&lt;div&gt;&lt;/div&gt;&lt;div&gt;&lt;p&gt;&lt;span&gt;We are looking for an enthusiastic and technology-proficient Big Data Engineer, who is eager to participate in design and implementation of a top-notch Big Data solution to be deployed at massive scale. &lt;/span&gt;&lt;span&gt;Our customer is one of the world&#x27;s largest technology companies based in Silicon Valley with operations all over the world. &lt;/span&gt;&lt;span&gt;On this project we are working on the bleeding-edge of Big Data technology to develop high performance data analytics platform, which handles petabytes datasets.&lt;/span&gt;&lt;/p&gt;&lt;span&gt;&lt;span&gt;&lt;br /&gt;&lt;/span&gt;&lt;/span&gt;&lt;p&gt;&lt;span&gt;Responsibilities:&lt;/span&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Participate in design and development of Big Data analytical applications (key technologies - Hadoop, Spark, Airflow)&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Design, support and continuously enhance the project code base, continuous integration pipeline, etc.&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Write complex ETL processes and frameworks for analytics and data management&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Implement large-scale near real-time streaming data processing pipelines&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Work inside the team of industry experts on the cutting edge Big Data technologies to develop solutions for deployment at massive scale&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;span&gt;Requirements:&lt;/span&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Strong coding experience with Java &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;In-depth knowledge of Hadoop and Spark, experience with data mining and stream processing technologies (Kafka, Spark Streaming, Akka Streams)&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Understanding of the best practices in data quality and quality engineering&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Experience with version control systems, Git in particular&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Desire and ability for quick learning of new tools and technologies&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;span&gt;Would be a plus:&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Knowledge of Unix-based operating systems (bash/ssh/ps/grep etc.)&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Experience with Github-based development processes&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;Experience with Python or Scala&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Experience with JVM build systems (SBT, Maven, Gradle)&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;Communication skills since the team is spread across multiple locations&lt;p&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;span&gt;What we offer:&lt;/span&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Opportunity to work on bleeding-edge projects&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Work with a highly motivated and dedicated team&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Competitive salary&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Flexible schedule&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Benefits package &lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Corporate social events&lt;/span&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;&lt;p&gt;&lt;span&gt;Professional development opportunities&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;span&gt;NB:&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Placement and Staffing Agencies need not apply.  We do not work with C2C at this time.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;Applicants with CPT and OPT visas are welcome to apply.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt; &lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span&gt;About Us: &lt;/span&gt;&lt;/p&gt;&lt;p&gt;Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, and Central and Eastern Europe.&lt;/p&gt;&lt;p&gt;To learn more about Grid Dynamics, please visit&lt;span&gt; &lt;/span&gt;&lt;a title=\

Big Data Engineer (Java)

Be at the forefront of the fight to improve health outcomes! Join the Health Strategic Initiative (HSI) team as we explore novel ways to motivate and coach users to adopt healthier lifestyles. Our mission is to work with partners to deliver custom applications and campaigns to encourage, motivate, and reward our users to live their best, healthy lives. We will develop cutting-edge ML pipelines to learn user behavior and how best to modify it in the areas of activity, sleep, nutrition and wellness. &lt;br /&gt;As a data engineer, you will play a key role in implementing and maintaining big data pipelines, ML and analytic functions, and experimentation frameworks.&lt;br&gt;&lt;br&gt;&lt;span&gt;As a Data Engineer, your day-to-day tasks will be the following:&lt;br /&gt;Implement and maintain end-to-end data pipelines with an understanding of ML lifecycles&lt;br /&gt;Drive development of data products in collaboration with data scientists and analysts&lt;/span&gt;

