AIML - Backend Engineer, Measurements

Apple • Seattle • 5m ago

Would you like a chance to create a significant impact, working alongside world-class experts and using innovative technologies to push the boundaries of what's possible? At Apple, we believe in creating technology that enriches lives and empowers creativity. You’ll play a pivotal role in developing Apple Intelligence, driving the next generation of groundbreaking products across all Apple platforms.

Description

As a Backend Engineer in AIML Measurement, you will: - Develop and maintain systems to assess the quality and safety of Apple Intelligence, ensuring our AI/ML models meet the highest standards. - Create robust data pipelines and analytics tools to generate actionable insights from vast datasets, driving informed decision-making. - Implement processes and frameworks for the continuous quality improvement of Apple Intelligence, fostering excellence and reliability. - Design and implement scalable backend systems that support measurement and optimization efforts, ensuring performance and reliability. - Work closely with data scientists, frontend engineers, product managers, and other stakeholders to define metrics, gather requirements, and deliver impactful solutions. - Ensure backend services are scalable, efficient, and secure, handling large volumes of data with ease. - Continuously seek ways to enhance measurement frameworks, adopting best practices and integrating the latest advancements in technology.

Minimum Qualifications

2+ years in backend engineering with experience in large-scale software system design and implementation.
Proficiency in languages such as Python, Java, GoLang, C++ or Scala.
Experience with distributed systems, databases (SQL/NoSQL), and cloud platforms (AWS, Azure, GCP).
Record of building high-quality, highly scalable backend software systems.
Ability to tackle complex challenges, think critically, and deliver innovative solutions.
Excellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment.
Bachelor’s degree in Computer Science, Engineering, or a related field.

Key Qualifications

Preferred Qualifications

Solid understanding of machine learning algorithms, model evaluation metrics, and data processing pipelines.
Previous experience in a high-growth tech company or similar environment.
Active participation in open-source projects related to AI/ML or backend development.
Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code.
Master or Ph.D. in a related field.

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 $135,400 and $250,600, 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.