דרושים Machine Learning Researcher Multimodal Foundation Models ב-אפל ב-United States, Sunnyvale

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.

משרות נוספות שיכולות לעניין אותך

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

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

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Apple Machine Learning Compiler Engineer United States, California, Sunnyvale

שיתוף

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.

Apple Machine Learning Compiler Architect United States, California, Sunnyvale

שיתוף

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.

Apple Machine Learning Data Scientist United States, California, Sunnyvale

שיתוף

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.

Apple Applied Machine Learning Research Engineer United States, California, Sunnyvale

שיתוף

You’ll work on ground breaking research projects to advance our AI and computer vision capabilities, contribute to both foundational research and practical applications on multimodal large language models, and design, implement, and evaluate algorithms and models for human understanding. You have a strong background in developing and exploring multimodal large language models that integrate diverse data modalities such as text, image, video, and audio. You’ll have the opportunity to collaborate with multi-functional teams, including researchers, data scientists, software engineers, human interface designers and application domain experts. You’ll stay up-to-date on the latest advancements in AI, machine learning, and computer vision and apply this knowledge to drive innovation within the company.

Experience in developing, training/tuning multimodal LLMs.
Programming skills in Python.
Bachelors degree and a minimum of 3 years relevant industry experience.

Expertise in one or more of: computer vision, NLP, multimodal fusion, Generative AI.
Experience with at least one deep learning framework such as JAX, PyTorch, or similar.
Publication record in relevant venues.
PhD in Computer Science, Electrical Engineering, or a related field with a focus on AI, machine learning, or computer vision.

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

Apple Computer Vision Machine Learning Engineer United States, California, Sunnyvale

שיתוף

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

Proficient in C/C++, CUDA or other GPGPU
Expertise in at least one deep learning framework, eg: PyTorch, TensorFlow, or Jax
Solid foundation in 3D graphics and computer vision
Understanding of machine learning technology
Bachelor degree and a minimum of 3 years relevant industry experience

Swift is a plus
Be able to work independently and with others
Excellent problem-solving, critical thinking, and communication skills
Passion for cutting edge AI and spatial computing technologies and product delivery

Apple Applied Research Engineer - Multimodal LLMs Human Interactio... United States, California, Sunnyvale

שיתוף

You will:- Conduct research and development on multimodal large language models, focusing on exploring and utilizing diverse data modalities. - Design, implement, and evaluate algorithms and models to enhance the performance and capabilities of our AI systems.

Experience in developing, training/tuning foundation models and multimodal LLMs.
Programming skills in Python.
Master of Science and a minimum of 2 years of relevant industry experience.

PhD in Computer Science, Electrical Engineering, or a related field with a focus on AI, machine learning, or computer vision.
Expertise in one or more of: computer vision, NLP, multimodal fusion, Generative AI, Self-Supervised Learning, Reinforcement Learning, Agentic AI.
Experience with at least one deep learning framework such as PyTorch, JAX, or similar.
Publication record in relevant venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, and ECCV.
Experience in leading ML initiatives and a proven record of shipping products.

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

1 2 3 4 5 6

United States, California, Sunnyvale

506012541

26.08.2025

שיתוף

תיאור:

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.

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