driving the adoption of a standardized set of minimum security requirements while monitoring progress. You will have direct influence on the future of our security protocols, guiding engineering teams as they incorporate secure practices and tools into their development processes. 
 
Preferred Qualifications 
 
Hands-on experience with Systems, including the ability to configure and troubleshoot system initialization processes 
 
Understanding of network security principles, protocols, and technologies, including firewalls, VPNs, and secure communication channels 
 
Familiarity with incident response processes and the ability to respond to security incidents effectively 
 
Knowledge of cryptographic algorithms and protocols for securing data, including TLS/SSL, digital signatures, hashing, and encryption 
 
Knowledge of authentication and authorization mechanisms, including OAuth, JWT, and other identity management protocols 
 
Minimum Qualifications 
 
5 + years of software development or production operations experience in a large-scale environment 
 
Strong programming skills in Golang, as you&rsquo;ll be working extensively with Go-based applications 
 
Proven experience building and operating large scale, highly available, distributed, and fault tolerant systems 
 
Excellent understanding of operating systems concepts including multi-threading, memory management, networking and storage, performance and scale 
 
Experience with Kubernetes, Docker, and containerization (CNCF Kubernetes Developer or equivalent) 
 
Knowledge of securing APIs, including input validation, authentication, and authorization mechanisms for RESTful and gRPC APIs 
 
BS/MS in Computer Science or equivalent 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 .

Senior Software Engineer, Identity

<div>Job Summary and Mission
Now Brewing &ndash; # technical product manager sr &ndash; Data Engineering &amp; Reporting Solutions! #tobeapartner 
 
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Senior Technical Product Manager on the Data Engineering &amp; Reporting Solutions team, you will own the vision, strategy, and roadmap for data products that power enterprise reporting and analytics. You will collaborate closely with engineering, analytics, and business stakeholders to define requirements, prioritize features, and deliver scalable data pipelines, reporting platforms, and self-service solutions. Your role will focus on enabling data-driven decision-making by ensuring high-quality, secure, and compliant data solutions that meet business needs while driving innovation and operational efficiency.
As a technical product manager sr &ndash; Data Engineering &amp; Reporting Solutions, you will&hellip;<ul><li>
Manages product planning and development through day-to-day collaboration and decision making with a cross-functional team including architects, developers, designers and business or subject matter representatives</li><li>
Translates customer experience into technical requirements and product solutions</li><li>
Drives technical solution for large features/technically complex features independently.</li><li>
Is technically adept on end-to-end system architecture</li><li>
Creates data flows and functional and technical specifications as needed</li><li>
Responsible for defining the acceptance criteria of a product feature</li><li>
Responsible for documentation of requirements, and acceptance criteria per process, provides guidance to others in working team</li><li>
Works with producers, engineering, and QA to align on feature sizing and delivery planning</li><li>
Ensures engineering team has needed information on endpoints, inputs and outputs</li><li>
Helps resolve technical blocking issues and coordinates solutions across multiple technical teams</li><li>
Performs validation of feature against customer and business goals and acceptance criteria</li><li>
Determines technical feasibility, dependencies, and constraints of features with support from neighboring technology teams as needed.</li><li>
Identifies technical tradeoffs, escalates risks, and manages mitigation in collaboration with neighbor ST teams</li><li>
Communicates effectively with technology and business teams independently</li><li>
Acts as a coach/mentor to team on various technical product manager competencies</li><li>
Works with engineering to define technical solution for experiment definition</li><li>
Defines product performance and effectiveness metrics that measure and benchmark product success.</li><li>
Monitors feature performance to find opportunities to address continuous improvement.</li><li>
Drives optimization and process improvements between product, design, and development teams</li><li>
Stays abreast of new technology capabilities and leverages knowledge in contributing to product solutions. Recommends and plans innovative products and features.</li><li>
Works with product managers to scope and prioritize upcoming projects into the roadmap</li><li>
Manages a cross-team digital product roadmap</li></ul> 

Preferred Qualifications<ul><li>
15+ years of industry experience in a technology environment with a record of successfully delivering complex products.</li><li>
10 + years of In-depth Knowledge of Supply chain and Finance domains (System Knowledge of Oracle EBS , O9, ASCP, OTM, TRACE, ecommerce platform&rsquo;s )</li><li>
5 + years of deep expertise in reporting Tools (BI-Apps , OAC, Tableau, Altryex, Power BI ,Incorta , Databricks)</li><li>
Good understanding of building data products &amp; hubs in Data Lake.</li><li>
Exposure to Control Tower , Agentic AI , Process Mining.</li><li>
Advanced Degree in Computer Science, Data Engineering, Business Analytics, or related field (Master&rsquo;s or MBA preferred).</li><li>
5+ years of experience in technical product management with a focus on data platforms, data engineering, or analytics solutions.</li><li>
Proven experience working with big data technologies (e.g., Spark, Hadoop, Snowflake, Databricks) and data warehousing concepts.</li><li>
Strong understanding of ETL/ELT pipelines, data modeling, and data governance frameworks.</li><li>
Hands-on experience with SQL, Python, or other scripting languages for data analysis and validation.</li><li>
Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.</li><li>
Experience defining and delivering data-driven products, including reporting and visualization solutions (e.g., Power BI, Tableau, Looker).</li><li>
Knowledge of data security, compliance, and privacy regulations (GDPR, CCPA).</li><li>
Demonstrated ability to translate business requirements into technical specifications and drive alignment across engineering and business
stakeholders.</li> 
<li>
Strong analytical and problem-solving skills, with the ability to make data-informed decisions.</li><li>
Excellent communication and stakeholder management skills, including experience influencing senior leadership.</li><li>
Experience with Agile methodologies and tools (e.g., Jira, Confluence).</li><li>
Familiarity with machine learning concepts and how they integrate with data platforms (a plus).</li><li>
Recent experience in building applications for web and/or mobile</li><li>
Ability to read and understand programming languages</li><li>
Strong verbal and written communications skills, ability to quickly master new systems and/or processes, capacity to stay organized while managing competing priorities</li><li>
Hands on experience in developing technical roadmaps, story outlines, writing user stories, refining product backlogs, and coordinating/prioritizing conflicting requirements in a fast-paced, changing environment</li><li>
Detail- and results-oriented, able to analyze data to justify product decisions and apply key learnings.</li><li>
Ability to thoroughly understand complex business and technical issues and influence decision making</li><li>
Ability to plan for and review technical programming specifications</li><li>
Ability to apply knowledge of multidisciplinary business principles and practices to achieve successful outcomes in cross-functional projects and activities</li><li>
Strong verbal and written communications skills</li><li>
Consistently uses communications skills to influence outcomes</li><li>
Ability to influence others without authority to get things done in a timely fashion</li><li>
Ability to balance multiple priorities and meet deadlines</li></ul><div> 
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com. 
<ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul></div>
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week.<div> 
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. 
 
We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply. 
 
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com.</div></div>

senior technical product manager- Data Product & Supply Chain

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