Data Engineer

The AI/ML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs.&lt;br&gt;&lt;br&gt;&lt;span&gt;As a member of our fast-paced group, youll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning experience and solid engineering skills in creating outstanding search service. This role will have the following responsibilities:&lt;br /&gt;- Analyzing search ranking and relevance requirements, issues and opportunities&lt;br /&gt;- Understanding product requirements, translate them into modeling tasks and engineering tasks&lt;br /&gt;- Building machine learned models for search relevance, ranking and query understanding problems&lt;br /&gt;- Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.&lt;br /&gt;- Building end-to-end production system including query understanding and ranking to power search&lt;br /&gt;- Utilizing Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing&lt;/span&gt;

AI/ML- Machine Learning Engineer, Information Intelligence

Siris universal search engine powers search features across a variety of Apple products, including Siri Assistant, Spotlight, Safari, Messages, and News. The AI/ML 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 scalable and high quality datasets that support confident, data-driven decision making for Siri Search. &lt;br /&gt;Were 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 that hard work necessary to continuously improve. As a part of this group, you will work with petabytes of data daily using diverse technologies like Spark, Flink, Kafka, Hadoop and others. You will be expected to effectively partner with upstream engineering teams and downstream consumers, including analysts and product engineers. &lt;br /&gt;In this role you will build datasets to support analytics, experimentation, and machine learning. Specifically, you will build out stream processing applications powering real-time metrics and you will help to drive our self-serve strategy for reporting on-behalf of data scientists and product engineers as we collectively make Siri better.&lt;br&gt;&lt;br&gt;&lt;span&gt;Developing data pipelines and/or software libraries to process, transform, and analyze data to identify signals from the billions of events we collect every day&lt;br /&gt;Designing and building abstractions that hide the complexity of the underlying big data stack (HDFS, Hadoop, Hive, Impala, Spark, Kafka, Parquet, etc) and that allow partners to focus on their strengths: product, data modeling, data analysis, search, information retrieval, and machine learning&lt;br /&gt;Defining and implementing the source of truth for our most fundamental datasuch as search activity and contentas well as our core metrics across a variety of products&lt;br /&gt;Optimizing end-to-end workflows of data users (crafting libraries, providing abstractions to define jobs, scheduling data pipelines, managing access to datasets, etc)&lt;br /&gt;Building internal services and tools to help in-house partners implement, deploy and analyze datasets with a high level of autonomy and limited friction.&lt;br /&gt;Surfacing datasets in near-real-time to mission critical products and business applications throughout the company, providing the signal that feeds our machine learning algorithms as well as our daily product-defining decisions&lt;br /&gt;Automating and handling lifecycle of datasets (schema evolution, metadata store, backfill management, deprecation, migration)&lt;br /&gt;Improving the quality and reliability of our pipelines (monitoring, retry, failure detection)&lt;/span&gt;

AI/ML - Sr Search Data Engineer, AI/ML Data

Would you like to play a critical part in the next revolution of human-computer interaction? Would you like to contribute to the advancement of a product that is globally redefining how humans use voice to relate to technology? &lt;br /&gt;The AI/ML Data organization seeks to improve products by using data as the voice of our customers. Within AI/ML Data, the mission is to build the scalable &amp; high quality data sets that curate the data required to give our customers their voice. &lt;br /&gt;Were 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 that hard work necessary to continuously improve. As a part of this group, you will work with petabytes of data daily using diverse technologies like Spark, Flink, Kafka, Hadoop and others. You will be expected to effectively partner with upstream engineering teams and downstream analytical &amp; product consumers.&lt;br&gt;&lt;br&gt;&lt;span&gt;WHAT WILL FILL YOUR DAYS:&lt;br /&gt;Moving between understanding the open &amp; unanswered questions about Siri; to defining new metrics and filters; to specifying new logging necessary with the high-level goal of using data to improve Siri.&lt;br /&gt;Designing, creating, and maintaining data pipelines that populate a petabyte scale data warehouse.&lt;br /&gt;Working with data infrastructure teams providing input to improve our platform.&lt;br /&gt;Working with data producing teams to specify requirements and to transparently provide rapid feedback.&lt;br /&gt;Partnering with your teammates across Siri data to answer questions, to provide support, and to innovate in taking our data warehouse to the next level.&lt;/span&gt;

