AIML - Senior Front End Platform Engineer - Full Stack, ML Systems and Evaluation Engineering

Key Skills

Aartificial intelligence, AngularJS, Big Data Technology, C# Programming, CSS, D3.js, Data Visualization, Effective communication skills, Java Programming, Machine learning techniques, React.js, Sass, Swift

Job Description

You 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. That passion extends to the applications that our team is responsible for, and you will be expected to ensure that our applications serve our users in the best possible manner.

Minimum Qualifications

• 5+ 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 API’s 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 framework
• 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 Qualifications

• Real 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

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 $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. 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.