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Apple AIML - Backend Engineer Evaluation United States, California 849729505
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As a Backend Engineer in AIML Evaluation, 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 evaluation 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 evaluation frameworks, adopting best practices and integrating the latest advancements in technology.
- 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.
- 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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