AI/ML - Sr Data Engineer, AI/ML Data

Do you think Computer Vision, NLP and Machine Learning can change the world? Do you think it can transform the way millions of people capture, discover and share the most special moments of their lives? We truly believe it can! The System Intelligence and Machine Learning (SIML) group is responsible for crafting machine learning solutions to extract high level structure information from images, videos and text shipping on all Apple platforms (macOS, iOS, tvOS, watchOS). Examples include face recognition, scene classification, OCR, handwriting recognition as well as the support for internal tools. We, the SIML Data Team, are responsible for crafting and building high quality datasets at scale. At the heart of machine learning, data defines how Apple features and products operate and what is the final user experience that will impact millions of our customers. This is an exciting time to join us: grow fast, and have an impact on multiple key features on your first day at Apple!&lt;br&gt;&lt;br&gt;&lt;span&gt;Our team works in close interaction with R&amp;D, infrastructure and client teams, as well as with other groups and other functions across Apple (legal, privacy) and externally. This position focuses on designing and implementing smart data pipelines based on advanced computer vision technology, NLP and humans in the loop. You will be responsible for the design and development of the data pipelines, automation, visualization and tools that constitute the end-to-end process for building models, from raw data to trained model to evaluation to deployment. You&#x27;ll partner with data infrastructure and data producing teams to ensure that we have high quality, representative data. You&#x27;ll work with ML engineers to refine the modeling process to enable faster iteration and better modeling decisions and deploy models more rapidly to customers. You&#x27;ll collaborate with data scientists and analysts to build insights from customer analytics and feedback into the process to complete the cycle of continuous improvement. Your work will impact hundreds of millions of Apple&#x27;s customers and help people communicate more easily in the languages and modalities of their choice.&lt;/span&gt;

ISE, SIML - Data Engineer

Bring passion and dedication to your job and there&#x27;s no telling what you could accomplish! &lt;br /&gt;Apples Applied Machine Learning team has built systems for a number of large-scale data science applications. We work on many high-impact projects that serve various Apple lines of business. We use the latest in open source technology and as committers on some of these projects, we are pushing the envelope. Working with multiple lines of business, we manage many streams of Apple-scale data. We bring it all together and extract the value. We do all this with an exceptional group of ML and software engineers, data scientists, dev-ops engineers and managers. The ideal candidate will have industry experience working on a range of classification and optimization problems, e.g. payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to Apple-scale data.&lt;br&gt;&lt;br&gt;&lt;span&gt;Join Apple&#x27;s AML Team, as a Search ML engineer. You will work with other search engineers in the team for overall success for Search and other ML based systems. Collaborate with peers from other Engineering groups, MarCom, AppleCare and operations teams to solve complex and challenging problems with efficient and scalable delivery of Search solutions.&lt;br /&gt;&lt;br /&gt;You are expected to be self-motivated, dedicated, and a solution-oriented individual. The main responsibilities for this position include: &lt;br /&gt;&lt;br /&gt;-  Define and build pipeline to ingest, process and tag search data&lt;br /&gt;&lt;br /&gt;-  Define and build pipeline to capture implicit and explicit feedback to evaluate search quality&lt;br /&gt;&lt;br /&gt;-  Identify gaps and define the solution to implement those gaps.&lt;br /&gt;&lt;br /&gt;-  Work with other engineering teams within Apple to build high quality solution.&lt;br /&gt;&lt;br /&gt;-  Implement highly scalable end to end real time serving solution.&lt;br /&gt;&lt;br /&gt;Other aspects of the job include mentoring and providing feedback to junior developers, working with the team manager and PM in estimating scope and team capacity, responding to urgent requests from executives or business needs, and maintaining the stability and high reliability of our systems.&lt;/span&gt;

Machine Learning Engineer - Applied Machine Learning (Search)

Would you like to play a critical part in the next revolution of human-computer interaction? Would you like to contribute to the advancement of a product that is globally redefining how humans use voice to relate to technology? &lt;br /&gt;The AI/ML Data organization seeks to improve products by using data as the voice of our customers. Within AI/ML Data, the mission is to build the scalable &amp; high quality data sets that curate the data required to give our customers their voice. &lt;br /&gt;Were 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 that hard work necessary to continuously improve. As a part of this group, you will work with petabytes of data daily using diverse technologies like Spark, Flink, Kafka, Hadoop and others. You will be expected to effectively partner with upstream engineering teams and downstream analytical &amp; product consumers.&lt;br&gt;&lt;br&gt;&lt;span&gt;WHAT WILL FILL YOUR DAYS:&lt;br /&gt;-  Moving between understanding the open &amp; unanswered questions about Siri; to defining new metrics and filters; to specifying new logging necessary with the high-level goal of using data to improve Siri.&lt;br /&gt;&lt;br /&gt;-  Designing, creating, and maintaining data pipelines that populate a petabyte scale data warehouse.&lt;br /&gt;&lt;br /&gt;-  Working with data infrastructure teams providing input to improve our platform.&lt;br /&gt;&lt;br /&gt;-  Working with data producing teams to specify requirements and to transparently provide rapid feedback.&lt;br /&gt;&lt;br /&gt;-  Partnering with your teammates across Siri data to answer questions, to provide support, and to innovate in taking our data warehouse to the next level.&lt;/span&gt;

Have you ever wanted to work on something that really matters? Is it important to you to help others live longer, more fulfilling lives? The Health Strategic Initiatives team is focused on just that  enabling individuals to live a healthier, happier life through personalized and compelling products. We are an experienced team of engineers, data scientists, doctors, designers, PMs, and business leaders. We work in a collaborative and dynamic environment where we are constantly pushing ourselves to redefine the industry and create delightful user experiences. Data is central to the success of our team. We work in a tight feedback loop where data insights drive feature development and design as well as defining future strategy and products. As a data engineer you contribution will be foundational to all we achieve.&lt;br&gt;&lt;br&gt;&lt;span&gt;One of your main areas of contribution will be in the area of analytics tools and services to support analytics Implement and maintain end-to-end data pipelines with structural understanding of data products Developing tools to support analytics needs and facilitate analysis and insights Create intermediate tables from raw data to support ad-hoc analyses and reporting Develop and maintain data QA framework&lt;/span&gt;

Data Engineer, Health

The Health Technologies Team conceives and proves out innovative technology for Apples future products and features in health. &lt;br /&gt;We are seeking a highly capable Biomedical Data Engineer to join a multi-disciplinary team. Successful candidates will be able to integrate with our research study leads, data scientists and engineers to develop and support effective data analysis and machine learning workflows.&lt;br&gt;&lt;br&gt;&lt;span&gt;-  Work closely with team members and study staff to design, build, launch and maintain systems for storing, aggregating and analyzing large amounts of data&lt;br /&gt;&lt;br /&gt;-  Process, troubleshoot, and clean incoming data from human studies&lt;br /&gt;&lt;br /&gt;-  Automate and monitor data ingestion and transformation pipelines, with hooks for QA, auditing, redaction and compliance checks per data management specifications&lt;br /&gt;&lt;br /&gt;-  Create and maintain databases with existing and incoming clinical data&lt;br /&gt;&lt;br /&gt;-  Architect data models and create tools to harmonize disparate data sources&lt;br /&gt;&lt;br /&gt;-  Incorporate and comply with regulations as they pertain to electronic and clinical data and databases&lt;/span&gt;

