Senior Machine Learning Platform and Ops Engineer

SummaryPosted: Nov 1, 2022Weekly Hours: 40 Role Number:200439567At Apple, we work every day to create products that enrich people s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informational and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy.Key QualificationsKey QualificationsExperience building and scaling systems both on premise and the cloud. Experience building large scale applications/servicesExperience with building AI/ML infrastructure, writing production level code, & deploying Machine Learning models to prodExperience working on complex problems and systems where scalability and performance are very important (every millisecond counts)Proven experience architecting, developing and deploying internet-scale, distributed and critical servicesPride in building tools to automate routine tasks, organized & detailedFamiliar with CI, CD & Deployment toolingRelease engineering & release management experienceNetwork, scaling, performance tuning & trouble-shootingStrong problem solving and debugging skills are required. Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teamsResults oriented and deadline drivenA desire to work in a fast-paced and challenging work environmentPrior experience in advertising industry is a huge plus.DescriptionDescriptionThe Machine Learning, Experimentation and Ad Serving team designs and builds best of breed systems for dealing with our complex and ever-growing platform needs that help deliver highly optimized advertising content to consumers. Are you a results-oriented and versatile engineer who can excel in an Agile environment? You will work closely with data scientists, work with other engineers to design, develop, and implement solutions, including leveraging open source, and building tools, frameworks, and components that will enable us to improve and scale our ML Platforms and model release lifecycle. The team is directly responsible for systems that are used by thousands of advertisers, publishers and developers and has high visibility in the mobile advertising space. ML Engineering, experimentation and serving team is the backbone of Apple s Ad Platform. We are responsible for bringing numerous features to advertisers and consumers while simultaneously supporting continuous experimentation by the Data Science team. As a key contributor to this team, you will manage, design and develop secure and scalable back-end systems. You will enjoy high-performing, elegant 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. Join us and contribute to a culture that emphasizes understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, and productivity. We are one team, nurturing each other s growth and supporting each other in delivering for our customers and Apple! 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. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.Education & ExperienceEducation & ExperienceYou've earned a: (a) PhD in Computer Science with experience building production systems, or (b) MS in CS with 2+ years of experience in working with large data projects with at least 1 year building software/ml platforms, or (c) BS in CS with 4+ years of experience in the industry with at least 2 year building software/ml platformsAdditional RequirementsAdditional RequirementsPay & BenefitsPay & BenefitsAt 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 $130,000 and $242,000, 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.