Machine Learning Research Engineer, Machine Tra... @ Apple
Your Application Journey
Email Hiring Manager
Job Details
About the Position
Apple Machine Translation team is searching for exceptional researchers and scientists to develop the next generation of core MT technology and Large Language Model technologies. The role focuses on breaking language barriers by enabling users to communicate and perform multilingual tasks seamlessly.
Job Description
This role involves research in Machine Translation and Multilingual Large Language Models. You will work on state-of-the-art approaches for MT and LLM technology, contributing to applications such as the Translate app, Safari web page translation, and system-wide translation. The position requires investigation of novel modeling and learning approaches as well as evaluation methods.
Responsibilities
- Research and develop machine translation and LLM models.
- Design and experiment with sequence-to-sequence learning approaches.
- Collaborate with a team to implement and scale applied AI/ML systems.
- Communicate findings effectively both orally and in writing.
Minimum Qualifications
- 3+ years of experience in machine learning and NLP.
- Experience with model training, inference, and neural machine translation.
- Proficiency in deep learning toolkits such as JAX, PyTorch, or TensorFlow.
- Strong passion for MT, LLMs, and NLP.
Preferred Qualifications
- Expertise in machine translation and large language models.
- Experience in research problem formulation and solution design.
- Skill in programming languages including C/C++/Java, Python, and bash scripting.
- Background in developing large-scale, user-facing systems.
Key skills/competency
Machine Translation, LLM, NLP, Deep Learning, Research, Python, PyTorch, TensorFlow, JAX, Communication
How to Get Hired at Apple
🎯 Tips for Getting Hired
- Tailor your resume: Highlight relevant ML and NLP experiences.
- Showcase projects: Emphasize impactful research work.
- Study Apple's work: Understand their technology and products.
- Practice interviews: Focus on technical and research questions.