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.
- 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.
- 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.
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 t...
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.
- 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.
- 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.
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