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Machine Learning Scientist Personalization Science - Apple Media Products jobs at Apple in United States, Cupertino

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524 jobs found
25.08.2025
A

Apple Senior Machine Learning Systems Engineer United States, California, Cupertino

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5+ years industry experience as a Machine Learning Engineer or Software Engineer working on deploying large-scale systems. Strong understanding in data centric systems, distributed systems, reliability, and cloud services. Hands-on...
Description:
In this role, you will be responsible for engineering solutions to support model training, such as building reliable and scalable systems to run data processing pipelines, data generation engines, model evaluation infrastructure, and model inference systems. You may also be involved in directly integrating ML into products. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions.
  • 5+ years industry experience as a Machine Learning Engineer or Software Engineer working on deploying large-scale systems.
  • Strong understanding in data centric systems, distributed systems, reliability, and cloud services.
  • Hands-on experience in designing and coding large scale systems.
  • Proven experience with applied machine learning, data engineering, or similar.
  • MS in Computer Science or related experience.
  • Experience with developer tools or developer productivity systems.
  • Experience with open source or inner source
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
A

Apple Natural Language Modeling Research Scientist Siri United States, California, Cupertino

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5 - 7+ years experience in Machine Learning and its application to NLP, NLG or Speech. Hands on experience training LLMs, adapting pre-trained LLMs for downstream tasks & human alignment....
Description:
We are seeking a candidate with a proven track record in applied ML research. Responsibilities in the role will include training large scale language and multimodal models on distributed backends, deployment of compact neural architectures such as transformers efficiently on device, and learning policies that can be personalized to the user in a privacy preserving manner. Ensuring quality with an emphasis on fairness and model robustness would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross functionally. Your primary responsibilities will center on enriching conversation understanding capabilities through LLM and multimodal models. The user experience initiative would focus on enriching system safety experience.
  • 5 - 7+ years experience in Machine Learning and its application to NLP, NLG or Speech
  • Hands on experience training LLMs, adapting pre-trained LLMs for downstream tasks & human alignment
  • Experience delivering ML capabilities into great products
  • Proficiency in using ML toolkits, e.g., PyTorch
  • Strong programming skills in Python, C and C++
  • JAX (nice to have)
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
A

Apple Manager Tax Product - Apple Services Engineering United States, California, Cupertino

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5+ years of experience as a People Manager. 5+ years of experience in product management or product development, with a proven track record of leading complex, high-impact initiatives across global...
Description:
We are seeking a Manager, Tax Product to lead the strategic vision and execution of global tax initiatives across Apple Services. In this high-impact, cross-functional leadership role, you will drive the product roadmap for complex tax systems, balancing regulatory compliance with business growth. You will partner closely with senior stakeholders across engineering, legal, finance, and government affairs to shape scalable solutions that adapt to evolving international regulations while enabling innovation and operational excellence at scale.
Key Functions of the role:
  • 5+ years of experience as a People Manager
  • 5+ years of experience in product management or product development, with a proven track record of leading complex, high-impact initiatives across global markets. Experience should include managing end-to-end product lifecycles, setting strategic direction, and delivering scalable solutions in dynamic environments
  • Deep understanding of regulatory compliance, digital commerce ecosystems, and global tax environments, particularly as they relate to digital goods and services. Demonstrated ability to lead due diligence efforts, interpret tax policy changes, and assess their business and technical implications.
  • Demonstrated success in developing product strategies that align with both regulatory mandates and business goals, while driving execution across diverse, cross-functional teams including engineering, legal, finance, and operations.
  • Proven ability to operate effectively in ambiguity, make informed decisions with limited guidance, and re-prioritize in response to shifting regulatory, technical, or business landscapes.
  • Strong analytical and problem-solving skills, with the ability to distill complex requirements into clear, actionable plans. Excellent verbal and written communication skills, with a track record of influencing senior stakeholders and building consensus across global, matrixed organizations.
  • 7–10 years of experience in Tax, Commerce Product, or Business Analysis roles, with a solid understanding of the intersection between tax regulations, product development, and business operations.
  • Exceptional organizational skills, with the ability to manage multiple workstreams, prioritize effectively, and maintain attention to detail in a high-velocity, constantly evolving environment.
  • Demonstrated success in leading complex, cross-functional projects from ideation through launch, including product scoping, stakeholder alignment, and operational readiness.
  • Self-starter with a results-driven mindset, a high sense of ownership, and an inclination towards accountability and follow-through.
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
A

Apple ML Data Scientist - Marketplace Apple Ads United States, California, Cupertino

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1+ years of recent experience in a data science role. Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary. Familiar...
Description:
This role requires both a broad knowledge of statistics and creativity to invent and customize when vital. You'll dig in and get into the details. The theory behind the techniques are just the beginning. You'll be working on projects where practical applications of these approaches get applied in real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for an inquisitive, collaborative, and passionate person to join this amazing team.
  • 1+ years of recent experience in a data science role.
  • Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary.
  • Familiar with statistical analysis methods, most notably regression analysis, causal inference, statistical learning and A/B and quasi-experimentation methods.
  • Demonstrated experience in applying statistics and machine learning to generate clear actionable insights.
  • Comfortable with a variety of data stores such as Hadoop, and Snowflake, familiar with distributed analytics engines such as Spark/PySpark.
  • Possess exceptional communication skills to communicate analyses in a clear and effective manner to technical audience and executive leadership.
  • Demonstrated ability to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address messy business problems.
  • Proven ability to operate comfortably and optimally in a fast-paced and constantly evolving environment.
  • Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
  • 3+ years of recent experience in a data science role.
  • Experience in the mobile advertising industry or related field.
  • Familiarity with job orchestration frameworks such as Airflow.
  • Demonstrated ability to build visualizations, dashboards and enable broader consumption of insights and tools for investigations.
  • Post-Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/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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25.08.2025
A

