Apple
AIML - ML Engineer, Machine Learning Platform & Infra
Apple, Seattle, Washington, us, 98127
AIML - ML Engineer, Machine Learning Platform & Infra
Seattle,Washington,United States
Machine Learning and AI
Do you feel you think differently, you are eager to break status quo, are bold and ambitious, aren’t afraid to take risks and are passionate to build the best of class technology. If yes, what better place to be at and do this than Apple? At Apple, “we think different, we push the boundaries of computing and intelligence. We build products that bring smile to people’s face”. Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. It builds frameworks, services and tools that power the largest Apple foundation models on servers. Our Infrastructure powers a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. As part of this group, you will get a chance to bring Intelligence to billions of users across the world. You will have an opportunity to make a difference in life of people. You will have a chance to work on optimizing billions of parameter language and vision and speech models using state of the art technologies and make it run at scale of Apple.
**Description**
Work along side Foundation Model Research team to optimize inference for cutting edge model architectures. Work closely with product teams to build Production grade solutions to launch models serving millions of customers in real time. Build tools to understand bottlenecks in Inference for different hardwares and use cases. Mentor and guide engineers in the organization.
**Minimum Qualifications**
+ Demonstrated experience in leading and driving complex, ambiguous projects.
+ Experience with high throughput services particularly at supercomputing scale.
+ Proficient in running applications on Cloud (AWS, Azure, or equivalent) using Kubernetes and Docker.
+ Familiar with GPU programming concepts using CUDA and with popular machine learning frameworks like PyTorch or TensorFlow.
**Key Qualifications**
**Preferred Qualifications**
+ Proficient in building and maintaining systems written in modern languages (e.g. Go, Python).
+ Familiar with fundamental deep learning architectures such as Transformer models and encoder/decoder models.
+ Familiar with NVIDIA TensorRT-LLM, vLLM, DeepSpeed, NVIDIA Triton Inference Server.
+ Experience in writing custom CUDA kernels using CUDA or OpenAI Triton.
**Education & Experience**
**Additional Requirements**
**Pay & Benefits**
+ At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,600 and $296,300, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more ( https://www.apple.com/careers/us/benefits.html ) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
+ Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. ( https://www.eeoc.gov/sites/default/files/2023-06/22-088 \_EEOC\_KnowYourRights6.12ScreenRdr.pdf)
**Apple Footer**
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
(Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor.
Learn more
(Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance
guidelines
(opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law.
Learn more about the E-Verify program
(Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy
Learn more
(Opens in a new window) .
Apple is a drug-free workplace.
Reasonable Accommodation and Drug Free Workplace policy
Learn more
(Opens in a new window) .
#J-18808-Ljbffr
Seattle,Washington,United States
Machine Learning and AI
Do you feel you think differently, you are eager to break status quo, are bold and ambitious, aren’t afraid to take risks and are passionate to build the best of class technology. If yes, what better place to be at and do this than Apple? At Apple, “we think different, we push the boundaries of computing and intelligence. We build products that bring smile to people’s face”. Foundation Model Infrastructure team, within Machine Learning Platform Technologies organization is the back-bone of Apple Intelligence. It builds frameworks, services and tools that power the largest Apple foundation models on servers. Our Infrastructure powers a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. As part of this group, you will get a chance to bring Intelligence to billions of users across the world. You will have an opportunity to make a difference in life of people. You will have a chance to work on optimizing billions of parameter language and vision and speech models using state of the art technologies and make it run at scale of Apple.
**Description**
Work along side Foundation Model Research team to optimize inference for cutting edge model architectures. Work closely with product teams to build Production grade solutions to launch models serving millions of customers in real time. Build tools to understand bottlenecks in Inference for different hardwares and use cases. Mentor and guide engineers in the organization.
**Minimum Qualifications**
+ Demonstrated experience in leading and driving complex, ambiguous projects.
+ Experience with high throughput services particularly at supercomputing scale.
+ Proficient in running applications on Cloud (AWS, Azure, or equivalent) using Kubernetes and Docker.
+ Familiar with GPU programming concepts using CUDA and with popular machine learning frameworks like PyTorch or TensorFlow.
**Key Qualifications**
**Preferred Qualifications**
+ Proficient in building and maintaining systems written in modern languages (e.g. Go, Python).
+ Familiar with fundamental deep learning architectures such as Transformer models and encoder/decoder models.
+ Familiar with NVIDIA TensorRT-LLM, vLLM, DeepSpeed, NVIDIA Triton Inference Server.
+ Experience in writing custom CUDA kernels using CUDA or OpenAI Triton.
**Education & Experience**
**Additional Requirements**
**Pay & Benefits**
+ At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,600 and $296,300, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more ( https://www.apple.com/careers/us/benefits.html ) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
+ Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. ( https://www.eeoc.gov/sites/default/files/2023-06/22-088 \_EEOC\_KnowYourRights6.12ScreenRdr.pdf)
**Apple Footer**
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
(Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor.
Learn more
(Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance
guidelines
(opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law.
Learn more about the E-Verify program
(Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy
Learn more
(Opens in a new window) .
Apple is a drug-free workplace.
Reasonable Accommodation and Drug Free Workplace policy
Learn more
(Opens in a new window) .
#J-18808-Ljbffr