Biomedical Data Engineer - Health Technologies

The backend/big data technical lead will work in a small and dynamic team to design and implement applications and infrastructure for R&amp;D of deep learning/computer vision Apple products.&lt;br&gt;&lt;br&gt;&lt;span&gt;You will design and implement scalable solutions (terabytes of data, multiple thousands of CPUs) which will affect all the stages of the computer vision/deep learning algorithms development, including data generation, models training and failure analyses. You will work together with algorithm, data, and software engineers to productize and optimize computer vision products, which will be used by millions of Apple customers.&lt;/span&gt;

Backend/Big Data Software Engineer - Tech Lead

Do you thrive on working at analyzing state-of-the-art deep learning algorithms? Do you have a passion for constructing automation pipelines? Are you highly organized and detail-oriented? As part of our Video Engineering group, youll help deliver creative solutions to various problems that could impact the people all over the world. This Data Engineer will work closely with other members of the Video Engineering group to mine data, implement model evaluation pipeline, analyze large scale data, visualize data, and ensure the delivery is of the highest quality. This position will also require strong coding skills, presentation skills, and collaborating with multiple teams (ex: machine learning, cloud infrastructure support).&lt;br&gt;&lt;br&gt;&lt;span&gt;The responsibilities of this position includes the following for current and future products:&lt;br /&gt; - Implement algorithm evaluation methods&lt;br /&gt; - Analyze data and build data analysis tools&lt;br /&gt; - Deep-dive failure analysis&lt;br /&gt; - Discover new perspectives for old data &lt;br /&gt;- Produce / Present meaningful data visualization to higher-ups and across various involved teams&lt;/span&gt;

Data Engineer - Computer Vision

Would you like to play a critical part in the next revolution of human-computer interaction? Would you like to contribute to the advancement of a product that is globally redefining how humans use voice to relate to technology? &lt;br /&gt;The Siri Data organization seeks to improve Siri by using data as the voice of our customers. Within Siri Data, the mission of Siri data engineering is to build the scalable &amp; high quality data sets that curate the data required to give our customers their voice. &lt;br /&gt;Were 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 that hard work necessary to continuously improve. As a part of this group, you will work with petabytes of data daily using diverse technologies like Spark, Flink, Kafka, Hadoop and others. You will be expected to effectively partner with upstream engineering teams and downstream analytical &amp; product consumers.&lt;br&gt;&lt;br&gt;&lt;span&gt;WHAT WILL FILL YOUR DAYS:&lt;br /&gt;-  Moving between understanding the open &amp; unanswered questions about Siri; to defining new metrics and filters; to specifying new logging necessary with the high-level goal of using data to improve Siri.&lt;br /&gt;&lt;br /&gt;-  Designing, creating, and maintaining data pipelines that populate a petabyte scale data warehouse.&lt;br /&gt;&lt;br /&gt;-  Working with data infrastructure teams providing input to improve our platform.&lt;br /&gt;&lt;br /&gt;-  Working with data producing teams to specify requirements and to transparently provide rapid feedback.&lt;br /&gt;&lt;br /&gt;-  Partnering with your teammates across Siri data to answer questions, to provide support, and to innovate in taking our data warehouse to the next level.&lt;/span&gt;

AI/ML - Sr Data Engineer, Siri Data

Imagine what you could do here. At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there&#x27;s no telling what you could accomplish. &lt;br /&gt;ACS Data Science team is seeking an extraordinary Software Engineer to support business analytics platform with sophisticated, scalable and robust architecture that are optimized for rapid business intelligence, data analysis and data science. &lt;br /&gt;This is a highly technical, hands-on role that requires a wide and deep experience in managing infrastructure and applications across data centers and cloud services. The successful candidate will design and implement innovative approaches and tools to support low latency web applications delivering large-scale data. This role is responsible for providing technical implementation, architecture recommendations and business analysis on an enterprise level applications and services. Building and maintaining relationships with diverse sets of customers that use the platform will be equally critical to ensure the business units are successful. You will be joining a team of highly skilled, enthusiastic and passionate engineers working on this leading edge and constantly changing space.&lt;br&gt;&lt;br&gt;&lt;span&gt;The ACS Data Science team is looking for an extraordinary hands-on backend engineer to work on large-scale data analytics solutions. We&#x27;re looking for an individual who loves a challenge, tackles problems with imaginative solutions, works well in collaborative teams, and can produce high quality software under tight deadlines and constraints. You will join a hands-on software development team that furthers creativity and generates novel solutions to deliver engineering excellence. You should be a self- starter, self-motivated, able to work independently, and perform multiple tasks under minimal supervision.&lt;/span&gt;

