Apple

Software Engineer role focused on building and improving back-end web services and automation tools for Apple's localization systems, supporting global product delivery. Requires experience with ML/LLMs and generative AI tools.

Engineering Manager for Apple Maps Test Automation team. Lead a team of 9 Software Engineers in Test, focusing on advancing automation infrastructure for accuracy, reliability, and performance. Drive technical strategy, mentor engineers, and champion the integration of generative AI tools into automation systems. Ensure quality and enable faster releases for Apple Maps across all platforms.

Senior Manager of Quality Assurance for AIML Data Operations at Apple. This role focuses on leading the QA function for data annotation pipelines that feed into AI/ML models. Responsibilities include defining quality standards, managing a team of QA professionals, developing scalable QA processes, and collaborating with Data Science and ML Engineering teams to ensure high-quality labeled data. The role requires a strong understanding of AIML concepts and practical experience in data quality assurance at scale.

The role focuses on building the data and infrastructure ecosystem to support ML development for Siri. It involves end-to-end ownership of services and data products, working closely with ML Modeling, Infrastructure, Software, Hardware, and Operations teams.

This role focuses on enabling Finance teams to transform from manual data preparers to AI-enabled decision partners. The primary responsibility is to guide these teams through a maturity journey, leveraging capabilities from data automation and BI to advanced analytics, machine learning, and AI agent creation within a governed framework. The role involves partnering with Finance leaders, developing roadmaps, leading workshops, co-designing solutions like automated workflows and AI agents, and championing governance and a culture of data-driven decision-making. Key skills include SQL, Python, business analysis, stakeholder management, and understanding of Finance controls and compliance.

Full-stack engineer for App Store Internal Tools team, focusing on app processing and internal tools. Will build frontend and backend systems, including intelligent recommendations and integrating ML models into production applications. Works with Java, Typescript/React, and Scala.

This role focuses on biomedical data science within Apple's Health Technologies team, involving the end-to-end development of health and wellness features for future products. Responsibilities include designing and supporting studies, interpreting findings, defining sensor feasibility, developing analysis tools for physiological time series data, and implementing/validating physiological models and algorithms. The role requires collaboration with multidisciplinary teams and a strong understanding of human physiology and multi-sensor systems. Experience with Python for data analysis and visualization is mandatory, with preferred experience in deep learning frameworks, statistical testing, and distributed processing.

This role focuses on building and maintaining scalable ML data infrastructure for creative editing tools, enabling high-quality ML model development. It involves sourcing multimodal datasets, building data pipelines, and supporting model development teams.

This role is for a senior full-stack software engineer focused on delivering high-quality data for LLM training and evaluation. The engineer will build and operate custom internal software solutions, including data collection clients (Swift/web apps), web services, and large-scale distributed data-processing pipelines. The role is crucial for foundational AI development at Apple, contributing to products like Apple Intelligence and Siri.

Engineering Manager for AIML Data Operations at Apple, leading a team that builds software for machine learning data collection and delivery at scale. The role involves technical direction, team leadership, and collaboration with ML researchers and product teams.

Senior Software Engineer role at Apple focusing on defining, implementing, and deploying intelligent systems. Requires strong software engineering and machine learning expertise, experience with large-scale distributed systems, cloud platforms, and containerization. The role involves guiding complex projects from concept to adoption and architecting/deploying intelligent systems.

Software Image Quality Integrity Engineer for Creativity Apps at Apple, focusing on photos and video editing tools. Requires expertise in image/video quality evaluation, computational photography, and on-device machine learning, with a strong QA background.

Engineering Manager to lead a team modernizing a platform for pricing and subscriptions across Apple services. The role involves technical and people leadership, focusing on making the platform AI-ready and identifying opportunities for AI/ML integration. Requires expertise in JVM technologies and experience modernizing large-scale systems.

This role focuses on designing and developing AI-driven automation frameworks to evaluate end-to-end user experiences across Apple platforms, aiming to assess both functional correctness and experiential quality. It involves architecting scalable test infrastructure, translating manual tester expertise into automated scenarios, and integrating emerging technologies like ML, computer vision, and robotics to enhance automation coverage and fidelity. The ultimate goal is to ship software that delights users by providing continuous quality signals that influence product readiness and strategic decisions.

Software Development Engineer in Test for the CoreMotion team, focusing on testing and validating CoreMotion features. Responsibilities include building and scaling ML infrastructure, data pipelines, and analytics platforms for model training and evaluation, designing user studies, developing automated test frameworks, and implementing telemetry systems. Requires experience in sensor fusion, signal processing, or machine learning.

This role is for a Technical Program Manager in manufacturing equipment development and maintenance. While the core function is not AI development, there's a clear emphasis on exploring and implementing ML/AI technologies to improve manufacturing processes, predict issues, and enhance cost-efficiency. The role involves working with cross-functional teams, vendors, and applying expertise in assembly, failure analysis, and process improvement, with a stated advantage for those who can plan and implement ML solutions for smart factories.

