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Aiml - Machine Learning Researcher Foundation Models jobs at Apple
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1,128 jobs found
09.09.2025
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Apple Machine Learning Engineer United States, West Virginia
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Experience building machine learning models. Familiarity with the model development lifecycle. Familiarity with machine learning libraries and frameworks. Experience writing machine learning applications and mission-critical code for production machine learning...
Description:
- Experience building machine learning models
- Familiarity with the model development lifecycle
- Familiarity with machine learning libraries and frameworks
- Experience writing machine learning applications and mission-critical code for production machine learning systems
- Experience building and scaling cloud-based architectures
- Experience building AI/ML tooling and/or infrastructure
- Experience working on distributed systems where scalability and performance are critical
- Prior experience in performance tuning & trouble-shooting
- Pride in building tools to automate routine tasks, organized & detailed
- Understanding of software engineering principles for maintainable code development
- Strong problem solving and debugging skills
- Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
- Results oriented with a desire to work in a fast-paced and collaborative work environment
- Prior experience in advertising industry is a huge plus
- Education & Experience
- PhD/MS/BS in Computer Science or related field with 7+ years of industry experience in building large-scale distributed software systems
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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09.09.2025
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Apple AIML - Sr/Staff ML Engineer Machine Learning Platform & Inte... United States, West Virginia
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7+ years of coding skills. Background in computer science: algorithms and data structures. Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes. Proficient in designing, developing, and...
Description:
- 7+ years of coding skills
- Background in computer science: algorithms and data structures
- Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes
- Proficient in designing, developing, and deploying high-performance, reliable, and scalable software solutions in production
- Excellent interpersonal skills able to work independently as well as in a team
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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09.09.2025
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Apple AIML - Sr Engineering Program Manager Cloud Infrastructure United States, West Virginia
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10+ years of Product and/or Program management with experience covering as many of the following as possible: search engine infrastructure, internet services, distributed computing, a large-scale & international user base,...
Description:
- Work closely with Engineering, Finance, Procurement, and Release teams in support of projects to scale cloud infrastructure and ensure maximum availability of public-facing services including specifications, scope, requirements, timelines, and resource allocation.- Gather requirements and define qualification plans for new infrastructure build-outs and services.- Provide timely updates for all project milestones; both org-level updates and exec-level status.
- 10+ years of Product and/or Program management with experience covering as many of the following as possible: search engine infrastructure, internet services, distributed computing, a large-scale & international user base, a product with external dependencies (e.g. partner data feeds), and responsibility for rapid-response actions.
- Strong technical experience with cloud infrastructure, large scale systems, Linux/server operating systems running on containers, big data, and networking. Bonus points for past Engineering experience.
- Career examples of hands-on involvement in delivering operational frameworks, tools, and processes that improved the customer experience.
- Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (realtime) triage, prioritize, and lead cross-functional teams under pressure.
- Outstanding communication and presentation skills, written and verbal, to all levels of an organization. High operational precision and attention to detail.
- Innate drive to improve how things work, with proven track record of driving dramatic improvements for team quality, performance, agility, or effectiveness.
- BS/MS in EE/CS/CE or similar field
- BS/MS EE/CS/CE or equivalent
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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09.09.2025
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Apple Senior Speech Machine Learning Engineer United States, West Virginia
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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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09.09.2025
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Apple AIML - Machine Learning Engineer Foundation Models United States, West Virginia
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Design and implement scalable, reliable and high-performance machine learning infrastructure for foundation models across text, image, speech, and multi-modal domains. Collaborate with other teams to productionize state-of-the-art AI algorithms. Optimize...
Description:
- Design and implement scalable, reliable and high-performance machine learning infrastructure for foundation models across text, image, speech, and multi-modal domains
- Collaborate with other teams to productionize state-of-the-art AI algorithms
- Optimize models for performance, efficiency, and on-device intelligence
- Implement machine learning systems with stringent privacy and security requirements
- May also be required to manage a small team of engineers.
