Description

Description

The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Apple Ads teams. As a key contributor to this team, you will design and develop secure and scalable back-end systems. You will enjoy building high-performing, elegant machine learning systems from the ground up, in close partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solution for the interesting challenges we get to tackle here. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve. You will play a meaningful role building machine learning products which deliver on Apple's privacy commitments and change the way advertising works with data. Join us and contribute to a culture that emphasizes reliability, simplicity, and scalability. You will join a team of world-class machine learning engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing each other's growth and supporting each other in delivering for our customers!

Minimum Qualifications

• Familiarity with the model development lifecycle
• Familiarity with machine learning libraries and frameworks
• Experience writing machine learning applications and mission-critical code for production machine learning systems
• Experience building and scaling cloud-based architectures
• Experience building AI/ML tooling and/or infrastructure
• Experience working on distributed systems where scalability and performance are critical
• Prior experience in performance tuning & trouble-shooting
• Pride in building tools to automate routine tasks, organized & detailed
• Understanding of software engineering principles for maintainable code development
• Strong problem solving and debugging skills
• Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
• Results oriented with a desire to work in a fast-paced and collaborative work environment
• Prior experience in advertising industry is a huge plus
• Education & Experience
• PhD/MS/BS in Computer Science or related field with 7+ years of industry experience in building large-scale distributed software systems

Preferred Qualifications

• Education & Experience
• PhD/MS/BS in Computer Science or related field with 9+ years of industry experience in building large-scale distributed software systems

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 $181,100 and $318,400, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .