Senior Machine Learning Engineer focused on developing next-generation Search and Question Answering systems using cutting-edge search technologies and large language models. The role involves improving Query Understanding, Retrieval, and Ranking, leveraging fine-tuning, reinforcement learning, embeddings, deep learning, and online learning. Experience with RAG, retrieval, and generative LLMs is crucial.

Software Engineer on the Applied Machine Learning Team to architect and orchestrate high-performance, scalable enterprise platforms for Data, ML, and inferencing. Focus on ensuring availability, performance, and low latency for high-throughput applications. Manage diverse workloads across ML/Data/Inference platforms and evaluate new technologies.

This role focuses on building and scaling automated insight pipelines for the sales organization, developing ML models for opportunity detection and performance diagnosis, and embedding these insights into AI agents, dashboards, and GenAI tools. The role involves end-to-end insight development, including data preparation, statistical analysis, LLM prompt engineering, and deploying ML models for forecasting, anomaly detection, attribution, and causal inference. It also includes building RCA and recommendation engines, analyzing agent interactions, implementing LLM evaluation pipelines, and supporting experimentation. The role requires partnering with AI engineers and PMs, acting as a data translator, influencing upstream data model design, and driving KPI definitions.

Software Engineer with 5+ years of experience in Java development, distributed systems, and Search/Information Retrieval, with a keen interest in Generative AI. The role involves building, scaling, and maintaining enterprise platforms for Search, Knowledge Graph, ML, and inferencing systems, focusing on high availability, performance, and low latency.

Software Development Engineer to build highly scalable platforms and services for Apple's Advertising Platforms group. Responsibilities include designing, implementing, and operating distributed and scalable services and data applications, building efficient data pipelines, and applying machine learning techniques to enhance ad targeting and measurement. Requires strong experience in distributed systems, microservices, big data technologies, and cloud platforms.

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.

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.

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.

This role is for an Enterprise Marketing Manager at Apple in India, focusing on defining and executing marketing strategies for businesses and institutions. The manager will work with IT leaders to showcase the value of Apple products, develop narratives, launch programs, and influence cross-functional teams to accelerate adoption. The role also supports education initiatives and involves interpreting market research and data analytics to inform strategies.

Product Safety Engineer at Apple, Bengaluru, responsible for ensuring Apple products meet international safety standards and regulations. This role involves supporting safety engineering design, testing, and continuous improvement strategies, with expertise in applying, interpreting, and developing product safety standards for product commercialization. The engineer will conduct safety compliance testing, report writing, acquire certifications, and drive product design for safety and compliance to global standards (IEC/EN/UL/CSA). Responsibilities include conducting design of experiments, failure analyses, owning safety aspects of products, negotiating design processes, understanding manufacturing processes for safety issues, and working with suppliers. Requires a Bachelor's in Electrical Engineering or related field with 10+ years of experience in consumer product design, safety, risk, and failure analysis, proficiency in evaluating product safety and compliance to specific standards, and experience with FMEA and fault trees.

Manager for Manufacturing Design Engineering team responsible for developing key mechanical manufacturing processes across Apple's worldwide supply base. This role involves leading a team, technical depth in manufacturing processes (CNC Machining, Surface Finishing, Glass Processing, Assembly), driving program outcomes, and ensuring design intent is translated into robust production processes from prototype to mass production. Emphasizes data-driven decisions using DOE, SPC, and capability analysis.

Project Manager for AIML Data Operations focusing on the actuals process, invoicing, budget management, and reporting for human-annotated assets development. This role involves collaborating with vendors and internal teams, improving processes, developing roadmaps for invoicing tools, and ensuring financial governance and compliance within a mature AI/ML data operations context.

Software Engineer role focused on building data models and pipelines on SAP HANA for business intelligence and analytical solutions. Requires experience in data warehousing, ETL, and SQL.

Seeking a Senior Systems Engineer to design, build, and support large-scale infrastructure systems for Apple's services, focusing on Linux environments, automation, and cloud computing. This role involves collaborating with engineers, promoting automation and self-service tools, and ensuring systems scale globally and remain highly available.

Software Development Engineer in Test (SDET) role focused on quality engineering for mission-critical software services and data pipelines. Responsibilities include preparing and executing tests for data pipelines, designing and maintaining automated testing scripts and frameworks, identifying and troubleshooting data anomalies, and performing functional and integration testing for various platforms. The role also involves building quality test plans, automation suites, and exploring the use of ML and AI in automation. Requires strong programming skills in Python or Java, expertise in QE processes and tools, API/web services testing, and database/data warehouse validation.

Seeking a Software Engineer / Senior Software Engineer with Data engineering expertise to build and operate large-scale distributed data systems using technologies like Kafka Connect, Apache Spark, and Apache Flink. The role involves leading projects, mentoring junior members, and driving data innovation while upholding privacy commitments.

Lead a team of Senior Annotation Analysts focused on data annotation for AI/ML purposes, managing operational success, career growth, and cross-functional collaboration. Requires people management experience in a contact center or similar environment, with a focus on coaching, performance management, and driving operational improvements. Preferred qualifications include experience in AIML Data Annotations, Project Management, and Quality Management Systems.

Seeking an experienced Data Platform Engineer with deep expertise in Apache Airflow to build, scale, and maintain a data orchestration platform. This role focuses on building the infrastructure and tooling for other data engineers, not on building data pipelines themselves. Responsibilities include designing, architecting, and maintaining Airflow infrastructure, customizing core functionality, developing custom operators, building internal frameworks, modifying source code, and contributing to the Airflow open-source community. The role also involves deploying and managing Airflow on Kubernetes, optimizing performance, designing multi-tenancy, building auto-scaling, and architecting high-availability solutions. Additionally, it requires implementing monitoring, alerting, and observability, troubleshooting distributed systems, building self-service capabilities, creating tooling for debugging, and establishing SLAs. Integration with Spark, EMR, Kubernetes, and Hadoop, as well as developing authentication/authorization frameworks and integrating with CI/CD and observability stacks, are key. The role also emphasizes developer experience through documentation, best practices, tooling, and consultation.