Software Engineer role focused on building and supporting Trust & Safety risking systems at Apple scale, involving fraud and abuse detection. The role emphasizes developing high-volume, low-latency systems for real-time decision-making, working with distributed systems, and integrating solutions across various contexts (real-time, batch). It's a software engineering position involving coding, design, architecture, tuning, debugging, and production support, with an interest in ML and internal system workings.

Seeking a Data Product Engineering Lead to build and maintain scalable analytical data products and architectures for Apple's Payments & Commerce business. This role involves instrumenting APIs, designing data/ML pipelines, optimizing workflows, and collaborating with partners to deliver actionable insights and decision tools. Requires strong SQL, Scala/Python/Java, data pipeline tools (Spark, Kafka, Airflow), cloud platforms, data warehousing, and data modeling.

The GPU Compiler Engineer will design and build new language constructs and optimizations for GPUs, targeting graphics, compute, and machine learning applications. This role involves collaborating with hardware and software teams to maximize performance on Apple Silicon.

Develop and support ML-based rendering algorithms for Apple's GPUs, focusing on MetalFX techniques, real-time ML workloads, and driver development for Apple Silicon devices. This role involves understanding the graphics pipeline, debugging complex software, and guiding developers on performance tuning.

Software Engineer role focused on building and maintaining infrastructure and tooling for machine learning automation pipelines, specifically for machine translation and NLP tasks. This involves developing and deploying ML models, optimizing distributed data processing systems, and implementing CI/CD for ML deployment.

This role focuses on analyzing large-scale audio session and device telemetry data to uncover patterns in user behavior and system adjustments, enabling opportunities for predictive and adaptive system improvements. The ideal candidate combines strong data analysis and programming skills with experience working with large-scale datasets. This role will partner with data scientists and engineers to build reliable datasets, develop analytical workflows, and translate telemetry insights into data-driven improvements to device audio experiences.

Senior Software Engineer to build the next generation of software platform and systems to advance experimentation that connect millions of global users to content from publishers and developers. Your work will drive the experimentation framework development of machine learned algorithm at scale. You will build sophisticated systems essential in the end-end development of predictive algorithms. You will design and engineer tools for managing AB test experiments, for performing exploratory analysis, and for real-time monitoring of experiment behavior, while preserving privacy of our customers.

Software Engineer role focused on building native iOS/macOS applications for hardware product development tools at Apple. The role involves integrating AI/ML capabilities and on-device intelligence into these applications, which are used by thousands of engineers and manufacturers to develop, debug, and verify systems before customer release. The work is at the intersection of hardware, software, and AI/ML, with high visibility and impact on product quality.

Software Engineer role focused on developing and advancing the distributed system logic for Siri's natural interaction platforms on Apple devices. The role involves architecting simulation frameworks, creating evaluation datasets, benchmarking system policies, and collaborating with cross-functional partners to ensure seamless user request responses across complex environments.

This role focuses on data operations and capacity planning within an AI/ML context, specifically analyzing annotator performance, task complexity, and data characteristics to optimize data annotation workflows and project scoping. The goal is to ensure high-quality annotated data for unreleased products and AI technology by improving efficiency and quality through data-driven insights and experimentation.

This role focuses on the reliability engineering of ML compute platform infrastructure, ensuring scalability, stability, and efficient resource utilization. The engineer will manage the entire lifecycle of ML compute platform reliability, from addressing user queries to proactively improving system performance and implementing operational tools and processes. The role requires strong software development skills in languages like Python and Golang, experience with large-scale ML services, and familiarity with orchestration frameworks like Kubernetes.

This role is for a Sr. Software Data Engineer on the Evaluation Data Engineering team at Apple. The team builds and maintains a scalable data platform that supports Siri, Search, and Machine Learning. The engineer will design and optimize large-scale stream and batch processing data pipelines using technologies like Flink and Spark, focusing on data quality and performance to enable ML applications and product insights. The role requires significant experience in distributed data processing systems and full-stack development.

Data Integration Engineer responsible for building and maintaining data pipelines for structured and unstructured data to support AIML model development and deployment. Focuses on data infrastructure, data quality, and integration for sales processes.

This role leads a Data Science team focused on AIML Data Operations, establishing health metrics, identifying growth drivers, and recommending optimizations for high-quality annotated data to support unreleased AI products. The focus is on analytics, experimentation, and building cross-functional relationships to drive data-informed decisions.

Staff/Sr. Software Engineer to improve developer experience for Apple's internal ML Compute platform, focusing on SDKs, CLIs, and generative AI integrations. The role involves designing and evolving tools used by thousands of engineers, reducing friction and accelerating workflows.

DevOps/Backend Engineer role focused on building and maintaining the infrastructure for AI/ML and Generative AI services at Apple's scale. This includes cloud infrastructure, CI/CD pipelines, and evaluation workflows to support hardware product development teams. The role involves collaborating with ML engineering teams to integrate and operationalize models, ensuring reliable pipelines for evaluation, A/B testing, and performance benchmarking.

Software Engineer to build a large-scale code observability system for Apple's OS engineering teams, combining code coverage, static analysis, and GenAI-powered insights with a modern data stack. The role involves developing data pipelines, web applications, and services on Kubernetes using Swift, Python, cloud services, and Snowflake, with a focus on developer productivity and real-time visibility into code quality and risk.

This role is for a Platform Engineer focused on the creation, deployment, and reliability of AI Agents and MCP servers within Apple's Manufacturing Design team. The engineer will work with LLM and GenAI technologies, participate in feature design, and ensure the performance and scalability of backend services and APIs. The role requires strong experience in Go, Python, or Typescript, and in deploying applications using tools like Ansible, Docker, and Jenkins.

This role is for a Data Science Manager leading a team of data professionals in analytics engineering and experimentation. The focus is on partnering with ML engineering leaders to deliver data analytics, drive experimentation, and optimize performance across business goals. While the role interacts with ML, its core craft is data science and analytics leadership, not direct AI/ML model building.

This role focuses on developing and implementing evaluation methods for Siri's user-facing products, using data science and machine learning to guide product development and improve search quality. The primary focus is on evaluation and measurement, with collaboration on core ML algorithms.

Senior Software Engineer role focused on defining, implementing, and deploying intelligent systems within Apple's Operations organization. Requires strong software engineering and machine learning expertise, with experience in large-scale distributed systems and cloud platforms.

DevOps Engineer (MLOps) at Apple, responsible for building and managing data and ML infrastructures, pipelines, frameworks, tools, and services in a hybrid cloud environment. Focuses on provisioning, scaling, and maintaining these systems, enabling ML platform adoption, and ensuring operational quality through observability and automation.

The role is for a Sr. Software Engineer focused on building AI-enabled observability solutions for Apple's Search, AIML Infrastructure, and Apple Intelligence products. The engineer will design, develop, and deploy cloud-native observability systems, leveraging AI pipelines and industry-standard open-source technologies. The position requires strong experience in distributed systems, observability solutions, and cloud-native technologies, with a focus on Go, Javascript, Java, or Python.

Software Development Engineer for Apple's Photos UI team, focusing on building AI-driven user experiences for the Photos app across iOS, iPadOS, and macOS. The role involves UI development, integrating Apple Intelligence models, and working across the full product cycle from ideation to release, impacting hundreds of millions of users.

This role is for a Sr. Data Science Leader in iCloud, responsible for defining and scaling the data science vision, building and guiding a high-impact organization, shaping product strategy, driving business outcomes, and elevating decision-making through data-informed insights. The leader will oversee a team of senior data scientists and managers responsible for analytics, experimentation, modeling, and insights that influence product experiences and business strategy. The role requires partnering with Product, Engineering, Design, and Business leaders, influencing executive decisions, and balancing strategic and execution levels in ambiguous environments.

This role focuses on display metrology and instrumentation development for new Apple products. Responsibilities include FMEA, defining calibration and test strategies, designing metrology systems, and using modeling, simulation, and machine learning for data-driven decisions. The role requires a BS in a relevant field, 3+ years of experience, and programming skills.

Software Engineer role focused on developing internal applications, frameworks, and services that enhance the engineering lifecycle at Apple. The role involves building scalable software solutions, workflow automation, and web-based tools, with an emphasis on full-stack development, data pipelines, and APIs. While AI is mentioned as a component of the applications, the core craft of the role is software engineering for internal tools, not direct AI/ML model development or research.

This role is for a QA Automation Engineer focused on testing Thermal Control Systems for Apple products. Responsibilities include executing and maintaining automated tests, debugging failures, analyzing results, expanding test coverage, and developing Python scripts for data analysis. Requires 3+ years of QA automation experience with Python and experience testing consumer products.

Software Engineer for Apple's Speech and Vision Accessibility team, focusing on assistive technologies for iOS and iPadOS. Responsibilities include developing features from research to adoption, working on audio pipelines, speech synthesis, and system-level infrastructure. Requires Swift/Objective-C and iOS app development experience.

Software Engineer role focused on device management technologies for Apple devices in educational and business environments. The role involves influencing product features, implementing OS-level functionality, and collaborating with cross-functional teams to enable efficient configuration and management of Apple devices. Key responsibilities include improving the core MDM networking protocol and functionality, and collaborating on device management solutions. Requires experience with C-like programming languages and concurrent programming concepts. Familiarity with MDM and Declarative Device Management is preferred.

This role is for a Senior Security Engineer on Apple's Services Engineering (ASE) Security Red Team. The primary focus is on deep technical security reviews of critical ASE services and infrastructure to identify meaningful security improvement opportunities. The engineer will work with various teams to identify weaknesses, validate detection mechanisms, and provide recommendations to enhance security posture, going beyond simple risks to find obscure and complex ones. Responsibilities include enumerating risks, planning and executing reviews, developing proof-of-concept systems, and staying current on security technologies and methodologies. The role requires experience in information security or software engineering with a focus on security reviews, source code analysis, infrastructure/cloud/application security, and communicating risk.

This role is for an Engineering Program Manager focused on human factors research in wearable technology. The role involves managing research efforts, schedules, and cross-functional teams, influencing product design with data-backed insights. It is not directly involved in building AI/ML models.