Apple Inc.
AIML - Senior Front End Platform Engineer - Full Stack, ML Systems and Evaluatio
Apple Inc., Cupertino, California, United States, 95014
AIML - Senior Front End Platform Engineer - Full Stack, ML Systems and Evaluation Engineering
Machine Learning and AIApple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. Here, you’ll do more than join something — you’ll add something. As part of Apple Intelligence, the Siri team is at the forefront of the next revolution in machine learning and Generative AI. We are dedicated to creating groundbreaking conversational assistant technologies. Join the ML Systems Evaluation Engineering (MLSEE) team at Apple and contribute to a highly accomplished team that evaluates AIML products, delighting and inspiring millions of people!DescriptionYou will participate in engineering design discussions and will be responsible for the end user experience. Your role includes designing and implementing production quality web applications/ML Evaluations Platform. You will need to be comfortable working both collaboratively and independently in a rapidly changing environment with ever-changing priorities. We are passionate about user experience and crafting best-in-class products.Minimum Qualifications5+ years experience in building responsive and user-friendly web applications and services/full stack development.Strong software engineering skills, including system design, development, testing, debugging, release, and maintenance.Proven expertise with popular web development frameworks (e.g. React, Angular, ...).Proven expertise in Python (required), REST APIs, and at least one other object-oriented programming language (e.g., Swift, C#, Go, Java).Good understanding of server-side CSS pre-processing platforms, such as LESS and SASS, and Data visualization with D3.js or other frameworks.Basic understanding of modular design, ES6, WebSockets, client-side caching, etc.Experience with the full lifecycle of ModelOps pipelines, including data preprocessing, model training, evaluation, deployment, and monitoring is a plus.Excellent communication and documentation skills.Preferred QualificationsReal passion for UX and design.Proven experience to write reliable, resilient, performant, and well-tested code.Knowledge of statistics-based evaluation approaches, ML training pipelines, and accuracy improvements of ML systems (Preferred).Ability to develop long-term strategic visions and execute scalable solutions in fast-paced, agile work environments.Strong organizational skills and experience working with multiple stakeholders.Big Data pipeline experience is a huge plus.Experience working in AWS cloud environment is a plus.Additional RequirementsAt 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 $143,100 and $264,200, 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. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and 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.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.
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Machine Learning and AIApple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. Here, you’ll do more than join something — you’ll add something. As part of Apple Intelligence, the Siri team is at the forefront of the next revolution in machine learning and Generative AI. We are dedicated to creating groundbreaking conversational assistant technologies. Join the ML Systems Evaluation Engineering (MLSEE) team at Apple and contribute to a highly accomplished team that evaluates AIML products, delighting and inspiring millions of people!DescriptionYou will participate in engineering design discussions and will be responsible for the end user experience. Your role includes designing and implementing production quality web applications/ML Evaluations Platform. You will need to be comfortable working both collaboratively and independently in a rapidly changing environment with ever-changing priorities. We are passionate about user experience and crafting best-in-class products.Minimum Qualifications5+ years experience in building responsive and user-friendly web applications and services/full stack development.Strong software engineering skills, including system design, development, testing, debugging, release, and maintenance.Proven expertise with popular web development frameworks (e.g. React, Angular, ...).Proven expertise in Python (required), REST APIs, and at least one other object-oriented programming language (e.g., Swift, C#, Go, Java).Good understanding of server-side CSS pre-processing platforms, such as LESS and SASS, and Data visualization with D3.js or other frameworks.Basic understanding of modular design, ES6, WebSockets, client-side caching, etc.Experience with the full lifecycle of ModelOps pipelines, including data preprocessing, model training, evaluation, deployment, and monitoring is a plus.Excellent communication and documentation skills.Preferred QualificationsReal passion for UX and design.Proven experience to write reliable, resilient, performant, and well-tested code.Knowledge of statistics-based evaluation approaches, ML training pipelines, and accuracy improvements of ML systems (Preferred).Ability to develop long-term strategic visions and execute scalable solutions in fast-paced, agile work environments.Strong organizational skills and experience working with multiple stakeholders.Big Data pipeline experience is a huge plus.Experience working in AWS cloud environment is a plus.Additional RequirementsAt 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 $143,100 and $264,200, 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. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and 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.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.
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