Finding the best job has never been easier
Aiml -machine Learning Engineer Answers Knowledge & Information jobs at Apple in China, Beijing
Discover your perfect match with Expoint. Search for job opportunities as a Aiml -machine Learning Engineer Answers Knowledge & Information in China, Beijing and join the network of leading companies in the high tech industry, like Apple. Sign up now and find your dream job with Expoint
Company (1)
Job type
Job categories
Job title (1)
China
Beijing
46 jobs found
02.08.2025
A
Apple Machine Learning Engineer - Intern China, Beijing, Beijing
Share
Description:
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state-of-the-art research in ML to tackle complex data problems. The solutions you develop will significantly impact future Apple products and the broader ML development ecosystem.You will work with a multidisciplinary team to actively participate in the data-model co-design and co-development practice. Your responsibilities will extend to the design and development of a comprehensive data curation framework. You will also create robust model evaluation pipelines, integral to the continuous improvement and assessment of ML models. Additionally, your role will entail an in-depth analysis of collected data to underscore its influence on model performance.Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues.Your work may span a variety of topics, including but not limited to:* Designing and implementing semi-supervised, self-supervised representation learning techniques for maximizing the power of both limited labeled data and large-scale unlabeled data.* Developing evaluation protocols centered on the end-to-end user experience, with a focus on anticipating potential failure modes, edge cases, and anomalies.* Employing data selection techniques such as novelty detection, active learning, and core-set selection for diverse data types like images, 3D models, natural language, and audio.* Uncovering patterns in data, setting performance targets, and leveraging modern statistical and ML-based methods to model data distributions. This will aid in reducing redundancy and addressing out-of-distribution samples.
- Currently pursuing a PhD degree or equivalent experience in Machine Learning, Computer Vision, Natural Language Processing, Data Science, Statistics or related areas.
- Proven expertise in machine learning with a passion for data-centric machine learning.
- Experience with natural language processing (NLP), and large language models, such as BERT, GPT, or Transformers.
- Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.
- Staying on top of emerging trends in LLMs
- Strong problem-solving and communication skills
- Demonstrated publication record in relevant conferences (e.g. NeurIPS, ICML, ICLR, CVPR, etc) is a plus
- Available for 9+ months for internship
Expand
These jobs might be a good fit
28.07.2025
A
Apple AIML - Machine Learning Engineer Answers & Knowledge Informa... China, Beijing, Beijing
Share
Description:
Siri’s 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 Siri 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. It also includes online learning to react quickly to change and 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.
- Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or a related technical field, or equivalent proven experience.
- 5+ years of experience in machine learning, retrieval and ranking for search, recommendation, or ads systems.
- Mastery of two of following languages: Python, Go, Java, C++
- Excellent knowledge and good practical skills in major machine learning algorithms
- Hands-on experience in RAG, including developing, evaluating and enhancing for both retrievers and generative LLMs.
- Excellent data analytical skills
- Good interpersonal skills and great team player
- Strong written and verbal communication skills
- Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
Expand
28.07.2025
A
Apple AIML -Machine Learning Engineer Answers Knowledge & Informat... China, Beijing, Beijing
Share
Description:
Siri’s 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 Siri 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. It also includes online learning to react quickly to change and 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.
- Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or a related technical field, or equivalent proven experience.
- 5+ years of experience in machine learning, retrieval and ranking for search, recommendation, or ads systems.
- Mastery of two of following languages: Python, Go, Java, C++
- Excellent knowledge and good practical skills in major machine learning algorithms
- Hands-on experience in RAG, including developing, evaluating and enhancing for both retrievers and generative LLMs.
- Excellent data analytical skills
- Good interpersonal skills and great team player
- Strong written and verbal communication skills
- Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
Expand
27.07.2025
A
Apple Wireless Systems Engineer – Physical Layer Control China, Beijing, Beijing
Share
Description:
- You should:
- Be available to work a schedule based on business needs that may include nights, weekends, and public holidays in the retail store, and reliably attend work as scheduled, in line with local laws and subject to any approved accommodations.
- Have experience in retail or sales, or related work experience.
- Have extensive business solutions experience with Apple products and services.
- You can:
- Show a track record of strong performance and results in technology or business solutions sales.
- Communicate effectively and tailor your communication style to different audiences.
- Work in a fast-paced environment and make timely decisions, sometimes under tight deadlines and pressure.
- Build rapport and work effectively with both internal and external customers, including business owners and executives.
- Demonstrate excellent organizational and process management skills, the ability to set priorities, and responsiveness to customer requests.
- Demonstrate excellent learning, negotiation, interpersonal, and customer service skills.
- Draw from advanced Apple expertise on mobility adoption and business transformation with general knowledge of key SMB industries, technology trends, and challenges.
- Learn, navigate, and use new tools and systems.
Expand
26.07.2025
A
Apple Wireless Cellular Standards Engineer China, Beijing, Beijing
Share
Description:
In this role, core responsibilities include, but are not limited to the following: Designing and simulating wireless communication systems for 5G and 6G technologies, including channel coding, advanced MIMO systems, protocols for energy saving, AI/ML for air interface enhancements, sensing techniques, control and data channel optimization for cellular systems. Attending global standards meetings, including 3GPP, to promote Apple product preferences. Collaborate with product teams and come up with novel architecture, protocols, and algorithms to meet the requirements of emerging applications in a challenging radio environment.
- Working knowledge of wireless communication systems (e.g., OFDM/MIMO, etc.).
- Proven experience in the algorithm development and implementation design of communication systems or signal processing algorithms, and ability to develop and implement performance tuning strategies and optimizations.
- Experience with Matlab or Python and/or C/C++ for algorithm development, modeling, and simulation.
- Excellent communication skills to collaborate with cross-functional teams.
- Motivated to collaborate and contribute as a team, and able to deliver ambitious tasks in a timely manner.
- BS and 3+ years of relevant experience is required.
- Ph.D. with a focus on communication systems, signal processing or AI/ML for wireless communication
- Knowledge in existing wireless communication protocols, such as 5G/LTE/WCDMA/GSM, 802.11a/b/g/n/ac/ax/be, 802.11ad/ay or Bluetooth/BLE.
- Strong understanding of communication theory and relevant algorithm design experience on, including but not limited to, timing recovery, automatic gain control, modulation, channel estimation, equalization, MIMO signal estimation and detection, channel coding and error correction, and beam forming algorithms
- Experience in designing systems that operate efficiently in high-load and noisy environments.
- Experience on low-power algorithm design for power critical applications.
- Experience with multi-radio coexistence management.
- Deep understanding of components/modules within wireless communication systems, and the possible impairments from those components, and the corresponding calibration and impairment reduction methods/algorithms, digital pre-distortion, PAPR reduction algorithms, Tx power control, etc.
- Experience in modem architecture, microprocessor architecture, hardware and software control.
Expand
22.07.2025
A
Apple Test Development Engineer - Quality Assurance China, Beijing, Beijing
Share
Description:
As a Test Development Engineer, you will collaborate with cross-functional teams to define test strategies, develop automated test suites, and drive continuous improvement in testing processes. Your expertise in automation, scripting, and system architecture will help us deliver robust, high-performance data solutions. You will mentor junior engineers, advocate for practices in testability, and contribute to our technology roadmap with a focus on quality at scale.Key ResponsibilitiesTest Automation & Framework Development: Design, build, and maintain scalable test automation frameworks for functional, integration, and end-to-end testing of data platforms, APIs, and distributed systems.Tooling & Infrastructure: Develop tools and utilities to enhance test efficiency, including CI/CD pipeline integration, test data generation, and performance benchmarking.Quality Advocacy: Define and implement test strategies for complex data pipelines, storage systems, and machine learning platforms, ensuring comprehensive coverage and reliability.Cross-functional Collaboration: Work closely with developers, DevOps, and product teams to identify testability requirements, debug issues, and improve system resilience.Test Execution & Reporting: Automate and implement test suites, analyze results, and provide actionable insights to improve product quality.Innovation: Research and adopt emerging testing technologies (e.g., AI/ML-based testing, chaos engineering) to enhance test coverage and efficiency.
