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Aiml - Machine Learning Educator jobs at Apple in United States, Seattle
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Seattle
196 jobs found
26.08.2025
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Apple AIML - Research Scientist AI Interpretability & Visualizatio... United States, Washington, Seattle
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PhD or MS in Computer Science, Machine Learning, or related field or equivalent experience. Proficiency with modern AI technologies and building interactive data visualizations. Experience shipping products that use machine...
Description:
For this role, you need a keen curiosity about rigorous evaluation, deep understanding of modern machine learning and AI technologies, strong prototyping and development skills, and the ability to communicate sophisticated algorithms and methods in an understandable way.
As a member of this team, you will use your background in ML and HCI to:- Define and implement research directions at the forefront of interpretable machine learning- Design and implement new tools and visualizations to make designing, building, and deploying machine-learning based products faster and easier- Investigate innovative machine learning, and artificial intelligence algorithms
- PhD or MS in Computer Science, Machine Learning, or related field or equivalent experience
- Proficiency with modern AI technologies and building interactive data visualizations
- Experience shipping products that use machine learning or tools for machine learning interpretability
- Substantial contributions to research or practitioner communities, such as by publishing papers at top-conferences or contributing to open source projects
- Proven history of turning ideas into actionable tools, guidelines, or products
- Excellent verbal and written communication and presentation skills
- Strong web-development background
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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26.08.2025
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Apple AIML - Sr Engineering Program Manager Search United States, Washington, Seattle
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8+ years of experience in driving large scale program building machine learning powered products. 3+ years experience bringing a product from concept to completion, ideally working on machine-learning features and/or...
Description:
- Proactively identify and manage risks, close gaps with the ability to switch gears on projects in an agile manner
- 8+ years of experience in driving large scale program building machine learning powered products
- 3+ years experience bringing a product from concept to completion, ideally working on machine-learning features and/or sophisticated backend and front-end systems
- Deep understanding of software development for machine-learned products and services, and how analytics and evaluation data can help improve those products
- Self-motivated and proactive, with demonstrated critical thinking capabilities
- Strong desire to learn, aptitude for problem solving, and the ability to make sophisticated trade-offs
- Strong verbal and written communication skills, including negotiation, presentation and ability to influence stakeholders
- Prior program management or engineering experience in search, computer vision, and/or natural language understanding
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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26.08.2025
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Apple AIML - Machine Learning Researcher Data ML Innovation United States, Washington, Seattle
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PhD, MS or equivalent experience. Experience in machine learning, deep learning, information retrieval, natural language processing or data mining. Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling...
Description:
As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of 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, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.
As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities: - Analyzing search ranking and relevance requirements, issues and opportunities- Conducting applied research to transfer the pioneering research in generative AI to production ready technologies- Understanding product requirements, translate them into modeling tasks and engineering tasks - Building machine learned models for search relevance, ranking and query understanding problems - Building end-to-end production system including query understanding and ranking to power search - Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing
- PhD, MS or equivalent experience
- Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
- Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
- Proficiency in one of following languages: Python, Go, Java, C++
- Excellent data analytical skills
- Good interpersonal skills and team player
- PhD preferred
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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26.08.2025
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Apple AIML - Distinguished Engineer Answers Knowledge & Informatio... United States, Washington, Seattle
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10+ years of R&D experience leading engineering/applied research/ML experiences in search, natural language processing/understanding. Conversational AI. MS or Ph.D. in Computer Science, Machine Learning with a specialty in reinforcement learning,...
Description:
- 10+ years of R&D experience leading engineering/applied research/ML experiences in search, natural language processing/understanding. Conversational AI.
- MS or Ph.D. in Computer Science, Machine Learning with a specialty in reinforcement learning, or a related field
- Deep expertise in the field of information retrieval, machine learning, natural language processing and understanding, and in particular, reinforcement learning-based post-training on LLM models, reward modeling, RLHF, RLAIF, Chain-of-thought, and agentic AI R&D.
- Strong product intuition and ownership
- Excellent communication skills
- Growth mindset and ability to learn new technologies
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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25.08.2025
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Apple AIML - ML Engineer Responsible AI United States, Washington, Seattle
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Strong engineering skills and experience in writing production-quality code in Python, Swift or other programming languages. Background in generative models, natural language processing, LLMs, or diffusion models. Experience with failure...
Description:
- Develop models, tools, metrics, and datasets for assessing and evaluating the safety of generative models over the model deployment lifecycle- Develop methods, models, and tools to interpret and explain failures in language and diffusion models
- Strong engineering skills and experience in writing production-quality code in Python, Swift or other programming languages
- Background in generative models, natural language processing, LLMs, or diffusion models
- Experience with failure analysis, quality engineering, or robustness analysis for AI/ML based features
- Experience working with crowd-based annotations and human evaluations
- Experience working on explainability and interpretation of AI/ML models
- Work with highly-sensitive content with exposure to offensive and controversial content
- BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
- Proven track record of contributing to diverse teams in a collaborative environment
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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25.08.2025
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Apple AIML - Machine Learning Data ML Innovation United States, Washington, Seattle
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Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning. Deep understanding in multi-modal foundation models. Staying on top of emerging trends...
Description:
You will work with a multidisciplinary team to actively participate in Apple Intelligence’s data-model co-design and co-develop practice. Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple. You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models. 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 directions, including but not limited to:Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data.Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets.Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models.Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data.Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments.Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering.
- Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.
- Deep understanding in multi-modal foundation models.
- Staying on top of emerging trends in generative AI and multi-modal LLM.
- Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.
- M.S. degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas.
- 3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality.
- Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, , etc)
- Strong problem-solving and communication skills.
- Ph.D in Machine Learning and/or related areas.
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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25.08.2025
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Apple AIML - ML Research Engineer UI Understanding United States, Washington, Seattle
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Ph.D. in Computer Science or related field, or equivalent experience. 3+ years practical experience in software development. Experience engineering production software systems on mobile devices; especially on Apple platforms. Ability...
Description:
- Ph.D. in Computer Science or related field, or equivalent experience
- 3+ years practical experience in software development
- Experience engineering production software systems on mobile devices; especially on Apple platforms
- Ability to be self-directed and handle competing demands from multiple simultaneous projects
- Experience in building early stage products, and making them robust and scalable
- Ph.D. specialization in either Human-Computer Interaction or Machine Learning
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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These jobs might be a good fit
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PhD or MS in Computer Science, Machine Learning, or related field or equivalent experience. Proficiency with modern AI technologies and building interactive data visualizations. Experience shipping products that use machine...
Description:
For this role, you need a keen curiosity about rigorous evaluation, deep understanding of modern machine learning and AI technologies, strong prototyping and development skills, and the ability to communicate sophisticated algorithms and methods in an understandable way.
As a member of this team, you will use your background in ML and HCI to:- Define and implement research directions at the forefront of interpretable machine learning- Design and implement new tools and visualizations to make designing, building, and deploying machine-learning based products faster and easier- Investigate innovative machine learning, and artificial intelligence algorithms
- PhD or MS in Computer Science, Machine Learning, or related field or equivalent experience
- Proficiency with modern AI technologies and building interactive data visualizations
- Experience shipping products that use machine learning or tools for machine learning interpretability
- Substantial contributions to research or practitioner communities, such as by publishing papers at top-conferences or contributing to open source projects
- Proven history of turning ideas into actionable tools, guidelines, or products
- Excellent verbal and written communication and presentation skills
- Strong web-development background
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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