Senior Machine Learning Research Engineer

Summary

Posted: Jul 1, 2024
Weekly Hours: 40
Role Number:200557213
Home Office: Yes

The AI/ML - Machine Translation team is looking for exceptional researchers/scientists to develop the next generation of core MT technology to allow our users to communicate across language barriers. We have opportunities for both engineering and senior researcher roles.

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

• Master (Ph.D preferred) in Machine Learning, Computer Science or related fields, preferably with a specialization in MT or Language Modeling.

Preferred Qualifications

• Expertise in key language technologies including machine translation, large language model and natural language processing.
• Proven background in machine learning and deep learning including neural machine translation, language modeling, sequence-to-sequence models, etc.
• Hands-on experience with deep learning toolkits including JAX, PyTorch, Tensorflow, etc.
• 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, Marian, Sockeye, OpenNMT, etc.
• Design and deployment of real-world, large-scale, user-facing MT or LLM systems preferred.
• Excellent spoken and written communication skills.