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Machine Learning Research Engineer - Large Language Models (LLMs), Siri Core Modeling

Apple

Machine Learning Research Engineer - Large Language Models (LLMs), Siri Core Modeling

Apple logo

Apple

full-time

Posted: November 5, 2025

Number of Vacancies: 1

Job Description

Join the Siri Planner team as a Machine Learning Research Engineer and play a pivotal role in shaping the future of virtual assistants. You’ll contribute to revolutionizing how millions of Siri users worldwide interact with their Apple devices by building ground breaking AI solutions. As a Machine Learning Research Engineer, you will help with initiatives to significantly advance Siri’s natural language understanding and planning capabilities using innovative LLM technologies. YOUR CORE RESPONSIBILITIES WILL INCLUDE: • Developing innovative systems for synthetic training data generation and implementing strategies for the continuous optimization of model performance. • Designing and implementing agentic workflows and RAG systems to enhance Siri’s capabilities. • Optimizing model performance for tool calling and reasoning tasks. • Actively staying at the forefront of academic and industry research in LLMs, NLP, and agentic systems, and translating novel insights into practical solutions. • Collaborating closely with a multidisciplinary team of researchers, software engineers, and product designers to seamlessly integrate AI innovations into the Siri user experience.

Locations

  • Cupertino, California, United States 95014

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

40,000,000 - 80,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • synthetic training data generationintermediate
  • model performance optimizationintermediate
  • agentic workflows designintermediate
  • RAG systems implementationintermediate
  • tool calling optimizationintermediate
  • reasoning tasks optimizationintermediate
  • LLM researchintermediate
  • NLP researchintermediate
  • agentic systems researchintermediate
  • translating research insights into solutionsintermediate
  • collaboration with multidisciplinary teamsintermediate
  • AI integration into user experienceintermediate

Required Qualifications

  • Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related quantitative field; or BSc with 2+ years of relevant industry experience (experience, 2 years)
  • Hands on experience in machine learning engineering outside of research (experience)
  • Strong Python proficiency, including development, debugging, and design, coupled with extensive experience using ML frameworks (e.g. PyTorch, Jax, HuggingFace) (experience)
  • Excellent problem-solving, critical thinking, and interpersonal skills, with a collaborative attitude (experience)

Preferred Qualifications

  • Proven hands-on experience in machine learning engineering for large-scale models, with a strong focus on generative AI, LLMs, Retrieval Augmented Generation (RAG), or agentic systems (experience)
  • Applying LLMs for synthetic data generation (e.g. for knowledge distillation) or applying reinforcement learning for post-training or fine-tuning of LLMs. (experience)
  • A successful track record of building and deploying end-to-end ML data pipelines (data preparation, storage, training, and inference) in cloud or on-premise environments. (experience)
  • Experience with training, fine-tuning, and deploying LLMs in production environments. (experience)
  • Proficiency in evaluating LLMs for specific product tasks and performance metrics. (experience)

Responsibilities

  • As a Machine Learning Research Engineer, you will help with initiatives to significantly advance Siri’s natural language understanding and planning capabilities using innovative LLM technologies.
  • YOUR CORE RESPONSIBILITIES WILL INCLUDE:
  • • Developing innovative systems for synthetic training data generation and implementing strategies for the continuous optimization of model performance.
  • • Designing and implementing agentic workflows and RAG systems to enhance Siri’s capabilities.
  • • Optimizing model performance for tool calling and reasoning tasks.
  • • Actively staying at the forefront of academic and industry research in LLMs, NLP, and agentic systems, and translating novel insights into practical solutions.
  • • Collaborating closely with a multidisciplinary team of researchers, software engineers, and product designers to seamlessly integrate AI innovations into the Siri user experience.

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Apple logo

Machine Learning Research Engineer - Large Language Models (LLMs), Siri Core Modeling

Apple

Machine Learning Research Engineer - Large Language Models (LLMs), Siri Core Modeling

Apple logo

Apple

full-time

Posted: November 5, 2025

Number of Vacancies: 1

Job Description

Join the Siri Planner team as a Machine Learning Research Engineer and play a pivotal role in shaping the future of virtual assistants. You’ll contribute to revolutionizing how millions of Siri users worldwide interact with their Apple devices by building ground breaking AI solutions. As a Machine Learning Research Engineer, you will help with initiatives to significantly advance Siri’s natural language understanding and planning capabilities using innovative LLM technologies. YOUR CORE RESPONSIBILITIES WILL INCLUDE: • Developing innovative systems for synthetic training data generation and implementing strategies for the continuous optimization of model performance. • Designing and implementing agentic workflows and RAG systems to enhance Siri’s capabilities. • Optimizing model performance for tool calling and reasoning tasks. • Actively staying at the forefront of academic and industry research in LLMs, NLP, and agentic systems, and translating novel insights into practical solutions. • Collaborating closely with a multidisciplinary team of researchers, software engineers, and product designers to seamlessly integrate AI innovations into the Siri user experience.

Locations

  • Cupertino, California, United States 95014

Salary

Salary not disclosed

Estimated Salary Rangemedium confidence

40,000,000 - 80,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • synthetic training data generationintermediate
  • model performance optimizationintermediate
  • agentic workflows designintermediate
  • RAG systems implementationintermediate
  • tool calling optimizationintermediate
  • reasoning tasks optimizationintermediate
  • LLM researchintermediate
  • NLP researchintermediate
  • agentic systems researchintermediate
  • translating research insights into solutionsintermediate
  • collaboration with multidisciplinary teamsintermediate
  • AI integration into user experienceintermediate

Required Qualifications

  • Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related quantitative field; or BSc with 2+ years of relevant industry experience (experience, 2 years)
  • Hands on experience in machine learning engineering outside of research (experience)
  • Strong Python proficiency, including development, debugging, and design, coupled with extensive experience using ML frameworks (e.g. PyTorch, Jax, HuggingFace) (experience)
  • Excellent problem-solving, critical thinking, and interpersonal skills, with a collaborative attitude (experience)

Preferred Qualifications

  • Proven hands-on experience in machine learning engineering for large-scale models, with a strong focus on generative AI, LLMs, Retrieval Augmented Generation (RAG), or agentic systems (experience)
  • Applying LLMs for synthetic data generation (e.g. for knowledge distillation) or applying reinforcement learning for post-training or fine-tuning of LLMs. (experience)
  • A successful track record of building and deploying end-to-end ML data pipelines (data preparation, storage, training, and inference) in cloud or on-premise environments. (experience)
  • Experience with training, fine-tuning, and deploying LLMs in production environments. (experience)
  • Proficiency in evaluating LLMs for specific product tasks and performance metrics. (experience)

Responsibilities

  • As a Machine Learning Research Engineer, you will help with initiatives to significantly advance Siri’s natural language understanding and planning capabilities using innovative LLM technologies.
  • YOUR CORE RESPONSIBILITIES WILL INCLUDE:
  • • Developing innovative systems for synthetic training data generation and implementing strategies for the continuous optimization of model performance.
  • • Designing and implementing agentic workflows and RAG systems to enhance Siri’s capabilities.
  • • Optimizing model performance for tool calling and reasoning tasks.
  • • Actively staying at the forefront of academic and industry research in LLMs, NLP, and agentic systems, and translating novel insights into practical solutions.
  • • Collaborating closely with a multidisciplinary team of researchers, software engineers, and product designers to seamlessly integrate AI innovations into the Siri user experience.

Target Your Resume for "Machine Learning Research Engineer - Large Language Models (LLMs), Siri Core Modeling" , Apple

Get personalized recommendations to optimize your resume specifically for Machine Learning Research Engineer - Large Language Models (LLMs), Siri Core Modeling. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Machine Learning Research Engineer - Large Language Models (LLMs), Siri Core Modeling" , Apple

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Hardware

Related Jobs You May Like

No related jobs found at the moment.