Software Engineer - ML Systems and Evaluation Engineering Client Tools and Frameworks
Software Engineer - ML Systems and Evaluation Engineering Client Tools and Frameworks
Posted on :
05-08-2025
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1 Vacancy
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Job Description
You will own requirements including proof of concept development and co-own the development roadmap for ML system evaluation platform. The ideal candidate will have a proven track record in defining success by completing the full product cycle from design and implementation to gathering feedback and iterating on systems frameworks and tools for the AI/ML teams. This stellar engineer will oversee system integration and contribute to how their software is used in evaluation plans and continuous integration of ML models. The quintessential candidate will help build measure and leverage their software to provide insights into the impact of platform changes. This individual thrives in fast-paced settings leveraging a strategic mindset for problem-solving and driving innovative enhancements to Apple product user experiences.
- 5 years of professional experience in software development with a strong emphasis on designing implementing and optimizing large-scale data and compute-intensive Frameworks / APIs and tools.
- Strong software engineering skills including system design development testing debugging release and maintenance.
- Proven expertise in Swift or Obj-C (required). Python (desired) and at least one other object-oriented programming language (e.g. C C# Java).
- Good experience/exposure to service oriented architecture.
- Knowledge of statistics based evaluation approaches ML training pipelines and accuracy improvements of ML systems (Preferred).
- Experience on delivering APIs/Frameworks that have been used with production environments and customers
- Ability to develop long-term strategic visions and execute scalable solutions in fast-paced agile work environments.
- Strong organizational skills and experience working with multiple stakeholders.
- Excellent communication and documentation skills.
- Exposure to model development lifecycle including data preprocessing model training evaluation deployment and monitoring.
- BS or MS in Computer Science is preferred
Employment Type
Full-Time
Key Skills
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