We build frontier foundation models that power intelligent experiences at Apple. Our team works ... analysis Proficiency in Python and experience with ML frameworks (PyTorch, JAX, or equivalent ...
60 Electronic Frontier Foundation Web Analyst Jobs Hiring Near You
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... analysis Proficiency in Python and experience with ML frameworks (PyTorch, JAX, or equivalent ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Preferred Qualifications Web-scale information retrieval Human-like conversation agent Multi-modal ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Preferred Qualifications Web-scale information retrieval Human-like conversation agent Multi-modal ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Web-scale information retrieval Human-like conversation agent Multi-modal perception for existing ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Web-scale information retrieval Human-like conversation agent Multi-modal perception for existing ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Preferred Qualifications Web-scale information retrieval Human-like conversation agent Multi-modal ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Preferred Qualifications Web-scale information retrieval Human-like conversation agent Multi-modal ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Web-scale information retrieval Human-like conversation agent Multi-modal perception for existing ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Web-scale information retrieval Human-like conversation agent Multi-modal perception for existing ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Build reusable tools, scorer libraries, and analysis frameworks that scale across the team ...
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Build reusable tools, scorer libraries, and analysis frameworks that scale across the team ...
Sky Frontier Foundation is the innovation and acceleration arm of Sky Protocol, built to accelerate ... Proven analytical skillset with the ability to produce clear metrics and management reporting
Sky Frontier Foundation is the innovation and acceleration arm of Sky Protocol, built to accelerate ... Proven analytical skillset with the ability to produce clear metrics and management reporting
AIML - Distinguished Engineer, Foundation Models
$311K - $496K/yr
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Preferred Qualifications Web-scale information retrieval Human-like conversation agent Multi-modal ...
AIML - Distinguished Engineer, Foundation Models
$311K - $496K/yr
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Preferred Qualifications Web-scale information retrieval Human-like conversation agent Multi-modal ...
AIML - Machine Learning Engineer, Foundation Models
$184K - $324K/yr
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Preferred Qualifications Web-scale information retrieval Human-like conversation agent Multi-modal ...
AIML - Machine Learning Engineer, Foundation Models
$184K - $324K/yr
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Preferred Qualifications Web-scale information retrieval Human-like conversation agent Multi-modal ...
AIML - Machine Learning Engineer, Foundation Models
$184K - $324K/yr
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Preferred Qualifications Web-scale information retrieval Human-like conversation agent Multi-modal ...
AIML - Machine Learning Engineer, Foundation Models
$184K - $324K/yr
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Preferred Qualifications Web-scale information retrieval Human-like conversation agent Multi-modal ...
AIML - Machine Learning Engineer, Foundation Models
$184K - $324K/yr
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Preferred Qualifications Web-scale information retrieval Human-like conversation agent Multi-modal ...
AIML - Machine Learning Engineer, Foundation Models
$184K - $324K/yr
We build frontier foundation models that power intelligent experiences at Apple. Our team works ... Preferred Qualifications Web-scale information retrieval Human-like conversation agent Multi-modal ...
Software Engineer
Menlo Park, CA · On-site
... systems and frontier foundation models for semiconductor and electronics design. The Software ... web-based environments • Collaborate with ML engineers to serve models efficiently and embed ...
Software Engineer
Menlo Park, CA · On-site
... systems and frontier foundation models for semiconductor and electronics design. The Software ... web-based environments • Collaborate with ML engineers to serve models efficiently and embed ...
Our team is building the future of intelligent robotics through frontier foundation models and end ... full-stack web experience is a bonus. Amazon is an equal opportunity employer and does not ...
Our team is building the future of intelligent robotics through frontier foundation models and end ... full-stack web experience is a bonus. Amazon is an equal opportunity employer and does not ...
Our team is building the future of intelligent robotics through frontier foundation models and end ... to analyze model architectures and propose efficiency improvements - Implement and benchmark ...
Our team is building the future of intelligent robotics through frontier foundation models and end ... to analyze model architectures and propose efficiency improvements - Implement and benchmark ...
Conduct failure analysis from component to system level. Reproduce critical failures and bridge ... Our team is building the future of intelligent robotics through frontier foundation models and end ...
Conduct failure analysis from component to system level. Reproduce critical failures and bridge ... Our team is building the future of intelligent robotics through frontier foundation models and end ...
Our team is building the future of intelligent robotics through frontier foundation models and end ... to analyze model architectures and propose efficiency improvements - Implement and benchmark ...
Our team is building the future of intelligent robotics through frontier foundation models and end ... to analyze model architectures and propose efficiency improvements - Implement and benchmark ...
