Overview
On Site
USD 166,600.00 - 296,300.00 per year
Full Time
Skills
Computer hardware
Software development
User experience
Shipping
Data engineering
Training
Evaluation
Collaboration
Design
Machine Learning (ML)
Project management
UI
Payments
Job Details
Summary
Would you like to join us in building the next generation of machine learning platform powering Apple's intelligent experiences across: hardware, software and service products?We are looking for senior full stack software engineer who's passionate about machine learning tooling! Ideal, you need to be proficient in full stack development and skills in: web, mobile or desktop app development. You should have a passion in UX and a strong record of building and shipping applications. You will work closely with an extraordinary ML infra and platform team to build tooling and enable faster integration for bringing ML ideas into Apple products.
Description
Our team is a part of a group within Apple's ML platform organization, that enables ML teams to support ML lifecycle project, such as: data engineering, labeling, training, online and offline evaluation, experimentation and more.Within our group, you will closely collaborate with: design, backend infrastructure, ML engineering and project management teams to brainstorm, prototype and bring features into production. Our team takes full ownership of both web frontend and backend projects.
Pay & Benefits
Would you like to join us in building the next generation of machine learning platform powering Apple's intelligent experiences across: hardware, software and service products?We are looking for senior full stack software engineer who's passionate about machine learning tooling! Ideal, you need to be proficient in full stack development and skills in: web, mobile or desktop app development. You should have a passion in UX and a strong record of building and shipping applications. You will work closely with an extraordinary ML infra and platform team to build tooling and enable faster integration for bringing ML ideas into Apple products.
Description
Our team is a part of a group within Apple's ML platform organization, that enables ML teams to support ML lifecycle project, such as: data engineering, labeling, training, online and offline evaluation, experimentation and more.Within our group, you will closely collaborate with: design, backend infrastructure, ML engineering and project management teams to brainstorm, prototype and bring features into production. Our team takes full ownership of both web frontend and backend projects.
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.