Model vacancy in Pittsburgh USA
Job
Apple Inc.
Pittsburgh, PA (In Person)
Full-Time
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Job Description
AIML - Sr.
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. Description 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. Education & Experience Education & Experience Master (Ph.D preferred) in Machine Learning Computer Science or related fields preferably with a specialization in MT or Language Modeling. Additional Requirements Additional Requirements
Machine Learning Research Engineer, Machine Translation SummaryPosted:
Dec 14 2023Weekly Hours:
40Role Number:
200528878 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. Key Qualifications Key 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. Description 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. Education & Experience Education & Experience Master (Ph.D preferred) in Machine Learning Computer Science or related fields preferably with a specialization in MT or Language Modeling. Additional Requirements Additional Requirements
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