Software Engineer, Platform / Applied AI
San Francisco, CA · On-site
$180 - $220/hr
... frontier foundation-model labs as its customers. Backed by top-tier investors, growing fast with ... Build and scale complex data-capture workflows across web (Next.js) and desktop (Python)
Software Engineer, Platform / Applied AI
San Francisco, CA · On-site
$180 - $220/hr
... frontier foundation-model labs as its customers. Backed by top-tier investors, growing fast with ... Build and scale complex data-capture workflows across web (Next.js) and desktop (Python)
Conduct failure analysis from component to system level. Reproduce critical failures and bridge ... Our team is building the future of intelligent robotics through frontier foundation models and end ...
Conduct failure analysis from component to system level. Reproduce critical failures and bridge ... Our team is building the future of intelligent robotics through frontier foundation models and end ...
Software Engineer
Menlo Park, CA · On-site
... frontier foundation models for semiconductor and electronics design. Backed by Sequoia Capital, w ... Integrate AI capabilities into cross-platform software products for Windows, macOS, and web-based ...
Software Engineer
Menlo Park, CA · On-site
... frontier foundation models for semiconductor and electronics design. Backed by Sequoia Capital, w ... Integrate AI capabilities into cross-platform software products for Windows, macOS, and web-based ...
Conduct failure analysis from component to system level. Reproduce critical failures and bridge ... Our team is building the future of intelligent robotics through frontier foundation models and end ...
Conduct failure analysis from component to system level. Reproduce critical failures and bridge ... Our team is building the future of intelligent robotics through frontier foundation models and end ...
Full-time
Re-posted 24 days ago
Apple rating
8.0
Based on 677 frontline employees who took The Breakroom Quiz
7th 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.
Description
This is a hands-on role focused on the models that power Apple products used daily by over a
billion people. You will design evaluation systems where the outcome is not just a score, but an
actionable signal - one that drives model improvement and predicts real user experience.
Working alongside model training and product teams, you will close the loop between evaluation
and improvement.
Our work spans three areas:
• Frontier capability assessment: benchmarking against the state of the art in reasoning,
code, knowledge, and agentic workflows
• Product-aligned evaluation: measuring model quality in ways that reflect real user
experience
• Evaluation-to-training integration: feeding actionable insights back into the model
development cycle
You may focus on one area or work across multiple, depending on your background and
interests.
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.
Minimum Qualifications
3+ years of experience in AI model evaluation, NLP, or a related area (e.g., natural language generation, information retrieval, or conversational AI)
Strong fundamentals in machine learning, natural language processing, and statistical analysis
Proficiency in Python and experience with ML frameworks (PyTorch, JAX, or equivalent)
Demonstrated ability to translate research insights into practical implementations
Strong experimental design skills: ability to design rigorous comparisons and draw valid conclusions from results
Clear technical communication: ability to distill evaluation results into actionable recommendations for cross-functional partners
MS or PhD in Computer Science, Machine Learning, Natural Language Processing or a related technical field. Equivalent practical experience will be considered.
Preferred Qualifications
PhD in Computer Science, Machine Learning, NLP, or a related field
Direct experience evaluating large language models, e.g. benchmark design, model-based judging
Track record of collaborating with model training and data teams to turn evaluation findings into training improvements
Experience building reusable evaluation tooling or analysis frameworks adopted across teams
Familiarity with human evaluation methodology and experience partnering with annotation teams or vendors to assess model quality
Description
This is a hands-on role focused on the models that power Apple products used daily by over a
billion people. You will design evaluation systems where the outcome is not just a score, but an
actionable signal - one that drives model improvement and predicts real user experience.
Working alongside model training and product teams, you will close the loop between evaluation
and improvement.
Our work spans three areas:
• Frontier capability assessment: benchmarking against the state of the art in reasoning,
code, knowledge, and agentic workflows
• Product-aligned evaluation: measuring model quality in ways that reflect real user
experience
• Evaluation-to-training integration: feeding actionable insights back into the model
development cycle
You may focus on one area or work across multiple, depending on your background and
interests.
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.
Minimum Qualifications
3+ years of experience in AI model evaluation, NLP, or a related area (e.g., natural language generation, information retrieval, or conversational AI)
Strong fundamentals in machine learning, natural language processing, and statistical analysis
Proficiency in Python and experience with ML frameworks (PyTorch, JAX, or equivalent)
Demonstrated ability to translate research insights into practical implementations
Strong experimental design skills: ability to design rigorous comparisons and draw valid conclusions from results
Clear technical communication: ability to distill evaluation results into actionable recommendations for cross-functional partners
MS or PhD in Computer Science, Machine Learning, Natural Language Processing or a related technical field. Equivalent practical experience will be considered.
Preferred Qualifications
PhD in Computer Science, Machine Learning, NLP, or a related field
Direct experience evaluating large language models, e.g. benchmark design, model-based judging
Track record of collaborating with model training and data teams to turn evaluation findings into training improvements
Experience building reusable evaluation tooling or analysis frameworks adopted across teams
Familiarity with human evaluation methodology and experience partnering with annotation teams or vendors to assess model quality
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