2 days ago
Minato, JapanSenior
Responsibilities
- Design, build, and ship data, models, and systems that bring Siri AI features to new languages and markets.
- Work across the full ML lifecycle, including data, training, evaluation, and deployment.
- Build and debug production services or data products end to end.
- Collaborate with Siri modeling, evaluation, data science, deployment, ML platform, and safety teams.
- Apply agentic coding, context engineering, and AI-assisted workflows to automate engineering and data tasks.
- Improve Siri quality across accents, code-switching, low-resource languages, and locale-specific requirements.
Requirements
- Bachelor's or master's degree in computer science or a related field, or equivalent experience.
- Strong software engineering fundamentals and proficiency in Python.
- Hands-on experience across the ML lifecycle, including data, training, evaluation, and deployment.
- Strong understanding of LLM, NLP, ML, and their applications.
- Hands-on experience with ASR, acoustic triggering, or TTS in international locales.
- Extensive hands-on experience with agentic AI-assisted coding and context engineering.
- Analytical, data-driven approach and strong written and verbal communication skills.
- Preferred: experience building synthetic data generation pipelines and using them to launch features or improve product metrics.
- Preferred: experience with large-scale data or ML infrastructure such as Spark or Kubernetes, and LLM evaluation such as LLM-as-judge.
- Preferred: track record of shipping user-facing ML features in multiple languages or markets.
Tech Stack
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.