Apple Software Systems Engineer – Apple Maps Navigation & Core Fra... United States, California, Cupertino

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5+ years of experience in software systems engineering, ideally on Unix-based or embedded platforms. Strong proficiency in native, compiled languages such as Objective-C, Swift, C++, C. Experience developing and shipping...
Description:
Your responsibilities will include:* Designing and developing APIs, frameworks, daemons, and internal protocols to power geolocation and navigation experiences* Building scalable, memory- and CPU-efficient systems that run across iOS, macOS, watchOS, tvOS, and more* Working in Objective-C and Swift in a performance-sensitive, embedded environment* Writing production-level code with deep attention to threading, memory management, and concurrency* Collaborating with cross-functional teams across Apple to expose internal functionality through secure and stable system APIs* Debugging at all levels of the OS stack and integrating with performance and test automation infrastructureThis is a systems-level role — not a UI or web development position. You’ll be contributing to the underlying frameworks and services that internal and third-party apps rely on.
  • 5+ years of experience in software systems engineering, ideally on Unix-based or embedded platforms
  • Strong proficiency in native, compiled languages such as Objective-C, Swift, C++, C
  • Experience developing and shipping client-side frameworks, daemons, or APIs
  • Deep understanding of systems programming concepts: concurrency, threading, memory/resource management, and performance tuning
  • Prior experience delivering production-quality software and collaborating across engineering, product, and design teams
  • Familiarity with version control and development tools such as Git, Xcode, and performance analyses tools such as Instruments
  • BS or MS in Computer Science
  • Experience designing and implementing protocols, IPC mechanisms, and Protocol Buffers
  • Background in networking, location services, or geospatial data handling
  • Strong debugging skills across the OS stack (from framework to daemon)
  • Experience with Shell scripting, Python, SQL
  • Experience with performance tuning in mobile or embedded environments (CPU, memory, network, power optimizations)
  • Familiarity with Apple’s development ecosystem (iOS/macOS/watchOS/tvOS)
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
A

Apple Apple GPU Compiler Backend/Research Engineer United States, California, Cupertino

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Experience with modern C++ programming. BS with 5 years experience, MS or PhD in computer science or related field. Knowledge of GPU architectures and how they differ from CPU architectures....
Description:
In this role, you will have the opportunity to work on defining the roadmap for Apple GPU architecture and unleash the potential for new applications. You will work cross-functionally with several hardware and software teams to prototype compiler feature support, code generation and a slew of optimizations. You will be responsible to evaluate the efficacy of the proposed changes and provide feedback. Your work will have tremendous impact across all Apple devices.
In this role you will engage and collaborate with architects and micro-architects to explore and advance features and capabilities of the Apple Silicon GPUs. You will prototype compiler support to iteratively evaluate and improve the efficacy of the hardware changes. You will drive discussions, and will be staying up-to-date with advancements in compiler technology, applying relevant insights to the development process.
  • Experience with modern C++ programming
  • BS with 5 years experience, MS or PhD in computer science or related field.
  • Knowledge of GPU architectures and how they differ from CPU architectures
  • Proven industry experience with strong background in compilers
  • Passionate about solving exciting problems related to the state-of-the-art Apple Silicon GPUs
  • Excellent written and verbal communication skills
  • Motivated to build constructive and effective relationships and solve problems collaboratively
  • Hands-on experience developing LLVM-based compiler backends
  • Experience with instruction selection, instruction schedulers and register allocators for CPU or GPU compiler backends
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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24.08.2025
A

Apple Senior Machine Learning Engineer Lead AI Agents United States, California, Cupertino

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8+ years of software development or machine learning experience. M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience. 4+ years of experience in...
Description:
As the Lead Engineer, AI Agents, you will drive the technical vision and execution for a new class of intelligent agent-based systems at Apple. Lead the end-to-end lifecycle of AI agents, from conceptualization to deployment and operational excellence.
  • 8+ years of software development or machine learning experience.
  • M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience.
  • 4+ years of experience in a technical leadership role.
  • Strong programming skills in Python and applied experience with a range of LLMs.
  • Expert in applying and extending AI agent frameworks (Google ADK, LangChain, etc.).
  • Hands-on experience developing, deploying, and operating AI agents in production.
  • Experience deploying AI systems in large-scale, hybrid environments with a focus on performance and reliability.
  • A portfolio of deployed agentic systems that have delivered significant, measurable impact.
  • Experience in evaluation frameworks for AI agents.
  • Proven expertise in optimizing AI agents for latency, scalability, and cost.
  • A track record of thought leadership or contributions to the field of agentic AI.
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

Limitless High-tech career opportunities - Expoint
5+ years industry experience as a Machine Learning Engineer or Software Engineer working on deploying large-scale systems. Strong understanding in data centric systems, distributed systems, reliability, and cloud services. Hands-on...
Description:
In this role, you will be responsible for engineering solutions to support model training, such as building reliable and scalable systems to run data processing pipelines, data generation engines, model evaluation infrastructure, and model inference systems. You may also be involved in directly integrating ML into products. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions.
  • 5+ years industry experience as a Machine Learning Engineer or Software Engineer working on deploying large-scale systems.
  • Strong understanding in data centric systems, distributed systems, reliability, and cloud services.
  • Hands-on experience in designing and coding large scale systems.
  • Proven experience with applied machine learning, data engineering, or similar.
  • MS in Computer Science or related experience.
  • Experience with developer tools or developer productivity systems.
  • Experience with open source or inner source
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
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