LLM Research Engineer: Model Optimization and Algorithms Development
Apple
LLM Research Engineer: Model Optimization and Algorithms Development
Job Description
The Science Model Optimization and Algorithms Development team brings innovative AI research into Apple products. We are looking for strong ML applied scientists and engineers to build server-based and on-device large machine learning capabilities tailored for Apple Silicon. We are part of a collaborative group of software developers and deep learning experts working in the area of neural network optimization and related algorithms. Successful candidates will have a strong software engineering background, zero-to-one machine learning development experience, and broad expertise in machine learning model optimization (quality optimization, performance optimization, etc).
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- strong software engineering backgroundintermediate
- zero-to-one machine learning development experienceintermediate
- broad expertise in machine learning model optimizationintermediate
- quality optimizationintermediate
- performance optimizationintermediate
- innovative AI researchintermediate
- build server-based large machine learning capabilitiesintermediate
- build on-device large machine learning capabilitiesintermediate
- neural network optimizationintermediate
- related algorithmsintermediate
Required Qualifications
- Experience on developing/optimizing/training large language models (LLMs), or large computer vision models, or generative AI models (experience)
- Software engineering skills in Python and general purpose system admin and infrastructure management abilities (experience)
- History of applied research in neural network model optimization or training or a related area application (experience)
- Proven track record to drive scientific investigations and experiments and overcome obstacles and uncertainty in a research environment (experience)
- MS degree and 3+ years of proven experience (experience, 3 years)
Preferred Qualifications
- Publication record at top AI/ML venues (experience)
- Experience with network optimization algorithms, e.g. quantization and compression, sparsification, knowledge distillation, or NAS (experience)
- Experience with languages such as C/C++, Java, Go, Swift, Rust, or Obj-C (experience)
- Infrastructure management and debugging experience (experience)
- Experimental rigor when training/evaluating DNNs for the purpose of benchmarking neural network optimization algorithms (experience)
- Strong communication and accountability skills; hard-working, strong work ethic, and collaboration abilities (experience)
- PHD in related field (degree in related field)
Responsibilities
- We are looking for strong ML applied scientists and engineers to build server-based and on-device large machine learning capabilities tailored for Apple Silicon. We are part of a collaborative group of software developers and deep learning experts working in the area of neural network optimization and related algorithms. Successful candidates will have a strong software engineering background, zero-to-one machine learning development experience, and broad expertise in machine learning model optimization (quality optimization, performance optimization, etc).
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LLM Research Engineer: Model Optimization and Algorithms Development
Apple
LLM Research Engineer: Model Optimization and Algorithms Development
Job Description
The Science Model Optimization and Algorithms Development team brings innovative AI research into Apple products. We are looking for strong ML applied scientists and engineers to build server-based and on-device large machine learning capabilities tailored for Apple Silicon. We are part of a collaborative group of software developers and deep learning experts working in the area of neural network optimization and related algorithms. Successful candidates will have a strong software engineering background, zero-to-one machine learning development experience, and broad expertise in machine learning model optimization (quality optimization, performance optimization, etc).
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- strong software engineering backgroundintermediate
- zero-to-one machine learning development experienceintermediate
- broad expertise in machine learning model optimizationintermediate
- quality optimizationintermediate
- performance optimizationintermediate
- innovative AI researchintermediate
- build server-based large machine learning capabilitiesintermediate
- build on-device large machine learning capabilitiesintermediate
- neural network optimizationintermediate
- related algorithmsintermediate
Required Qualifications
- Experience on developing/optimizing/training large language models (LLMs), or large computer vision models, or generative AI models (experience)
- Software engineering skills in Python and general purpose system admin and infrastructure management abilities (experience)
- History of applied research in neural network model optimization or training or a related area application (experience)
- Proven track record to drive scientific investigations and experiments and overcome obstacles and uncertainty in a research environment (experience)
- MS degree and 3+ years of proven experience (experience, 3 years)
Preferred Qualifications
- Publication record at top AI/ML venues (experience)
- Experience with network optimization algorithms, e.g. quantization and compression, sparsification, knowledge distillation, or NAS (experience)
- Experience with languages such as C/C++, Java, Go, Swift, Rust, or Obj-C (experience)
- Infrastructure management and debugging experience (experience)
- Experimental rigor when training/evaluating DNNs for the purpose of benchmarking neural network optimization algorithms (experience)
- Strong communication and accountability skills; hard-working, strong work ethic, and collaboration abilities (experience)
- PHD in related field (degree in related field)
Responsibilities
- We are looking for strong ML applied scientists and engineers to build server-based and on-device large machine learning capabilities tailored for Apple Silicon. We are part of a collaborative group of software developers and deep learning experts working in the area of neural network optimization and related algorithms. Successful candidates will have a strong software engineering background, zero-to-one machine learning development experience, and broad expertise in machine learning model optimization (quality optimization, performance optimization, etc).
Tags & Categories
Answer 10 quick questions to check your fit for LLM Research Engineer: Model Optimization and Algorithms Development @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs