Backend Engineer, Measurement
Backend Engineer, Measurement
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Salary Not Disclosed
1 Vacancy
Job Description
- 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.
- Bachelors 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.
Employment Type
Full Time
