Sr Full-Stack Software Engineer, AIML Data Operations

Apple Inc.
Cupertino, CA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$181,100.0 - $272,100.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Android Software Development Apple IOS Apple Mac Systems Microsoft Azure C++ (Programming Language) Cloud Database Collaborative Software Data Structures
+32 more
Data Warehousing Database Design Software Debugging Software Design Patterns Distributed Systems Apache Hadoop Python (Programming Language) NoSQL Object-Oriented Software Development DataOps Software Deployment Software Engineering Software Systems SQL Databases Web Applications Web Application Frameworks Rust (Programming Language) Multithreading Google Cloud ReactJS Concurrency Apache Spark Vue.js AngularJS Kubernetes Information Technology Apache Kafka Objective C++ Artificial Intelligence Markup Language (AIML) Data Pipelines Golang Programming Languages

Requirements

Do you have experience in Testing and evaluation?, Do you have a Bachelor’s degree?, If you are a creative, curious, and collaborative software engineer with strong computer science fundamentals and a track record of shipping production software at scale, come join us., Experience with Swift and a passion for developing high-quality applications across Apple’s diverse platforms (iOS, macOS, visionOS, watchOS, etc.).

Experience building highly performant UIs using modern JavaScript frameworks (e.g., React, Angular, Vue) with a focus on polished user experiences and accessibility.

Experience with large-scale distributed systems (e.g., Spark, Hadoop, Kafka, Kubernetes).

Experience administering and optimizing commercial cloud services (e.g., AWS, Google Cloud, Microsoft Azure) for scalable and resilient application deployments.

Experience with database design, optimization, and SQL, including relational, NoSQL, and data warehousing technologies.

Experience mentoring junior and mid-level engineers and contributing to team-wide engineering excellence.

Proficiency in additional programming languages (e.g., Python, JavaScript, Go, Rust).

Minimum Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or a closely related technical field, or equivalent practical experience

10+ years of progressive experience in designing, building, testing, debugging, and operating production-grade software systems including meaningful contributions in one or more of the following:

iOS or Android applications backed by cloud-based services

Robust web applications and supporting APIs

Scalable, cloud-based data-processing pipelines

Experience with designing complex software systems, including applied knowledge of data structures, algorithms, design patterns, concurrency, multi-threading, and scalability principles.

Track record of leading and delivering complex software development assignments that require creativity, navigating ambiguity and applying analytical and problem-solving skills.

Exceptional collaboration, interpersonal, and technical communication skills, capable of influencing and driving technical outcomes across diverse, multi-disciplinary teams.

Demonstrated expertise in a modern, compiled, object-oriented language such as Swift, Objective-C, Go, C++, or Java.

Benefits & conditions

4.14.1 out of 5 stars Cupertino, CA $181,100 - $272,100 a year, Pulled from the full job description

  • Employee stock purchase plan
  • Health insurance
  • Retirement plan
  • Dental insurance
  • RSU, 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 $181,100 and $272,100, 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 the company

Artificial intelligence is one of the most profound technologies of our lifetime. It’s rapidly changing Apple products, making them more personal, intuitive, and capable than ever before. Imagine what you could do here., The AIML Data Operations organization delivers high-quality, human-annotated machine learning data at scale to product teams across Apple. We are both a global operations engineering team and a trusted partner in the development of Apple’s consumer software experiences and hardware products. Our work directly contributes to experiences across Apple, like Apple Intelligence, Siri, Vision Pro, and more.

Our engineering team delivers custom, internal software solutions that accelerate the collection and delivery of machine learning data. Our data collection clients include multiple Swift and web applications backed by cloud-based web services. We design, build and operate large-scale distributed data-processing pipelines.

Our team is user-focused, highly-collaborative, and growth-minded. We embrace emerging technologies, diverse perspectives, and taking shared risks.

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