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Aiml - Sr Data Scientist Machine Learning Innovation jobs at Apple in China, Beijing
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China
Beijing
40 jobs found
02.08.2025
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Apple Machine Learning Engineer - Intern China, Beijing, Beijing
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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...
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
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28.07.2025
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Apple AIML - Machine Learning Engineer Answers & Knowledge Informa... China, Beijing, Beijing
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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,...
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.
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28.07.2025
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Apple AIML -Machine Learning Engineer Answers Knowledge & Informat... China, Beijing, Beijing
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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,...
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.
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21.07.2025
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Apple Data Engineer China, Beijing, Beijing
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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....
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.
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12.07.2025
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Apple Machine Learning Engineer China, Beijing, Beijing
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Profound understanding and hands-on experience in machine learning, deep learning, or reinforcement learning. Proficiency in implementing data-intensive pipelines and applications using programming languages such as Python, Java or C++. Familiar...
Description:
Engage with others to identify opportunities, comprehend requirements, and translate them into effective technical solutions.Devise machine learning strategies, employing established methods or creating custom algorithms to address specific business challenges.Research and evaluate emerging technologies and solid understanding of Generative AI concepts and techniques, including LLM, Agent, RAG, Fine-tuning, etc.Communicate analysis findings to non-technical business partners or executives.
- Profound understanding and hands-on experience in machine learning, deep learning, or reinforcement learning.
- Proficiency in implementing data-intensive pipelines and applications using programming languages such as Python, Java or C++. Familiar with deep learning frameworks such as TensorFlow or PyTorch.
- Strong capability to extract valuable business insights from data and uncover the underlying narratives behind patterns.
- Experienced in working with cross-functional teams to drive the solution of business problems, ideally from end to end.
- Excellent verbal and written communication skills, capable of conveying rigorous technical concepts to non-experts. Strong skills in English is a great plus.
- M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, Operations Research, Mathematics, Engineering, or a related field with a minimum of 2 years’ experience applying machine learning to solve real-world business challenges.
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07.07.2025
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Apple Machine Learning Engineer Video Generation China, Beijing, Beijing
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M.S. or Ph.D. in Electrical/Computer Engineering, Computer Science, Mathematics, Physics, or a related field, with a research focus on computer vision or data-centric machine learning. Production-Scale Expertise: Demonstrated success designing...
Description:
- M.S. or Ph.D. in Electrical/Computer Engineering, Computer Science, Mathematics, Physics, or a related field, with a research focus on computer vision or data-centric machine learning.
- Production-Scale Expertise: Demonstrated success designing and shipping petabyte-scale image/video data systems to production.
- Domain Depth: Hands-on experience in at least one of the following areas: video generation pipelines, multimodal LLM training, or data-centric AI workflows.
- Technical Stack: Proficient in Python and C++ or Rust, with production experience using at least one distributed data framework (e.g., Spark, Ray, Flink, Dask).
- Communication & Collaboration: Exceptional written and verbal English skills; comfortable presenting to large technical audiences and partnering with cross-functional teams.
- Deep familiarity with video-generation and multimodal foundation models, including the specialized data-loading strategies they demand.
- Proven track record curating and serving 10 PB+ or 1 B-item+ datasets for machine-learning and computer-vision workloads, with an emphasis on reliability, privacy, and cost efficiency.
- Publications or significant OSS contributions in scalable data systems, dataset retrieval/search, or data-centric AI—and active participation in relevant benchmarks, challenges, or steering committees
- Hands-on mentality to own engineering projects from inception to shipping products and the ability to work independently and as part of a cross-functional team.
- Track records of adopting ML to solve cross-disciplinary problems.
- Team-oriented, self-motivated, and relentlessly focused on translating ambitious ideas into measurable impact.
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29.06.2025
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Apple Data Architect China, Beijing, Beijing
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Computer science and related major, have 8+ years of big data industry related experience, 5+ years of big data architecture design experience. Familiar with Hadoop, Spark, Flink, Kafka, HDFS, Hive,...
Description:
Responsible for the planning and construction of enterprise platform’s data, data products, and provide decision-making basis for strategic and business decisions.Develop and define data quality, data model, data security and other big data related standards per business requirements, plus drive and secure the implementation of all the above.Define data definition, usage and ensure the data quality cross multiple platforms per business requirements. Coordinated with the business team and vendors to plan data application architecture design, data field model construction, and drive the implementation of all the above. Responsible for big data application planning, providing guidance to the business team and vendors. Responsible for the research and implementation of innovative technologies in the fields of data platform and large-scale distributed system.
- Computer science and related major, have 8+ years of big data industry related experience, 5+ years of big data architecture design experience.
- Familiar with Hadoop, Spark, Flink, Kafka, HDFS, Hive, Druid and other mainstream big data system principles and source code, familiar with at least one of databases，such as MySQL, PostgreSQL, NoSQL (1/3)and others
- Have a deep understanding and practical experience in data acquisition, data development, data analysis, data modeling, algorithms, etc. and have the ability of large-scale system fault diagnosis and performance optimization
- Have deep thinking and long-term product and technology vision in big data architecture, products and technology, and have clear and mature ideas for the evolution of technology architecture.
- Proficient in java or Python, familiar with Spring Cloud and other micro-service frameworks, and have accumulated and practical experience in container/micro-service, middleware, open source big data and other technologies
- Familiar with common Internet, big data, cloud computing, artificial intelligence and other technologies and knowledge, with Internet data center, technology center construction and other technical background is preferred
- Have good business analysis ability, business and technical program planning and design ability, and strong logical thinking ability
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These jobs might be a good fit
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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...
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
Show more
These jobs might be a good fit
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