Sr. Software Engineer, ACS Data Science

Proactive Intelligence is at the heart of an intelligent system experience that understands you and anticipates your needs. Our on-device intelligence powers features throughout Apples operating systems, including Smart Stacks, Siri Suggestions, Share Sheet suggestions, and more. &lt;br /&gt;We are building an on-device personal and contextual intelligence platform that optimizes system spaces, first-party apps, and system services to benefit the millions of people who use Apple devices every day. Were seeking your expertise to apply state-of-the-art, privacy-preserving, machine learning to solve problems like predicting what app you will launch next, understanding whether you are working or relaxing, and inferring facts about you that can be used for greater personalization throughout the system.&lt;br&gt;&lt;br&gt;&lt;span&gt;Youll join a phenomenal team of hardworking engineers and researchers on the Behavior Understanding and Extensibility Team. We work to develop predictive models of user behavior, and to make predictions available throughout the system. Were looking for a Machine Learning Engineer who can solve novel problems in areas including personalization, recommendation, and prediction to build and optimize features used by millions of people worldwide. You will bring your expertise and passion for solving exciting, real-world problems into our growing team that operates like a startup within Apple, and youll play a key role in defining our teams machine learning approach.&lt;/span&gt;

Senior Machine Learning Engineer, Behavior Understanding and Extensibility

Our Online Retail Decision Automation team is looking for passionate highly motivated, ambitious, and hands-on applied machine learning engineer to lead the way by researching and developing the next generation of algorithms used to drive the Apple Online experience. This spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), media assets generation and optimizing Apple-wide systems &amp; infrastructure. As a machine learning engineer, you will have the unique and rewarding opportunity to be part of a new projects and shape upcoming products that will delight and inspire millions of Apples customers every day.&lt;br&gt;&lt;br&gt;&lt;span&gt;As an applied machine learning engineer, you will conceptualize, design, and develop core algorithms that power our buy-flows and personalize the experience across the Apple Online Store. This includes developing production algorithms for search, recommendations and personalization, running offline experiments and building online A/B tests to run in production systems. To be successful in this role, you need a strong machine learning background, solid software development skills, a love of learning, and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a dynamic environment. &lt;br /&gt;The team responsibilities include: model development and deployment on-device and web, developing back-end data pipelines, and producing automation processes for machine learning tasks. You will closely collaborate with other engineering teams (including Hardware, QA, Infrastructure) to ensure the solutions are meeting the highest quality standards.&lt;/span&gt;

Machine Learning Engineer - Online Retail Decision Automation

Would you like to play a part in the next revolution in human-computer interaction? Contribute to a product that is redefining mobile and desktop computing, and work with the people who built the intelligent assistant that helps millions of people get things done  just by asking? &lt;br /&gt;The vision for the Siri Data organization is to improve Siri by using data as the voice of our customers. Within this organization, the mission of the Analytics team is to inform the evolution of Siri through measurement and analysis of the user experience. As a UI Backend Engineer on the team you will build data products and applications that enable analytics to inform product and engineering teams at scale, with the ultimate purpose of improving the Siri experience for Apple customers.&lt;br&gt;&lt;br&gt;&lt;span&gt;You will partner closely with Siri Data machine learning engineers, data engineers and front-end engineers to build scalable web applications servicing Siri engineering organization.&lt;br /&gt;Develop microservices that enable easier, programmatic integration of insights generation across the Siri organization.&lt;br /&gt;Build scalable web services backend and APIs to support data access and data inspection tools&lt;br /&gt;Build platforms to support Siri engineering feature iterations and A/B testing&lt;/span&gt;

