Research Engineer, Language - Generative AI - Meta

Meta is seeking a Research Engineer to join our Fundamental AI Research (FAIR) Team, a research organization focused on making significant progress in AI. The ideal candidate will have industry experience working on Language related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & most pressing research challenges of our generation. We are hiring in multiple locations.

RESPONSIBILITIES

Research Engineer, Language - Generative AI Responsibilities:

• Apply relevant AI and machine learning techniques to build intelligent rich language systems that improve Meta's products and experiences
• Assist in goal setting related to project impact, AI system design, and ML excellence
• Drive large efforts across multiple teams
• Mentor other AI Engineers & improve the quality of AI work in the broader team
• Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
• Apply in-depth knowledge of how the machine learning system interacts with the other systems around it
• Collaborate with FAIR scientists on novel research in generative modeling, complex systems, and/or reinforcement learning.

MINIMUM QUALIFICATIONS

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Specialized experience in one or more of the following machine learning/deep learning domains: Language: NLP, ASR, TTS, Conversational AI
• Experience developing language algorithms or language infrastructure in C/C++ or Python
• PhD in the field of Computer Science, Artificial Intelligence, a related field, or equivalent practical experience.

PREFERRED QUALIFICATIONS

Preferred Qualifications:

• Experience in deep learning and PyTorch
• Experience with distributed systems or on-device algorithm development
• Experience contributing to AI Publications
• Experience working and communicating cross functionally in a team environment.