Senior Software Engineer - Machine Learning Infrastructure - Apple Maps

Senior Software Engineer - Machine Learning Infrastructure - Apple Maps

The Apple Maps Data Infrastructure team needs exceptional engineers to help build capabilities across a spectrum of technologies in a hybrid-cloud environment.

As a key contributor, you will be at the forefront of shaping the technological landscape, focusing on machine learning infrastructure, batch processing, real-time processing, and data Lakehouse technologies.

This role offers a great opportunity to power a variety of business units through technological innovation at Apple. The Maps Data Infrastructure team is committed to supporting the Apple Maps business by building technological capabilities that not only enable the business operations but also optimize infrastructure efficiency.

We are facing challenges every day to deal with data at a massive scale. That is why we are looking for strong engineers who love solving challenging problems through conducting independent research and collaborating with teams across Apple.

As a senior member of our team, you will be at the forefront of tackling challenging problems and addressing a wide array of use cases.

Your role involves delivering innovative solutions, providing insightful perspectives on emerging technologies, and making platform-level impacts.

This is an opportunity to work on innovative projects that demand creativity, strategic thinking, and a commitment to excellence.

If you're ready to embrace diverse challenges, contribute to groundbreaking solutions, and be a driving force behind technological advancements, we invite you to join us on this exciting journey.

Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.

Description

We are looking for an exceptionally curious and motivated candidate who is excited by the opportunity to rapidly build the reputation of subject matter expert in data and ML infrastructure across the organization.

You will collaborate with a wide range of internal teams, listening intently to understand their pain points and true underlying needs.

Using your problem-solving abilities, you will draw insights that enable you to scope, architect, and deliver innovative high-quality solutions.

This role offers substantial scope for capability-building across multiple domains and technologies, learning deeply from our expert teams of developers, data engineers, and data scientists.

The candidate is expected to have strong fundamentals in relevant domains that will facilitate self-directed learning driven by intellectual curiosity.

We provide a collaborative environment that empowers you to expand your expertise rapidly. You will engage broadly across the organization, using excellent communication skills to translate needs into solutions.

If accelerating your learning excites you and you aspire to become a leading authority in multiple technology spheres, this is the opportunity for you.

Minimum Qualifications

• 10 years of hands-on experience in the realm of large-scale data processing and / or machine learning infrastructure, showcasing a robust understanding of the complexities associated with such environments.
• Familiarity with a diverse set of technologies, including but not limited to Spark, Flink, Kafka, Iceberg, and Ray, in the data and machine learning ecosystem.
• Strong hands-on programming skills, particularly in Java or other JVM languages, showcasing the ability to develop robust, scalable, and maintainable codebases for intricate data and machine learning infrastructure.
• A strong sense of ownership and an unwavering commitment to excellence in all aspects of work.
• A customer-focused approach, combined with excellent listening skills and a deep understanding of user requirements. Be adept at translating user needs into actionable solutions and acting as a subject matter expert in customer discussions.
• Exhibit proficiency in scoping and prioritizing tasks with a focus on incremental delivery and an iterative approach, ensuring adaptability to evolving project requirements.

Preferred Qualifications

• Former experience in public cloud systems, particularly in AWS or GCP environments, is a great plus.
• Knowledge of Kubernetes is a significant plus.
• Proactive engagement with the open-source community, aligning business objectives with the principles of collaborative development and innovation.

Nice to have) Experience with GPU / training / LLM / Inferencing.

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 $175,800 and $312,200, 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.

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.

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