AI/ML - Sr Application Backend Engineer, Siri Data

Have you ever wanted to work on something that really matters? Is it important to you to help others live longer, more fulfilling lives? The Health Strategic Initiatives team is focused on just that  enabling individuals to live a healthier, happier life through personalized and compelling products. We are an experienced team of engineers, data scientists, doctors, designers, PMs, and business leaders. We work in a collaborative and dynamic environment where we are constantly pushing ourselves to redefine the industry and create delightful user experiences. &lt;br /&gt;Data is central to the success of our team. We work in a tight feedback loop where data insights drive feature development and design as well as defining future strategy and products. As a data engineer you contribution will be foundational to all we achieve.&lt;br&gt;&lt;br&gt;&lt;span&gt;One of your main areas of contribution will be in the area of analytics tools and services to support analytics&lt;br /&gt;Implement and maintain end-to-end data pipelines with structural understanding of data products&lt;br /&gt;Developing tools to support analytics needs and facilitate analysis and insights&lt;br /&gt;Create intermediate tables from raw data to support ad-hoc analyses and reporting&lt;br /&gt;Develop and maintain data QA framework&lt;/span&gt;

At Apple, we work every day to create products that enrich peoples lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy! &lt;br /&gt;The Ad Platforms EPM team is looking for a motivated Engineering Project Manager to partner with our Product Engineering organization and help plan and deliver the frameworks, tools and capabilities that adhere to Apples high privacy standards. The EPM, working with engineering teams, will also help lead and facilitate planning, scheduling, and execution, paying close attention to project dependencies, risks, and timelines. The EPM will collaborate closely with engineers and architects to define, refine, and/or refactor solutions, approaches, and designs, applying relevant prior experiences to address new and exciting challenges that face our organization in the future!&lt;br&gt;&lt;br&gt;&lt;span&gt;Ensure on-time delivery of tools, frameworks, processes, and other software projects that establish or meet Apples quality, privacy, and security standards. Build a solid understanding of the product strategy and technology guiding our work. Apply your knowledge to help facilitate discussion and decisions regarding priorities, scope, risks, and tradeoffs. Own and drive project estimation, creation of work breakdowns, and resource planning activities. &lt;br /&gt;&lt;br /&gt;Influence, track, and lead cross-functional requirements, adherence to internal reviews and procedures, timelines, and dependencies with peers and stakeholders. Negotiate outcomes for your teams that resolve timing, scope, and resource conflicts and position us to deliver quality work that achieves business goals. Prepare and present insightful updates on key strategic initiatives to the organization and to leadership. Mentor and facilitate effective use of Scrum methodology with your teams, tailoring your approach to Apples ecosystem, toolsets, and methods.&lt;/span&gt;

Data Pipelines EPM - Ad Platforms

We are looking for a results-oriented and versatile engineer who can thrive in an Agile environment, delivering solutions to enable sophisticated algorithms and techniques to improve machine learning models for real-time decisioning systems. You will work closely with data scientists and other machine learning engineers to develop and implement platform components that will enable us to improve and scale our advertising algorithms. Platform components can range from core storage and processing capabilities and critical pipelines, to exploratory analysis tools, model development and training infrastructure, to online inference architectures that react to real-time signals and preserve the privacy of our customers.&lt;br&gt;&lt;br&gt;&lt;span&gt;As a Senior Software Engineer, to help build innovative software applications. You should have development and implementation experience on large scale critical applications. The main responsibilities for this position include: Architecting innovative solutions while playing a hands-on development role to deliver products in a rapid and dynamic environment. You will be involved in challenging and dynamic projects supporting Apple&#x27;s business by delivering innovative solutions to given challenges. Develop tools to monitor system health, performance, and reliability.&lt;/span&gt;

Data Engineer Jobs in Cupertino