AIML – Sr Full-stack Software Engineer, Data Operations
Imagine what you could do here. Are you excited to take on big challenges that could create a positive impact for billions of people? Are you passionate about building elegant product experiences with a world-class engineering and design team? Do you have a passion for solving complex business and user problems with high-quality software? At Apple, great ideas quickly become extraordinary user experiences. Apple’s central AIML organization is looking for a talented full-stack software engineer to join our Data Operations engineering team.
Description
Our broader organization is responsible for delivering high-quality, human annotated, machine learning data at scale for product teams across Apple. We are both an operations engineering team and a trusted partner in the development of Apple’s consumer software and hardware experiences. This global data annotation and collection initiative enables Apple to create amazing machine learning driven experiences and advance flagship experiences like Siri, Photos, Vision Pro and more. Our team delivers custom, high-value, scalable, self-service solutions to accelerate the machine-learning data annotation program such as reinforcement learning from human feedback (RLHF) at Apple. We are an Agile product and engineering team making and augmenting user experiences by providing insights into key metrics, creating automated workflows, and providing services, APIs, and user-interfaces to a diverse set of stakeholders. We build and maintain cloud-based services, large-scale data pipelines, web applications, and native applications (iOS and macOS). Robust, predictable, scalable, monitored, efficient and highly-available services are critical to our success. We are a user-focused, multi-disciplinary team of exceptional designers, product managers and software engineers with a variety of backgrounds. We embrace diverse opinions, open debate, taking risks, and are always looking to grow as a team. We work backwards from our customers' needs. This role is focused on distributed systems engineering and with specific responsibilities including:
- Definition of vision and strategic plans
- Ownership of multi-functional and cross-organizational programs as the “directly responsible individual”
- Partnering with leaders and engineers to influence and define execution plans
- Fostering a collaborative culture of excellence both within the Data Operations Engineering team and across Apple
- Design and evaluation of software and infrastructure architectures
- Creating prototypes and/or proof of concepts to demonstrate that a proposed solution would work
- Mentorship of junior engineers and technical leaders
- Research on industry landscape and technology developments
- Authoring technical reports and presentations
- Presenting to audiences at varying levels of the organization
If you are a software engineer and technical lead who has excellent engineering practices and a sharp focus on customers, then come join us!
Minimum Qualifications
- Excellent collaboration and communication skills with a focus on the user experience.
- Experience leading and delivering complex projects with multiple cross-functional technical and business collaborators spanning different teams.
- 7+ or more years of experience designing, building, and maintaining Unix-based, scalable distributed or cloud-based business systems (AWS, GCP, or Azure; applications using three or more dependent services).
- Ability to make software that meets functional requirements with a great user experience.
- Experience mentoring other software engineers.
- Enjoys learning new skills and technologies.
- Experience writing automated unit, integration, and acceptance tests, and using continuous integration systems.
- Bachelors or greater in Computer Science or equivalent experience.
Preferred Qualifications
- Exceptional candidates may have experience with one or more of the following:
- Familiarity with or interest in Agile software development processes (Scrum, Extreme Programming, or similar).
- Experience with parallel distributed computing systems like using Spark or Hadoop.
- Experience with more than one modern programming language.
- Experience with databases and strong SQL skills.
- Experience using Infrastructure as Code orchestration systems (Terraform, Pulumi, or similar).
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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