ืืืงืื ืื ืืืืืืื ืืืืืจืืช ืืืืืืช ืืืืชืจ ื ืคืืฉืื
ืืจืืฉืื Machine Learning Intern Camera Algorithms ื-ืืคื ื-China, Beijing
ืืฆืื ืืช ืืืชืืื ืืืืฉืืืช ืขืืืจืื ืขื ืืงืกืคืืื ื! ืืคืฉื ืืืืื ืืืืช ืขืืืื ืืชืืจ Machine Learning Intern Camera Algorithms ื-China, Beijing ืืืฆืืจืคื ืืจืฉืช ืืืืจืืช ืืืืืืืืช ืืชืขืฉืืืช ืืืืืืง, ืืื Apple. ืืืจืฉืื ืขืืฉืื ืืืฆืื ืืช ืขืืืืช ืืืืืืืช ืฉืื ืขื ืืงืกืคืืื ื!
ืืืจื (1)
ืืืคื ืืืฉืจื
ืงืืืืจืืืช ืชืคืงืื
ืฉื ืชืคืงืื (1)
China
Beijing
ื ืืฆืื 23 ืืฉืจืืช
02.08.2025
A
Apple Machine Learning Engineer - Intern China, Beijing, Beijing
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...
ืชืืืืจ:
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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ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื
28.07.2025
A
Apple AIML - Machine Learning Engineer Answers & Knowledge Informa... China, Beijing, Beijing
Bachelorโs 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,...
ืชืืืืจ:
Siriโs 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.
- Bachelorโs 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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ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื
28.07.2025
A
Apple AIML -Machine Learning Engineer Answers Knowledge & Informat... China, Beijing, Beijing
Bachelorโs 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,...
ืชืืืืจ:
Siriโs 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.
- Bachelorโs 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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ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื
12.07.2025
A
Apple Machine Learning Engineer China, Beijing, Beijing
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...
ืชืืืืจ:
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 yearsโ experience applying machine learning to solve real-world business challenges.
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ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื
07.07.2025
A
Apple Machine Learning Engineer Video Generation China, Beijing, Beijing
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...
ืชืืืืจ:
- 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 AIโand 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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ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื
28.06.2025
A
Apple AIML - Machine Learning Researcher Foundation Models China, Beijing, Beijing
Demonstrated expertise in machine learning research. Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc). Hands-on experience working with deep learning toolkits such...
ืชืืืืจ:
You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are of high quality and reproducible. You will propose your own research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.
- Demonstrated expertise in machine learning research.
- Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc).
- Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch.
- Strong mathematical skills in linear algebra and statistics.
- Ability to formulate a research problem, design, experiment, implement and communicate solutions.
- Ability to work in a diverse collaborative environment.
- PhD, or equivalent practical experience, in Computer Science, or related technical field.
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ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื
08.06.2025
A
Apple AIML - Sr Machine Learning Engineer Answers Knowledge & Info... China, Beijing, Beijing
BS/MS in Computer Science or equivalent with 7+ years of industry experience. Solid experience in various facets of data mining, deep learning, natural language processing, and large language models. Solid...
ืชืืืืจ:
- BS/MS in Computer Science or equivalent with 7+ years of industry experience.
- Solid experience in various facets of data mining, deep learning, natural language processing, and large language models.
- Solid programming experience in one or more of the following: Java, C++, Python, or equivalent.
- Excellent communication skills and ability to interact with all levels of engineers.
- Hard-working, self-starter, proven ability to manage multiple projects to strict deadlines.
- Intimate knowledge of the Greater China region and its culture.
- 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, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
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ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื
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...
ืชืืืืจ:
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
ืืฉืจืืช ื ืืกืคืืช ืฉืืืืืืช ืืขื ืืืย ืืืชื
ืืืื ืืืฆืื ืืช ืขืืืืช ืืืืืืืช ืฉืืื ืืืืืืง ืขื ืืงืกืคืืื ื. ืืืืฆืขืืช ืืคืืืคืืจืื ืฉืื ื ืชืืื ืืืคืฉ ืืงืืืช ืืืืื ืืืืช Machine Learning Intern Camera Algorithms ืืืืจืช Apple ื-China, Beijing. ืืื ืื ืืชื ืืืคืฉืื ืืชืืจ ืืืฉ ืืืื ืื ืืชื ืจืืฆืื ืืขืืื ืขื ืืจืืื ืกืคืฆืืคื ืืชืคืงืื ืืกืืื, Expoint ืืงืื ืขื ืืฆืืืช ืืชืืืช ืืขืืืื ืืืืฉืืืช ืขืืืจืื. ืืชืืืจื ืืืืจืืช ืืืืืืืช ืืืืืจ ืฉืืื ืขืื ืืืื ืืงืืื ืืช ืงืจืืืจืช ืืืืืืง ืฉืืื! ืืืจืฉืื ืืืื ืืขืฉื ืืช ืืฆืขื ืืื ืืืกืข ืืงืจืืืจื ืฉืืื ืืขืืจืช ืืงืกืคืืื ื.