- MS or PhD in Computer Science, Machine Learning, or related technical field
- Expert-level programming skills in Python
- Proficiency in machine learning frameworks such as Jax, PyTorch, TensorFlow
- Strong background in: Distributed training, Model optimization, and Machine learning infrastructure
- Experience with large-scale model training and deployment
- Familiarity with: Kubernetes, Docker, Cloud platforms (AWS, GCP, Azure)
- Distributed computing frameworks
- Experience with foundation models and large language models
- Background in multi-modal AI systems
- Demonstrated ability to transform research prototypes into production systems
- Published research or significant contributions to open-source ML projects
- Understanding of on-device machine learning techniques
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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09.09.2025
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Apple AIML - ML Researcher Foundation Models United States, West Virginia
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Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep...
Description:
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. Further, you will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see you ideas not only published in papers, but also improve the experience of billions of users.
- Demonstrated expertise in deep learning with a 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
- Ability to work in a collaborative environment
- PhD, or equivalent practical experience, in Computer Science, or related technical field
- Web-scale information retrieval
- Human-like conversation agent
- Multi-modal perception for existing products and future hardware platforms
- On-device intelligence and learning with strong privacy protections
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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09.09.2025
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Apple AIML Data Operations Annotation Analyst - Austrian German Mo... United States, West Virginia
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Austrian German reading, writing, and comprehension skills to support the language specific market. Fluency in English reading, writing and comprehension skills to partner with international teams. Excellent active listening skills...
Description:
As part of the Data Operations team you'll play a central role in enhancing the user experience. We work in a fast paced, dynamic, technology focused environment. As an Annotation Analyst, you'll annotate data which can be both audio and visual and evaluate data from customers who have opted in to the grading program. You'll use your language and cultural knowledge, along with analytical skills, to evaluate responses and information against guidelines. Your flexibility and the ability to prioritize tasks is essential. We focus on the user experience, thinking creatively on how customers use our products and use this knowledge for improvements.This position is required to work Monday through Friday with work hours starting between 7am-9am and ending between 4pm-6pm local time with scheduling and work flexibility based on business needs.
- Austrian German reading, writing, and comprehension skills to support the language specific market
- Fluency in English reading, writing and comprehension skills to partner with international teams
- Excellent active listening skills with the ability to understand verbal nuances
- Understanding of the local region and cultural variations
- Demonstrates integrity and focuses on customer privacy
- Demonstrates attention to detail and critical thinking skills in evaluation of language usage and dialect
- Highly organized with strong attention to detail
- Ability to independently navigate systems and tools
- Experience in content review or a similar environment, prior testing experience preferred
- Demonstrates flexibility and adaptability to changing work-flows and responsibilities
- Grows with a team where expertise is shared and feedback is welcomed
- Excels at working independently to make timely decisions and take appropriate actions
- Experience as an end user of Siri, similar Intelligent Personal Assistants, or other AI
- Successfully meets or exceeds targets, working within tight deadlines
- Ability to identify business process solutions that increase efficiencies
- Ability to maintain focus and aim for high results through large volumes of tasks
- Ability to work on safety data which could include offensive material
- Thrives in repetitive work and ambiguous scenarios
- Bachelor’s degree or equivalent job-related experience
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Experience building machine learning models. Familiarity with the model development lifecycle. Familiarity with machine learning libraries and frameworks. Experience writing machine learning applications and mission-critical code for production machine learning...
Description:
- Experience building machine learning models
- Familiarity with the model development lifecycle
- Familiarity with machine learning libraries and frameworks
- Experience writing machine learning applications and mission-critical code for production machine learning systems
- Experience building and scaling cloud-based architectures
- Experience building AI/ML tooling and/or infrastructure
- Experience working on distributed systems where scalability and performance are critical
- Prior experience in performance tuning & trouble-shooting
- Pride in building tools to automate routine tasks, organized & detailed
- Understanding of software engineering principles for maintainable code development
- Strong problem solving and debugging skills
- Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
- Results oriented with a desire to work in a fast-paced and collaborative work environment
- Prior experience in advertising industry is a huge plus
- Education & Experience
- PhD/MS/BS in Computer Science or related field with 7+ years of industry experience in building large-scale distributed software systems
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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