Overview
On Site
USD 166,600.00 - 296,300.00 per year
Full Time
Skills
Generative Artificial Intelligence (AI)
Large Language Models (LLMs)
FOCUS
Artificial intelligence
IMPACT
Training
Evaluation
Software deployment
Data
IaaS
Machine Learning (ML)
Operations
Payments
Job Details
Summary
Join us in enabling the next generation of intelligent experiences in Apple's products and services with the latest advancements in Generative AI and Large Language Models! We are seeking a highly skilled Senior Software Engineer to join our dynamic team. This role will focus on designing, building, and maintaining large-scale distributed systems to support the end-to-end machine learning (ML) lifecycle. The ideal candidate will have a deep understanding of distributed systems, cloud infrastructure, and ML operations. Your ideas will power next generation AI features, and impact hundreds of millions of people worldwide in their daily lives!
Description
You'll be part of ML Lifecycle team in MLPT that provides platform for ML model training, evaluation, and deployment. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with data scientists, ML engineers, and partner teams to understand requirements and deliver innovative solutions. Your role will also involve deploying and maintaining cloud infrastructure for large-scale ML operations.
Pay & Benefits
Join us in enabling the next generation of intelligent experiences in Apple's products and services with the latest advancements in Generative AI and Large Language Models! We are seeking a highly skilled Senior Software Engineer to join our dynamic team. This role will focus on designing, building, and maintaining large-scale distributed systems to support the end-to-end machine learning (ML) lifecycle. The ideal candidate will have a deep understanding of distributed systems, cloud infrastructure, and ML operations. Your ideas will power next generation AI features, and impact hundreds of millions of people worldwide in their daily lives!
Description
You'll be part of ML Lifecycle team in MLPT that provides platform for ML model training, evaluation, and deployment. This platform integrates various internal ML systems and frameworks to orchestrate ML processes. You will also partner closely with data scientists, ML engineers, and partner teams to understand requirements and deliver innovative solutions. Your role will also involve deploying and maintaining cloud infrastructure for large-scale ML operations.
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 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.