- 5+ years of hands-on experience in test automation development, preferably in data-intensive or distributed systems.
- Proficiency in Java, Python, or similar languages for test scripting and framework development.
- Strong knowledge of test frameworks (e.g., Selenium, JUnit, TestNG, PyTest) and CI/CD tools (Jenkins, GitLab CI).
- Experience with databases (SQL, MongoDB, Cassandra).
- Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
- Expertise in performance testing (JMeter, Gatling) and observability tools (Prometheus, Grafana).
- Prior experience testing macOS/iOS applications or privacy-preserving systems is a plus.
- Strong problem-solving skills and a passion for breaking software creatively.
- Excellent communication skills to articulate technical issues and solutions.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Equivalent professional experience in software development, test automation, or data engineering will be considered.
Expand
21.07.2025
A
Apple Data Engineer China, Beijing, Beijing
Share
Description:
Develop highly scalable data pipelines to ingest and process data from multiple source systems, leveraging Apache Airflow for workflow orchestration, scheduling, and monitoring.Architect generic, reusable solutions that enforce to data warehousing best practices while addressing complex business requirements. Analyze and optimize existing systems, providing improvements and ongoing support as needed. Uphold the highest standards of data integrity and software quality, ensuring reliable and accurate outputs.
- 3+ years of professional experience in data modeling, pipeline development, and software engineering
- Proficiency in dimensional modeling and data warehouse architecture
- Hands-on experience with both relational and NoSQL database systems
- Solid understanding of Linux environments with scripting capabilities in Python and SQL
- Detailed understanding of OLTP and OLAP systems
- Experience with big data technologies (Kafka, Spark, Flink, Hive, etc.)
- Practical knowledge of cloud data services (AWS, Ali Cloud, or equivalent platforms)
- Demonstrated ability to analyze business requirements and deliver data-driven solutions
- Excellent written and verbal communication skills with strong problem-solving abilities
- A Bachelor’s or equivalent experience or Master’s degree in Computer Science, Computer Engineering, or a related technical field—or equivalent practical experience.
Expand
Share
Description:
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state-of-the-art research in ML to tackle complex data problems. The solutions you develop will significantly impact future Apple products and the broader ML development ecosystem.You will work with a multidisciplinary team to actively participate in the data-model co-design and co-development practice. Your responsibilities will extend to the design and development of a comprehensive data curation framework. You will also create robust model evaluation pipelines, integral to the continuous improvement and assessment of ML models. Additionally, your role will entail an in-depth analysis of collected data to underscore its influence on model performance.Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues.Your work may span a variety of topics, including but not limited to:* Designing and implementing semi-supervised, self-supervised representation learning techniques for maximizing the power of both limited labeled data and large-scale unlabeled data.* Developing evaluation protocols centered on the end-to-end user experience, with a focus on anticipating potential failure modes, edge cases, and anomalies.* Employing data selection techniques such as novelty detection, active learning, and core-set selection for diverse data types like images, 3D models, natural language, and audio.* Uncovering patterns in data, setting performance targets, and leveraging modern statistical and ML-based methods to model data distributions. This will aid in reducing redundancy and addressing out-of-distribution samples.
- Currently pursuing a PhD degree or equivalent experience in Machine Learning, Computer Vision, Natural Language Processing, Data Science, Statistics or related areas.
- Proven expertise in machine learning with a passion for data-centric machine learning.
- Experience with natural language processing (NLP), and large language models, such as BERT, GPT, or Transformers.
- Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.
- Staying on top of emerging trends in LLMs
- Strong problem-solving and communication skills
- Demonstrated publication record in relevant conferences (e.g. NeurIPS, ICML, ICLR, CVPR, etc) is a plus
- Available for 9+ months for internship
Expand
These jobs might be a good fit
Find your dream job in the high tech industry with Expoint. With our platform you can easily search for Aiml -machine Learning Engineer Answers Knowledge & Information opportunities at Apple in China, Beijing. Whether you're seeking a new challenge or looking to work with a specific organization in a specific role, Expoint makes it easy to find your perfect job match. Connect with top companies in your desired area and advance your career in the high tech field. Sign up today and take the next step in your career journey with Expoint.