AIML - Applied Research Engineer, Machine Translation
Core
Building scalable, high-quality machine translation model assets for Apple's ecosystem (iOS, iPadOS, macOS, watchOS) using large language models and reinforcement learning.
Role type
Applied Research Engineer (Machine Translation)
Builds
Production ML models for text and speech translation
Domain
Consumer Technology / Natural Language Processing
Deliverable
production ML models
Required skills
Python, C++, LLM fine-tuning (SFT, RLHF, GRPO), distributed training pipelines, synthetic data generation, large-scale data processing (Spark/Dask), model evaluation & benchmarking
Preferred skills
PyTorch, GCP/AWS, speech translation, multimodal models, reward modeling
Technologies
PyTorch, Spark, Dask, GCP, AWS
Responsibilities
Design and implement LLM fine-tuning pipelines for translation quality; Drive production model improvements from experimentation to rollout; Generate and curate training data (organic and synthetic); Develop large-scale distributed training pipelines; Build tooling for automated quality checks and regression testing; Define evaluation criteria and reward signals; Collaborate on data assets, model versioning, and release schedules.
Seniority
Senior, hands-on IC