Machine Learning Research Engineer, Machine Translation
Cupertino, California, United States
Machine Learning and AI
Join our innovative AI/ML - Machine Translation team and be at the forefront of revolutionizing human-computer interaction. As a Senior Software Engineer, you will focus on developing and enhancing our Machine Learning Automation and Tooling. You will work closely with cross-functional teams to build scalable, robust, and efficient model automation pipelines that power our language technologies.
Description
Machine Translation is a critical technology that enables connecting people across language barriers. The Apple MT organization is responsible for the R&D of state-of-the-art approaches to MT as well as applications of this technology (e.g., Translate app, Safari web page translation and System-wide translation).
We are looking for research scientists and engineers passionate about applied research in the space of MT, investigating novel modeling and learning approaches and evaluation methods. As a member of the core modeling team, you will have the opportunity to work with a wide variety of language technologies and advance the edge of the MT technology to tackle real world problems.
The successful candidate should have excellent oral and written communication skills and a team player. Track record of impactful contributions to the field of MT or related fields preferred for senior researchers.
Minimum Qualifications
- 3+ year experience in machine learning and NLP including model training, inference and neural machine translation, language modeling, sequence-to-sequence models, etc.
- Experience developing AI/ML systems at scale in production or in high-impact research environments.
- Knowledge with common deep learning toolkits including JAX, PyTorch or Tensorflow.
- Passionate about machine translation, large language model and natural language processing.
Key Qualifications
Preferred Qualifications
- Expertise in key language technologies including machine translation, large language
- model and natural language processing.
- Ability to formulate a research problem, design, experiment and implement solutions in
- C/C++/Java, Python, bash scripting, etc.
- Experience working with standard MT/NLP toolkits preferred, e.g. FairSeq, OpenNMT, etc.
- Design and deployment of real-world, large-scale, user-facing MT or LLM systems.
- Excellent spoken and written communication skills.
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.