Software Engineer, Language (Technical Leadership)

Software Engineer, Language (Technical Leadership) at Meta

Meta is actively seeking AI Software Engineers to join their innovative Research & Development teams. This role is ideal for candidates with substantial industry experience in Language-related topics, applying these skills to address some of the most critical and exciting challenges on the web. Meta is committed to expanding its team across multiple global locations.

Responsibilities

• Apply advanced AI and machine learning techniques to construct intelligent, rich language systems that enhance Meta's products and user experiences.
• Contribute significantly to goal setting, specifically around project impact and system architecture.
• Develop custom and novel architectures, define practical use cases, and establish methodologies and benchmarks for evaluating diverse approaches.
• Leverage in-depth understanding of how machine learning systems integrate and interact with surrounding technical ecosystems.
• Provide technical leadership within a team environment, navigating multiple scientific and engineering disciplines, and making crucial architectural trade-offs for rapid software delivery.
• Mentor fellow AI Engineers, actively improving the quality and standard of AI work across the broader team.
• Drive the team's objectives and technical direction, identifying opportunities to enhance the efficiency of the larger organization.
• Effectively communicate complex features and system designs with clarity and detail.
• Produce clean, readable code and skillfully debug intricate problems that span across various systems.
• Stay abreast of industry and company-wide trends to inform the assessment and development of new technologies.
• Collaborate strategically with organizational leaders to elevate the performance level of both the team and the entire organization.
• Identify emerging opportunities for the larger organization and influence key stakeholders regarding staffing and prioritization of these new initiatives.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• Specialized expertise in one or more of the following machine learning/deep learning domains: Language, including NLP (Natural Language Processing), ASR (Automatic Speech Recognition), TTS (Text-to-Speech), or Conversational AI.
• Demonstrated experience in developing language algorithms or language infrastructure using C/C++ or Python.

Preferred Qualifications

• Experience with deep learning frameworks, particularly PyTorch.
• A proven track record of strategic planning for multi-year roadmaps, where short-term projects align with a long-term vision.
• Experience with distributed systems or the development of on-device algorithms.
• Involvement in driving large-scale cross-functional or industry-wide engineering efforts.
• Significant experience in mentoring and influencing engineers across different organizations.
• Contributions to AI Publications.

Key skills/competency

• AI
• Machine Learning
• Natural Language Processing (NLP)
• Deep Learning
• Technical Leadership
• System Architecture
• C/C++
• Python
• PyTorch
• Distributed Systems