We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Demonstrated expertise in deep learning with publications at top ML or NLP conferences, or a track ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Demonstrated expertise in deep learning with publications at top ML or NLP conferences, or a track ...
... at Apple. Ph.D. in Computer Science, Machine Learning, NLP, Statistics, or a related field-or equivalent industry experience delivering production AI systems.Expert knowledge of deep learning and ...
... at Apple. Ph.D. in Computer Science, Machine Learning, NLP, Statistics, or a related field-or equivalent industry experience delivering production AI systems.Expert knowledge of deep learning and ...
Preferred Qualifications Strong background and experience in Machine Learning, NLP, and RAG. Strong ... Apple employees also have the opportunity to become an Apple shareholder through participation in ...
Preferred Qualifications Strong background and experience in Machine Learning, NLP, and RAG. Strong ... Apple employees also have the opportunity to become an Apple shareholder through participation in ...
... Apple products, including Siri, Spotlight, Safari, Messages, and more. Our team operates in one of ... NLP, or recommender systems Familiarity with NLP/ML tools and packages like Jax, TensorFlow ...
... Apple products, including Siri, Spotlight, Safari, Messages, and more. Our team operates in one of ... NLP, or recommender systems Familiarity with NLP/ML tools and packages like Jax, TensorFlow ...
Strong background and experience in Machine Learning, NLP, and RAG. * Strong engineering and R&D ... At Apple, base pay is one part of our total compensation package and is determined within a range.
Strong background and experience in Machine Learning, NLP, and RAG. * Strong engineering and R&D ... At Apple, base pay is one part of our total compensation package and is determined within a range.
... Apple products, including Siri, Spotlight, Safari, Messages, and more. Our team operates in one of ... Familiarity with NLP/ML tools and packages like Jax, TensorFlow, pyTorch, etc. * Experience working ...
... Apple products, including Siri, Spotlight, Safari, Messages, and more. Our team operates in one of ... Familiarity with NLP/ML tools and packages like Jax, TensorFlow, pyTorch, etc. * Experience working ...
Senior Machine Learning Engineer, Search & Knowledge Platforms
Santa Clara, CA · On-site
$142K - $188K/yr
... Apple products, including Siri, Spotlight, Safari, Messages, and more. Our team operates in one of ... Familiarity with NLP/ML tools and packages like Jax, TensorFlow, pyTorch, etc. * Experience working ...
Senior Machine Learning Engineer, Search & Knowledge Platforms
Santa Clara, CA · On-site
$142K - $188K/yr
... Apple products, including Siri, Spotlight, Safari, Messages, and more. Our team operates in one of ... Familiarity with NLP/ML tools and packages like Jax, TensorFlow, pyTorch, etc. * Experience working ...
Having a history of peer-reviewed scientific publications in NLP is a plus. Multiple positions are ... on Apple or Linux OSes Additional Information Benefits * Competitive Base Salary * Medical ...
Having a history of peer-reviewed scientific publications in NLP is a plus. Multiple positions are ... on Apple or Linux OSes Additional Information Benefits * Competitive Base Salary * Medical ...
... Apple products, including Siri, Spotlight, Safari, Messages, and more. Our team operates in one of ... NLP, or recommender systems Familiarity with NLP/ML tools and packages like Jax, TensorFlow ...
... Apple products, including Siri, Spotlight, Safari, Messages, and more. Our team operates in one of ... NLP, or recommender systems Familiarity with NLP/ML tools and packages like Jax, TensorFlow ...
You will collaborate closely with several engineering teams at Apple --such as Accessibility, Hardware, Human Interface, NLP, Privacy, etc- to power exciting Apple Intelligence features and ship them ...
You will collaborate closely with several engineering teams at Apple --such as Accessibility, Hardware, Human Interface, NLP, Privacy, etc- to power exciting Apple Intelligence features and ship them ...
You will collaborate closely with several engineering teams at Apple -such as Accessibility, Hardware, Human Interface, NLP, Privacy, etc- to power exciting Apple Intelligence features and ship them ...
You will collaborate closely with several engineering teams at Apple -such as Accessibility, Hardware, Human Interface, NLP, Privacy, etc- to power exciting Apple Intelligence features and ship them ...
At Apple, new ideas have a way of becoming phenomenal products very quickly. There's no telling ... natural language processing (NLP), or using large language models in industry ...
At Apple, new ideas have a way of becoming phenomenal products very quickly. There's no telling ... natural language processing (NLP), or using large language models in industry ...
... teams across NLP, application frameworks, and OS technologies to ensure seamless integration across all Apple platforms. Key responsibilities include: - Designing and maintaining robust ...
... teams across NLP, application frameworks, and OS technologies to ensure seamless integration across all Apple platforms. Key responsibilities include: - Designing and maintaining robust ...
Generative AI, Agentic AI systems, Natural Language Processing (NLP) (e.g., text summarization ... Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined ...
Generative AI, Agentic AI systems, Natural Language Processing (NLP) (e.g., text summarization ... Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined ...
The Apple Knowledge Quality Team is building the next-generation of machine learning solutions for ... NLP and Large Language ModelsExperience working with large data sets and pipelines, ideally using ...
The Apple Knowledge Quality Team is building the next-generation of machine learning solutions for ... NLP and Large Language ModelsExperience working with large data sets and pipelines, ideally using ...
Senior Applied Researcher
San Francisco, CA · On-site
$181K - $318K/yr
Apple Services Engineering (ASE) builds experiences that touch hundreds of millions of customers ... D. in Computer Science, Machine Learning, NLP, Statistics, or a related field-or equivalent ...
