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Apple Internship - Machine Learning United Kingdom, England, Cambridge 815858293
18.11.2024
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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.
Minimum Qualifications
- Professional experience in software development, with a strong emphasis on designing, implementing, and optimizing large-scale data and compute-intensive pipelines, tools, and machine learning (ML) systems.
- Strong software engineering skills, including system design, development, testing, debugging, release and maintenance.
- Proven expertise in Python (required) and at least one other object-oriented programming language (e.g., Swift, C#, Go, Java).
- Experience with the full lifecycle of ModelOps pipelines, including data preprocessing, model training, evaluation, deployment, and monitoring.
Preferred Qualifications
- Knowledge of statistics based evaluation approaches, ML training pipelines and accuracy improvements of ML systems
- 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.
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