Description
Meta’s AR/VR division is at the forefront of developing future products in augmented and virtual reality. As a Linguistic Engineer (LE), you will contribute to delivering datasets, models, and knowledge that power the machine learning systems across key components of the voice assistant product. This includes areas such as ASR/TTS, NLU, NLG, Dialog, Reasoning, and the Knowledge Graph. The ideal candidate possesses strong technical, analytical, and collaboration skills with a focus on building datasets for machine learning applications.
Company Culture and Environment
Meta fosters an innovative and collaborative work environment, encouraging employees to engage with cutting-edge technology and create impactful products. The dynamic and ambiguous nature of the work invites self-driven individuals who thrive in team settings and adapt to evolving challenges.
Career Growth and Development Opportunities
This role provides opportunities to interface directly with machine learning teams and engage in various projects, facilitating professional growth while being at the forefront of NLP and conversational AI system development.
Detailed Benefits and Perks
• Comprehensive healthcare benefits
• Competitive compensation package including bonuses and equity
• Opportunities for professional development and training
• Work with state-of-the-art technology in a leading tech company
Compensation and Benefits
Public compensation ranges from \(133,000 to \)182,000 per year, plus bonuses, equity, and additional benefits.
Why you should apply for this position today
By applying to this position, you will be part of a pioneering team shaping the future of augmented and virtual reality technologies. You will have the opportunity to work on impactful projects that empower consumers and businesses, while also advancing your career in a forward-thinking company.
Skills
• Proficiency in programming and data analysis with languages such as Python, SQL, and PHP/Hack
• Experience with text analysis and relational or NoSQL databases
• Strong analytical skills with an interest in NLP and conversational AI
• Ability to communicate effectively with project stakeholders
• Familiarity with data tools, pipelines, and analytics
Responsibilities
• Build datasets, pipelines, and models for machine learning applications
• Clearly communicate with project stakeholders
• Identify best practices and improve procedures across data systems
• Drive and deliver projects from conceptualization through launch and beyond
• Design and conduct product experiments
• Collaborate with cross-functional teams in a dynamic work environment
Qualifications
• 2+ years of work experience as a data scientist, software engineer, computational linguist, or in a similar role
• Experience shipping multiple products across various platforms
• Knowledge of Large Language Models and their evaluation
Education Requirements
• Advanced coursework and/or research in Computer Science, Data Science, Computational Linguistics, Information Systems, or related fields
Education Requirements Credential Category
• Bachelor’s degree in a relevant field is preferred
Experience Requirements
• 2+ years in a relevant role with a focus on data and machine learning applications
• Experience with programming, data analysis, and project delivery
Why work in Burlingame, CA
Burlingame, CA offers a vibrant community with a perfect blend of nature and urban life. The city provides easy access to the San Francisco Bay Area, known for its rich culture, diverse culinary scene, and opportunities for networking in the tech industry. Burlingame’s picturesque parks and proximity to world-class attractions make it an ideal place to live and work.
Location: Anywhere
Posted: Oct. 25, 2024, 4:05 a.m.
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