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Aiml - Machine Learning Manager Siri jobs at Apple in United Kingdom, Cambridge
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Cambridge
21 jobs found
02.08.2025
A
Apple Senior Speech Machine Learning Engineer Siri United Kingdom, England, Cambridge
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Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning...
Description:
On the Siri team, you will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in dialog systems and foundation models—ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities.You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. Your work will contribute to both academic research and real-world impact, improving the everyday experience of millions of users.
- Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products
- Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
- Masters Degree or PhD in Computer Science, or other technical field, or equivalent industry experience
- Experience with conversational AI
- Experience with multimodal LLM
- Experience with large scale machine learning training/evaluation
- Data-centric vision about foundation model
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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27.07.2025
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Apple AIML - Sr Engineering Program Manager Foundation Models United Kingdom, England, Cambridge
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5+ years of experience in program management, particularly in the data acquisition of ML technologies. Strong understanding of machine learning concepts and technologies. Detailed understanding of building, evaluating and release...
Description:
Specific Responsibilities Include:- Lead high profile Foundation Model programs, responsible for roadmapping, establishing goals with DRIs and reporting statuses to executives regularly and succinctly- Create and manage project schedules with clear dependencies, critical path and systematic methodology to communicate status- Proactively identify and manage risks, close gaps with the ability to switch gears on projects in an agile manner- Plan yearly and quarterly budgets for data acquisition- Maintain awareness of the Privacy and Legal aspects of data management and regional regulations, ensuring the team is meeting company-wide requirements
- 5+ years of experience in program management, particularly in the data acquisition of ML technologies
- Strong understanding of machine learning concepts and technologies. Detailed understanding of building, evaluating and release management processes for ML systems.
- Excellent communication and presentation skills, with the ability to convey complex technical information to diverse audiences.
- Demonstrated skill of negotiating and distilling sophisticated technical requirements from multiple partners into a coherent long term platform roadmap
- Experience leading cross functional security and privacy initiatives and collaborating with Legal, Privacy Engineering, Security and other teams across the organization to ensure compliance with privacy policies and security mandates
- Excellent project management skills including project structuring and managing multiple work streams interdependently
- Demonstrated ability to work collaboratively across the organization
- Ability to independently draft and present deliverables, recommendations and communication strategies
- Bachelor's or Master's degree. EE/CS/CE or equivalent.
- Prior PM or engineering experience in search, speech recognition, natural language understanding, data pipelines is a plus
- Experience with international locales experience
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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13.07.2025
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Apple Machine Learning Engineer Photos Storytelling United Kingdom, England, Cambridge
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Proven experience in developing and shipping production quality software. C / C++ / Objective-C / Swift programming experience. Exceptional problem-solving and interpersonal skills. Proven ability to excel in a fast-paced...
Description:
- Proven experience in developing and shipping production quality software
- C / C++ / Objective-C / Swift programming experience
- Exceptional problem-solving and interpersonal skills
- Proven ability to excel in a fast-paced development team
- Experience in implementing Machine Learning, Deep Learning, and Knowledge Graph algorithms
- Experience optimizing Machine Learning and Deep Learning algorithms for embedded systems
- Experience designing and developing systems that are efficient in resource constrained environments
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07.07.2025
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Apple Machine Learning Engineer Photos United Kingdom, England, Cambridge
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Proven experience in developing and shipping production quality software. C / C++ / Objective-C / Swift programming experience. Exceptional problem-solving and interpersonal skills. Proven ability to excel in a fast-paced...
Description:
- Proven experience in developing and shipping production quality software
- C / C++ / Objective-C / Swift programming experience
- Exceptional problem-solving and interpersonal skills
- Proven ability to excel in a fast-paced development team
- Experience in implementing Machine Learning, Deep Learning, and Knowledge Graph algorithms
- Experience optimizing Machine Learning and Deep Learning algorithms for embedded systems
- Experience designing and developing systems that are efficient in resource constrained environments
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28.06.2025
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Apple Senior Speech Machine Learning Engineer United Kingdom, England, Cambridge
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Machine Learning background in speech and/or language/text/dialogue processing field. Processing large, complex, unstructured data. Speech understanding or generation model training. Evaluation of multiple open source models. M.S. or Ph.D. degree...
