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Apple AIML - Senior ML Product Evaluation Engineer Japan, Yokohama 235232080
18.11.2024
Description
As a Senior ML Product Evaluation Engineer, you’ll play a key role in shaping AI-powered products to deliver an exceptional user experience. This role requires a solid understanding of both machine learning and software engineering. You’ll lead the evaluation of ML models in large-scale systems, designing strategies that assess both feature stability and real-world model effectiveness. Collaborating with software developers, data scientists, and product managers, you will play a key role in delivering high-quality products used by millions worldwide. If you're passionate about functional testing, ML model evaluation, and seamless integration across complex platforms, this role is for you!In this role, you will:* Lead the design and execution of test plans for features across various platforms.* Test and evaluate the ML models powering Siri for accuracy, performance, and stability.* Create datasets and conduct model performance evaluations to ensure ML models meet required standards.* Debug complex issues by analyzing logs and collaborating with developers to resolve root causes efficiently.* Provide detailed test reports, highlight risks, and ensure issues are addressed before product release.* Collaborate with data scientists and ML engineers to validate model deployment and performance in production environments.
Minimum Qualifications
- 7+ years of experience with ML model testing and evaluation in production environments.
- 7+ years of experience in working with distributed systems that include multiple sub-systems and orchestration components.
- Strong experience in creating datasets for model evaluation and conducting performance benchmarks.
- Advanced debugging skills, including log stream analysis and issue reproduction.
- Familiarity with ML / MLOps framework like TensorFlow, PyTorch, or MLflow.
- Proactive and creative mindset with a can-do attitude and strong focus on delivering high-quality results.
Preferred Qualifications
- Experience validating the performance and scalability of machine learning models in a production setting.
- Ability to lead and influence testing initiatives in fast-paced, dynamic environments.
- Knowledge of Swift, XCTest or equivalent tools is a plus.
- Proficiency in configuring and maintaining CI/CD pipelines using tools such as GitHub, TeamCity, Jenkins, or similar platforms.
- Master’s degree in Machine Learning, Data Science, or related field. PhD in Machine Learning or Artificial Intelligence is preferred
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