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1,142 jobs found
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 Engineering Services Project Manager United States, West Virginia
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Assist engineering managers with requirements and vendor engagement. Review statements of work, RFPs and quotations. Drive vendor selection, calibration and onboarding. Partner with procurement on contracts and negotiations. Coordinate engineering...
Description:
They will be responsible for evaluating resource and project requirements, developing vendor strategies, mitigating risks and identifying the most qualified vendors and contractors globally. They will build strategic relationships, establish high standards for service quality and define outstanding tools and processes.
This role requires collaborating multi-functionally with a large multi-disciplinary engineering organization across different time-zones as well as other internal teams such as Procurement, Finance, Legal, EPM, IS&T, New Product Security, Network Security and Supplier Responsibility.
- Assist engineering managers with requirements and vendor engagement
- Review statements of work, RFPs and quotations
- Drive vendor selection, calibration and onboarding
- Partner with procurement on contracts and negotiations
- Coordinate engineering services operations, documentation and tracking
- Oversee critical sourcing metrics, quality of service and deliver feedback to improve performance.
- Track and report financial forecasts and actual payments
- Champion standard methodologies and ensure compliance
- Implement process improvements and tools
- BS/BA degree. An engineering or technical degree and experience is helpful.
- At least 5 years or more experience with contingent workforce, resource planning and vendor management in an engineering organization within a global company.
- Strong interpersonal and analytical skills
- Ability to influence, negotiate and contribute to key strategic decisions
- Attention to detail, data accuracy and quality of output
- Outstanding flexibility in managing shifting priorities
- Experience with outsourcing, offshore development centers (ODCs) and statements of work (SOW)
- Experience with budgeting and spend analysis
- Proficiency in English (written and verbal) with outstanding presentation skills
- Proficiency in Microsoft Excel and Keynote skills
- Knowledge of database usage, survey tools and SOP documentation
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 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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09.09.2025
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Apple AIML - Sr Machine Learning Engineer Answers Knowledge & Info... United States, West Virginia
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Bachelors degree in Computer Science or a related field. 4+ years of experience in search, ranking, recommendation systems, natural language processing, deep learning, embedding techniques or LLMs. You are comfortable...
Description:
This role will entail the following responsibilities:- Understand product requirements and transform broad, open-ended requirements into concrete, well-defined engineering problems- Architect ML / search systems through their lifecycle: spanning across opportunity analysis, brainstorming, system design, project planning, implementation, integration, evaluation, hill climbing and launching to production- Employ powerful techniques across ranking, recommendations, large language models (LLMs) and reinforcement learning towards creating user impact- Smooth multi-functional collaboration across a variety of audiences; mentorship for team members
- Bachelors degree in Computer Science or a related field
- 4+ years of experience in search, ranking, recommendation systems, natural language processing, deep learning, embedding techniques or LLMs
- You are comfortable with both ML fundamentals and driving the ML lifecycle from inception to launch
- You are proficient in at least one of following languages: Python, Go, C++
- MS or PhD in Computer Science or a related field
- Experience with large-scale distributed search / machine learning systems is a plus
- You possess excellent collaborative skills — the ability to work smoothly within a team while yet being able to deliver impact individually
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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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.
Show more
These jobs might be a good fit
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