Meta AR/VR Job | Manager, Software Engineering, Linguistics

Job（岗位）: Manager, Software Engineering, Linguistics

Type（岗位类型）: Engineering

Date（发布日期）: Before 2021-12-14

Summary（岗位介绍）

The Facebook Reality Labs AR/VR team at Facebook is helping more people around the world come together and connect through world-class Augmented, Mixed, and Virtual Reality hardware and software. With global departments dedicated to AR/VR research, machine perception, graphics, operating systems, social interaction, and more, we are committed to driving the state-of-the-art forward through relentless innovation. AR and VR’s potential to change the world is immense.

As a Linguistic Engineering (LE) Manager, you will focus on helping deliver datasets, models, and knowledge that power the ML systems across all components in the voice assistant product, such as ASR/TTS, NLU, NLG, Dialog, Reasoning, and the Knowledge Graph. The LE Manager plays a role in managing the complex data and language requirements from the cross-functional teams that work on these components, and translating those into LE workstreams. The LE Manager helps the team deliver datasets, consistent models and representations across languages and areas, as well as data infrastructure that powers the voice assistant product.

The ideal candidate has strong technical, analytical, and collaboration skills with experience in building datasets for ML applications. Experience as an ML practitioner is useful but not required as the role focuses on the datasets and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization.

Experience with data tools, pipelines, and analytics is desired for this role. The ideal candidate will have an interest in NLP and/or conversational AI systems and being at the cutting edge of their development. A plus is experience in any subfield of computational linguistics, though that is not specifically a requirement for the role.

Qualifications（岗位要求）

5+ years of work experience as data scientist, software engineer, computational linguist or in similar role

2+ years of experience directly managing a team of data scientists, software engineers, or computational linguists or similar

Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack

Experience with text analysis, scripting, relational database, No SQL databases or similar

Experience recruiting and managing technical teams, including performance management

Demonstrated experience collaborating with other internal and external teams

Experience shipping multiple products across various platforms

Description（岗位职责）

Guide the team in building datasets, pipelines, and models for ML applications

Support a team of Linguistics Engineers, many with backgrounds spanning data skills and computational linguistics, and help the team develop their technical skills further

Clearly communicate with project stakeholders

Identify best practices and improve procedures across data systems

Drive projects from conceptualization through launch and beyond with continual improvement and support

Design and conduct product experiments

Work in a dynamic, ambiguous work environment

Be self-driven and prioritize multiple work streams without oversight

Collaborate seamlessly with cross-functional teams

Additional Requirements（额外要求）

7+ years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies

5+ years of experience directly managing a technical team

5+ years relevant industry experience managing technical teams as part of a consumer-facing application

Deep understanding of the relationship between data and machine learning models

Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, etc.

Experience designing and conducting data experiments

Familiarity with version control, unit tests, and other programming best practices

Fluency in additional spoken languages

Advanced coursework and/or research in Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields