Sr Software Engineer - Data, ML Systems and Evaluation Engineering

Cupertino,California,United States

Machine Learning and AI

Apple 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. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do! When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. As part of Apple Intelligence, 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 for both large-scale systems and new client devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. Does the opportunity to play a part in building groundbreaking technology for large-scale systems, natural language and artificial intelligence excite you? Do you want to expand the experience of Siri and other AIML products to new products that will help millions get things done, across the globe? Join the ML Systems Evaluation Engineering (MLSEE) team at Apple and contribute to a highly accomplished team that evaluates AIML products, that will delight and inspire millions of people!

Description

You will own requirements, including 'proof of concept' development, and co-own the development roadmap for ML system evaluation platform Data. The ideal candidate will have a proven track record in defining success by completing the full product cycle, from design and implementation to gathering feedback and iterating on systems, data pipelines, and analytics for the AI/ML teams. This stellar engineer will oversee scalable data systems, takes full ownership of the product from development to deployment, establish and executes long term and short term roadmap for data in ML evaluation and simulation Platform

Minimum Qualifications

• 5+ years of professional software development experience

• Excellent coding skills, with emphasis on object-oriented design, data structures, algorithms, problem solving, refactoring, performance improvement and complexity analysis.

• You are proficient in at least one major language (e.g., Java, Scala, Python) and SQL (any variant) and write elegant and maintainable code, and you're comfortable with picking up new technologies.

• You are proficient in working with distributed systems and Cloud technologies such as AWS or GCP and have experience with different distributed processing frameworks that can handle data in batch and real-time e.g. Flink, Spark etc.

Key Qualifications

Preferred Qualifications

• You have a product mindset and are curious to understand what the business needs. You have a naturally collaborative style to work with cross functional teams, ML, engineering, etc in service of these needs.

• You possess a strong data intuition and apply your analytical and data engineering skills to translate business problems into scalable engineering solutions.

• You see patterns and new ways to innovate in existing spaces. As a result, you always look for opportunities to simplify, automate tasks, and build reusable components across multiple use cases and teams.

• You build data products that are well-modeled, documented and easy to understand and maintain.

• You own what you build, beyond just your code. You have a passion for quality.

• You are comfortable working in the most agile of environments with vague requirements. You are nimble and can pivot easily when needed. You are unafraid to take smart risks.

• You love working independently while also collaborating and giving/receiving candid feedback.

Education & Experience

Additional Requirements

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 (https://www.apple.com/careers/us/benefits.html) 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 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.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)

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