Senior Applied Researcher
San Francisco, CA · On-site
$181K - $318K/yr
Apple Services Engineering (ASE) builds experiences that touch hundreds of millions of customers ... D. in Computer Science, Machine Learning, NLP, Statistics, or a related field-or equivalent ...
The Apple Services Engineering (ASE) organization is one of the most exciting examples of Apple ... Our team has strong expertise in NLP, Information Retrieval, Machine Learning, Language Modeling ...
The Apple Services Engineering (ASE) organization is one of the most exciting examples of Apple ... Our team has strong expertise in NLP, Information Retrieval, Machine Learning, Language Modeling ...
Software Engineer - Applied Machine Learning & Localization
Cupertino, CA · On-site
$120K - $164K/yr
This person will be a creative, motivated, passionate technical leader who has a robust understanding of large language models (LLMs), Natural Language Processing (NLP) and Apple software frameworks.
Software Engineer - Applied Machine Learning & Localization
Cupertino, CA · On-site
$120K - $164K/yr
This person will be a creative, motivated, passionate technical leader who has a robust understanding of large language models (LLMs), Natural Language Processing (NLP) and Apple software frameworks.
Sr Machine Learning Engineer, Proactive
$181K - $318K/yr
... Apple. We are looking for people with excellent applied machine learning experience and solid ... Familiarity with NLP/ML tools and packages like Jax,TensorFlow, pyTorch, etc. * Experience working ...
Sr Machine Learning Engineer, Proactive
$181K - $318K/yr
... Apple. We are looking for people with excellent applied machine learning experience and solid ... Familiarity with NLP/ML tools and packages like Jax,TensorFlow, pyTorch, etc. * Experience working ...
Sr Machine Learning Engineer, Proactive
$181K - $318K/yr
... with NLP/ML tools and packages like Jax,TensorFlow, pyTorch, etc. Experience working with ... Apple employees also have the opportunity to become an Apple shareholder through participation in ...
Sr Machine Learning Engineer, Proactive
$181K - $318K/yr
... with NLP/ML tools and packages like Jax,TensorFlow, pyTorch, etc. Experience working with ... Apple employees also have the opportunity to become an Apple shareholder through participation in ...
Apple Nlp information
See salary details
$37.5K - $52K
2% of jobs
$52K - $66.4K
3% of jobs
$66.4K - $80.9K
6% of jobs
$80.9K - $95.3K
9% of jobs
$100K is the 25th percentile. Wages below this are outliers.
$95.3K - $109.8K
15% of jobs
The median wage is $119.4K / yr.
$109.8K - $124.2K
22% of jobs
$132.2K is the 75th percentile. Wages above this are outliers.
$124.2K - $138.7K
32% of jobs
$138.7K - $153.1K
3% of jobs
$153.1K - $167.6K
4% of jobs
$167.6K - $182K
1% of jobs
$182K - $196.5K
2% of jobs
$37.5K
$122.7K
$196.5K
How much do apple nlp jobs pay per year?
As of Jun 12, 2026, the average yearly pay for apple nlp in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
Apple rating
8.1
Based on 661 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team
We are building the next generation of models optimized for Agentic, Reasoning, and Coding capabilities. This means training models via RL to reason from first principles, building autonomous coding agents that operate in real repositories, and developing agentic systems that handle multi-step workflows with error recovery. You will work on problems like: RL with verifiable rewards for mathematical reasoning, multi-turn RL for coding agents evaluated on SWE-Bench and beyond, scaling laws for RL compute allocation, progressive alignment across capability stages, and training models to manage their own context in long-horizon tasks. This is applied research with direct product impact - your work will ship to millions of users.
Demonstrated expertise in deep learning with publications at top ML or NLP conferences, or a track record of applying deep learning techniques to productsProficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or TensorflowAbility to work in a collaborative environment.PhD, or equivalent practical experience, in Computer Science, or related technical field.
Reinforcement learning for LLMs: RLHF, GRPO, PPO, RLVR, reward modeling, RL scaling lawsCode generation and coding agents: repository-level code understanding, agentic codingAgentic systems: multi-turn RL, tool-use planning, long-horizon task execution, user simulationDistillation and alignment: on-policy distillation, reward-tilted distillation, cross-stage distillation to combine independently optimized capabilities into a single modelLong context and efficiency: sparse attention, context compression, scaling to very long context windows
We are building the next generation of models optimized for Agentic, Reasoning, and Coding capabilities. This means training models via RL to reason from first principles, building autonomous coding agents that operate in real repositories, and developing agentic systems that handle multi-step workflows with error recovery. You will work on problems like: RL with verifiable rewards for mathematical reasoning, multi-turn RL for coding agents evaluated on SWE-Bench and beyond, scaling laws for RL compute allocation, progressive alignment across capability stages, and training models to manage their own context in long-horizon tasks. This is applied research with direct product impact - your work will ship to millions of users.
Demonstrated expertise in deep learning with publications at top ML or NLP conferences, or a track record of applying deep learning techniques to productsProficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or TensorflowAbility to work in a collaborative environment.PhD, or equivalent practical experience, in Computer Science, or related technical field.
Reinforcement learning for LLMs: RLHF, GRPO, PPO, RLVR, reward modeling, RL scaling lawsCode generation and coding agents: repository-level code understanding, agentic codingAgentic systems: multi-turn RL, tool-use planning, long-horizon task execution, user simulationDistillation and alignment: on-policy distillation, reward-tilted distillation, cross-stage distillation to combine independently optimized capabilities into a single modelLong context and efficiency: sparse attention, context compression, scaling to very long context windows
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976