Description:
In this role you will - Work with open source tools like PyTorch, Jax, Ray and others- Run data based ablation studies- Use open source or train models to extract signals from large volumes of speech data to drive modeling improvements
- Machine Learning background in speech and/or language/text/dialogue processing field
- Processing large, complex, unstructured data
- Speech understanding or generation model training
- Evaluation of multiple open source models
- M.S. or Ph.D. degree in Computer Science, or equivalent experience
- Knowledge of JAX, PyTorch
- Deep knowledge of distributed data processing frameworks (Beam, Spark, Dask, Ray)
- Strong software engineering abilities, ideally C++ and/or Java and/or Python
- Real passion for building research demo prototypes and turning them into production quality design/implementation
- Strong interpersonal skills to work well with engineering teams
- Excellent problem solving and critical thinking
- Ability to work in a fast-paced environment with rapidly changing priorities
- Passionate about building extraordinary products and experiences for our users
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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08.06.2025
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Apple AIML - ML Engineer Safety Human Evaluation United Kingdom, England, Cambridge
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MS or PhD in Computer Science, Linguistics, Cognitive Science, HCI, Psychology, Mathematics, Physics, or a similar science or technology field with a strong basis in scientific data collection and analysis...
Description:
Apple Intelligence is powered by thoughtful data sampling, creation, and curation; high quality, detailed annotations; and application of these data to evaluate and mitigate safety concerns of new generative AI features. This role heavily draws on applied data science, scientific investigation and interpretation, cross-functional communication and collaboration, and metrics reporting and presentation to stakeholders & decision-makers. Responsibilities include:- Develop metrics for evaluation of safety and fairness risks inherent to generative models and Gen-AI features- Design datasets, identify data needs, and work on creative solutions, scaling and expanding data coverage through human and synthetic generation methods- Develop sampling strategies and combine human annotation with auto-grading to deliver high-quality, high-confidence insights at a fast pace and large scale- Work with highly-sensitive content with exposure to offensive and controversial content
- MS or PhD in Computer Science, Linguistics, Cognitive Science, HCI, Psychology, Mathematics, Physics, or a similar science or technology field with a strong basis in scientific data collection and analysis + at least 4 years of relevant work experience, or BA/BS with 8+ years of relevant work experience
- Experience gathering and analyzing language data, image data, and/or multi-modal data, including LLM-generated data
- Strong experience designing human annotation projects, writing guidelines, and dealing with highly multi-labeled, nuanced, and often conflicting data
- Proficiency in data science, machine learning, analytics, and programming with Python & Pandas; strong experience with one or more plotting & visualization libraries
- Ability to collaborate with team members to prioritize competing projects, set and maintain a schedule for milestones and project completions, and communicate with all levels of team members as well as external stakeholders
- Strong skills for rigorous model quality metrics development; interpretation of experiments and evaluations; and presentation to executives
- Experience working in the Responsible AI space
- Curiosity about fairness and bias in generative AI systems, and a strong desire to help make the technology more equitable
- Prior scientific research and publication experience
- Experience working with generative models for evaluation and/or product development, and up-to-date knowledge of common challenges and failures
- Proven track record of contributing to diverse teams in a collaborative environment
- A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills
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08.06.2025
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Apple Machine Learning Engineer Siri Automatic Speech Recognition United Kingdom, England, Cambridge
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Bachelors, Masters or Ph.D in Computer Science or Engineering or a related field, or equivalent experience. 3+ years of experience in machine learning with focus on automatic speech recognition. Proficiency...
Description:
- Bachelors, Masters or Ph.D in Computer Science or Engineering or a related field, or equivalent experience
- 3+ years of experience in machine learning with focus on automatic speech recognition
- Proficiency in Python and SQL
- Strong problem-solving and data analytical skills
- Have contributed to shipping models/products to production
- Experience with foundation models
- Experience with large scale data processing
- Experience with Spark and machine learning frameworks like PyTorch
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Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning...
Description:
On the Siri team, you will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in dialog systems and foundation models—ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities.You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. Your work will contribute to both academic research and real-world impact, improving the everyday experience of millions of users.
- Demonstrated expertise in deep learning with publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products
- Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
- Masters Degree or PhD in Computer Science, or other technical field, or equivalent industry experience
- Experience with conversational AI
- Experience with multimodal LLM
- Experience with large scale machine learning training/evaluation
- Data-centric vision about foundation model
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
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