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Machine Learning Engineer - AI & ML Evaluation Frameworks

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Apple

Senior Data and Applied AI Engineer, Core Data & Intelligence

Cupertino, CA$184,700 – $324,800Posted 28 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Imagine what you could do here. At Apple, new ideas become extraordinary products, services and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. Would you like to shape the future of Apple's products and platform, and impact some of the most far-reaching software in the world?

The Core Data & Intelligence organization builds the data, models and services that accelerate the growth of Apple's services. This role sits on the team focused on iCloud. We enable better products, features and infrastructure for iCloud users, who access all their content across apps (Photos, Mail, Messages, FaceTime, Calendar and more) from all their devices, all the time. We do that by providing consistent, scalable, timely, accurate, complete and fully integrated data infrastructure and capabilities that accurately surface relevant information.

We're looking for an exceptional Data and Applied AI Engineer with a strong background in distributed data processing, sharp and demonstrable data intuition, and a passion for using data to make Apple's products and platform better. If hard, high-leverage problems at scale energize you, we'd love to hear from you.

Description

You will build large-scale data pipelines and backend services, and partner closely with teams across iCloud to turn business needs into data solutions, iterating quickly at every stage of the pipeline. You will have real ownership and influence over the data platform that powers iCloud analytics and drives decisions across our products.

Who you are:

You are tenacious, relentless and determined.

You are curious: always learning new technologies, quickly synthesizing new information, and understanding the why before the what.

You turn vague requirements into scalable data solutions.

You care about excellence and enjoy picking up new technologies and frameworks.","responsibilities":"Build distributed data systems. Design and build scalable, highly available systems for large-scale data processing and analytics that deliver consistent results for stakeholders.

Put AI to work. Build LLM-powered applications and intelligent agents at scale that automate routine work and give stakeholders new capabilities.

Protect privacy. Uphold Apple's core values by ensuring every system and solution meets Apple's privacy policy and data security standards.

Own rich datasets. Curate and evolve extremely rich datasets on iCloud products and platform interactions to power a wide range of use cases.

Build for the future. Design solutions that fit cleanly with existing systems, and use sound judgment to bring cutting-edge technologies to iCloud's needs.

Raise the bar on quality. Understand complex systems, write clean and efficient code, and keep improving how we engineer software.

Tie technology to outcomes. Understand how key technical decisions drive business results, and partner with cross-functional teams to deliver data frameworks and platforms that get there.

Preferred Qualifications

Experience designing and building LLM-powered applications and intelligent agents at scale.

Experience in a complex, matrixed organization on cross-functional or cross-business projects.

Strong communication and collaboration skills, with the ability to lead discussions on technology strategy and approach.

A track record of improving how an organization uses data.

Minimum Qualifications

8+ years building efficient, large-scale data pipelines with Spark and other distributed data technologies (such as Hadoop, Presto, Flink or Druid).

Highly proficient in at least one of Java, Python or Scala, with strong SQL skills.

Deep expertise in data principles, data architecture and data modeling.

Solid grasp of the data lifecycle, including lineage, governance, privacy, retention and anonymity.

Hands-on experience working with LLMs and developing AI agents.

Bachelor's degree in Computer Science or Engineering, or equivalent work experience in data engineering.

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 $184,700 and $324,800, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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