Machine Learning Data Scientist jobs at Apple in United States, Sunnyvale

Designing and developing the foundational agentic system that enables Siri to translate natural language queries into tool calls and engage in multi-turn conversations with users. Collaborating with researchers, software engineers,...

Apple Senior Machine Learning Engineer - Large United States, California, Sunnyvale

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As a Senior Machine Learning Engineer, your mission will be to lead advancements in Siri’s language understanding capabilities using state-of-the-art LLM technologies. Your responsibilities will include:

Designing and developing the foundational agentic system that enables Siri to translate natural language queries into tool calls and engage in multi-turn conversations with users.

Collaborating with researchers, software engineers, and product designers to integrate AI innovations into Siri’s user experience.

Staying at the forefront of research in LLMs, NLP, and AI, and converting cutting-edge advancements into practical, user-facing improvements.If you are passionate about pushing the limits of conversational AI and want to see your work impact millions of users globally, we’d love to hear from you.

Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related quantitative field; or a BSc with 3+ years of relevant industry experience.
Strong proficiency in Python and ML frameworks such as PyTorch and Hugging Face.
Proven ability to design and implement scalable ML pipelines, including preprocessing, training, and deployment in production.
Excellent problem-solving, analytical, and collaborative skills.

Solid understanding of NLP evaluation metrics, with experience benchmarking and optimizing model performance.
Hands-on experience building and deploying large-scale machine learning models, particularly in generative AI, LLMs, Retrieval-Augmented Generation (RAG), or agentic systems.
Expertise in data generation and augmentation, including synthetic data creation, active learning strategies, and constructing robust datasets for model training.
Published research or notable contributions in LLMs, NLP, or AI is highly desirable.

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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Apple Senior Machine Learning Engineer - Large United States, California, Sunnyvale

Apple Senior Machine Learning Engineer - Large United States, California, Cupertino

Apple Senior Machine Learning Engineer - Large United States, West Virginia

Apple Large Language Model Machine Learning Engineer United States, West Virginia

Bachelor’s degree in Computer Science, Computer Engineering, or a related field with 3 years of relevant experience. Experience with program analysis and IR (Intermediate Representation), or programming language design, particularly...

Apple Machine Learning Compiler Engineer United States, California, Sunnyvale

As a Machine Learning Compiler Engineer, you will:• Architect and develop the compiler for Apple's proprietary Neural Engine Accelerator, optimizing it for deep learning inference with a focus on performance, scalability, and power efficiency• Collaborate with cross-functional teams, including hardware and platform architecture teams, to bring new hardware silicon to market and ensure compiler support for next-gen features• Lead the design and implementation of complex compiler features, advancing both technical capabilities and strategic alignment across the team and company• Play an instrumental role in defining new compiler architecture approaches and optimizations, balancing trade-offs between performance, energy efficiency, and hardware constraints• Identify and drive initiatives that will improve the scalability and general performance of AI workloads on Apple hardware, contributing to the vision and roadmap of the Apple Neural Engine team

Bachelor’s degree in Computer Science, Computer Engineering, or a related field with 3 years of relevant experience
Experience with program analysis and IR (Intermediate Representation), or programming language design, particularly with MLIR and LLVM
Proven expertise in compiler design and architecture, including deep experience with front-end and middle-end optimizations, register allocation, and back-end code generation
High-level proficiency in C++ and experience working with large, complex software systems

Master's or PhD degree in Computer Science, Computer Engineering, or a related field
Demonstrated ability to ship high-quality production software
Strong communication skills and ability to collaborate effectively across teams and functions
Experience optimizing compilers for distributed, parallel, or heterogeneous execution environments, with a solid understanding of shared memory, synchronization, and multi-threading techniques
Expertise in neural network inference on specialized SoCs or GPUs, and knowledge of deep learning frameworks and tools
Familiarity with Just-in-Time (JIT) compilation and dynamic optimization techniques for real-time code execution

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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Bachelor’s Degree in one of the following fields: Electrical, Mechanical, Structural, or Civil Engineering, Architecture or Architectural Engineering, Construction Management or equivalent experience. 5+ years experience in BIM administration. Experience...

Apple BIM Systems Engineer Data Center United States, California, Sunnyvale

As the BIM Systems Engineer, you will be the subject matter expert for the Data Center Engineering function; oversee the owner quality review of CAD drawings and BIM models on large, complex projects; provide leadership in documentation-related process development and re-engineering; and develop and maintain our BIM technologies roadmap.Responsibilities:Develop process for the standardization of documentation, file structure and types to drive consistency across projects.Collaborate with internal and external teams to consolidate design record documentation and construction as-built information for the development and maintenance of accurate and detailed BIM administrative models for large and complex projects.Provide quality reviewed BIM deliverables to facilities teams for operational use.Manage the maintenance of the BIM-related digital assets to ensure they remain reflective of the current building asset condition.Research, introduce, and support the implementation of industry-leading BIM technology.

Bachelor’s Degree in one of the following fields: Electrical, Mechanical, Structural, or Civil Engineering, Architecture or Architectural Engineering, Construction Management or equivalent experience.
5+ years experience in BIM administration
Experience with tool automation, such as Dynamo or Autodesk Platform Services API programming.
Building and equipment related 3D modeling, using tools such as Revit, Inventor, SolidWorks or other BIM/MCAD.

Excellent communication skills and the ability to collaborate effectively with multidisciplinary teams.
Experienced with MEP and/or structural-related BIM modeling.
Strong familiarity with drafting (AutoCAD) and modeling (Revit, Navisworks and reality capture) applications.
Detailed knowledge of Autodesk Construction Cloud.
Experience with scripting and/or visual programming automation tools (Dynamo and Python).
Project management and tracking experience.
Advanced spreadsheet and/or data base skills for data manipulation, project tracking, and analysis.
Proficiency with Mac, Linux and Windows systems.
Experienced with Civil3D and ArcGIS integration.
Willingness to explore and learn new tools and processes, which may require travel to Apple facilities to train and collaborate with cross-functional teams.

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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Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query. Programming experience in building high-quality software with at-least one of the following programming languages...

Apple Software Engineer Data Ai & Platforms United States, California, Sunnyvale

We engineer high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, reporting and production models. Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure. This role will build solutions that integrate open source software with Apple’s internal ecosystem. You will drive development of new components and features from concept to release: design, build, test, and ship at a regular cadence. You will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform. This is a challenging software engineering role, where a large part of an engineer's time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users. This role requires in-depth knowledge of innovative technologies and cloud data platform with the ability to independently learn new technologies and contribute to the success of various initiatives.

Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query
Programming experience in building high-quality software with at-least one of the following programming languages - Python, Scala or Java.
Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications.
Bachelor's degree in Computer Science or equivalent experience

3 or more years of experience building enterprise-level data applications on distributed systems
Hands-on experience in designing and development of cloud-based applications that include compute services, database services, APIs to design RESTful services, ETL, queues and notification services.
Experience in cloud data warehousing platforms like Snowflake is highly valued
Experience developing Big Data applications using Java, Spark, Kafka is a huge plus
Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving
Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud
Data Visualization Tools: experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker
Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of basic ML models in the space of anomaly detection, forecasting, GenAI.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

In-depth working knowledge of compiler architecture, front-end and middle-end optimizations, scheduling, register allocation, back-end code generation. Experience with IR and/or programming language design, esp. experience with MLIR and LLVM. High...

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25.08.2025

Apple Machine Learning Compiler Architect United States, California, Sunnyvale

We develop compiler technology to accelerate deep learning applications for Apple products. In this role, you will be empowered to:

In-depth working knowledge of compiler architecture, front-end and middle-end optimizations, scheduling, register allocation, back-end code generation
Experience with IR and/or programming language design, esp. experience with MLIR and LLVM
High level C++ programming expertise and experience working in a large and complex software stack with a consistent track record of building high quality production software
Bachelor's degree in Computer Science, Computer Engineering or equivalent and a minimum of 20 years of relevant industry experience

Experience with compiling for distributed and parallel execution environment including distributed execution, shared memory, synchronization, etc.
Experience with neural networks inference on dedicated SoC or GPU is highly desired
Understanding of JIT techniques for dynamic optimization and execution of code
Ability to analyze and optimize program execution paths

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

7+ years of software engineering experience especially building data-intensive applications. Deep expertise in Java and JVM ecosystem, including performance optimization and troubleshooting. Proven track record of designing and implementing scalable...

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25.08.2025

Apple Sr Software Engineer Framework - Java Ai & Data Platforms United States, California, Sunnyvale

As a Senior Framework Software Engineer, you'll lead the architectural vision and development of our cutting-edge Data and ML platform ecosystem. You'll drive technical decisions across our suite of products, including data processing pipelines, insights portals, and model deployment frameworks. We're looking for a technical leader who can balance pragmatic solutions with innovation – someone who can mentor teams, make architectural decisions that scale, and navigate complex technical tradeoffs while delivering business value.

7+ years of software engineering experience especially building data-intensive applications.
Deep expertise in Java and JVM ecosystem, including performance optimization and troubleshooting
Proven track record of designing and implementing scalable distributed systems
Strong background in system design, microservices architecture, and API development
Deep understanding of data structures and algorithms.
Bachelor’s degree in computer science or related field or equivalent

Experience in building and deploying cloud-native applications/products
Experience designing and developing scalable & performant micro-services and Rest APIs
Experience leading technical projects and mentoring other engineers
Strong problem-solving skills and Excellent communication skills
Hands-on experience with modern Big Data technologies (Spark, Kafka, etc.)
Prior experience in the areas of AI/ML/Data Sciences will be a plus
Contributions to open-source projects will be a huge plus

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

BS and a minimum of 3 years relevant industry experience. Proven background in data science, machine learning, computer vision and statistical data analysis. Advanced programming skills in data manipulation &...

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25.08.2025

Apple Machine Learning Data Scientist United States, California, Sunnyvale

In this role you will:- Evaluate ML & MM-LLM Models: Analyze and validate computer vision, multi-modal, and large language models to ensure they meet accuracy, robustness, and usability standards.- Develop Metrics: Design and implement metrics to measure the efficiency and accuracy of models.- Data Processing: Clean, transform, and curate large-scale datasets for model evaluation and benchmarking.- Model Optimization: Apply innovative techniques to optimize models for scalability and real-world deployment.

BS and a minimum of 3 years relevant industry experience
Proven background in data science, machine learning, computer vision and statistical data analysis.
Advanced programming skills in data manipulation & processing (SQL & Python preferred).
Demonstrated experience in in-depth analysis of machine learning model failures.
Experience crafting, conducting, analyzing, and interpreting experiments and investigations.
Expertise in data wrangling and developing data visualizations & reporting with toolings such as Tableau, Superset, AWS etc.

Experience working with multi-modal foundation models such as GPT-4o, Gemini 2.5, Claudi 3/4, LLaVA, Flamingo, etc.
Familiar with machine learning interpretability method and standard processes.
Exposure to evaluating vision-language models in production or research settings.
Experience handling complex programs and collaborating across engineering, product, and data teams.
Detail-oriented to keep track of and understand the workings of sophisticated algorithms.
Strong attention to detail in working with large datasets and complex ML systems.
Curious, self-motivated, and able to drive improvements to model evaluation pipelines and annotation programs.
Outstanding communication skills – both written and verbal – with experience presenting to leadership.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AppleSenior Machine Learning Engineer - Large

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1 2 3 4 5 6

United States, California, Sunnyvale

506012541

26.08.2025

Description:

Designing and developing the foundational agentic system that enables Siri to translate natural language queries into tool calls and engage in multi-turn conversations with users.

Collaborating with researchers, software engineers, and product designers to integrate AI innovations into Siri’s user experience.

Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related quantitative field; or a BSc with 3+ years of relevant industry experience.
Strong proficiency in Python and ML frameworks such as PyTorch and Hugging Face.
Proven ability to design and implement scalable ML pipelines, including preprocessing, training, and deployment in production.
Excellent problem-solving, analytical, and collaborative skills.

Solid understanding of NLP evaluation metrics, with experience benchmarking and optimizing model performance.
Hands-on experience building and deploying large-scale machine learning models, particularly in generative AI, LLMs, Retrieval-Augmented Generation (RAG), or agentic systems.
Expertise in data generation and augmentation, including synthetic data creation, active learning strategies, and constructing robust datasets for model training.
Published research or notable contributions in LLMs, NLP, or AI is highly desirable.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.