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Research Engineer - Job Opportunity at Meta

London, United Kingdom
Full-time
Senior
Posted: March 16, 2025
Hybrid
USD 150,000 - 220,000 per year based on London market rates for senior AI researchers at major tech companies

Benefits

Competitive compensation package with industry-leading benefits
Access to cutting-edge research facilities and technologies
Opportunity to contribute to open-source projects
Collaboration with world-class researchers
Publication opportunities at top conferences
Professional development and research funding

Key Responsibilities

Drive state-of-the-art research in machine translation and contribute to scientific publications
Design and implement software solutions for advanced AI research projects
Create and evaluate large multilingual datasets for machine learning applications
Collaborate with cross-functional teams across research, engineering, linguistics, and data science
Contribute to Meta's open-source AI frameworks and tools

Requirements

Education

Master's degree in Computer Science, Computer Engineering or relevant technical field

Experience

Industry experience in Natural Language Processing and/or Machine Translation

Required Skills

Python C++ PyTorch TensorFlow Machine Learning Natural Language Processing Machine Translation Large-scale AI model development Software development Experimental design
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Sauge AI Market Intelligence

Industry Trends

The field of multilingual AI and translation is experiencing unprecedented growth, driven by the increasing demand for global communication solutions. Large language models and neural machine translation are becoming critical technologies for tech companies, with significant investment in research and development. The open-source AI community is playing an increasingly important role in advancing the field, with major companies like Meta leading collaborative research efforts.

Role Significance

Typically part of a research team of 5-10 direct collaborators, with broader interaction across global research organizations of 50+ researchers
Senior individual contributor role with significant research autonomy and potential technical leadership responsibilities

Key Projects

Development of next-generation translation models Research and implementation of multilingual AI systems Creation of open-source AI frameworks and tools Large-scale dataset development and evaluation

Success Factors

Strong research background combined with practical engineering skills Ability to balance theoretical research with practical implementation Experience with large-scale AI systems and distributed computing Strong publication record and research communication skills Collaborative mindset for cross-functional team work

Market Demand

Very high demand with significant competition among major tech companies for qualified candidates in AI research and engineering

Important Skills

Critical Skills

Advanced machine learning and NLP expertise Strong software engineering practices Research methodology and experimental design Large-scale system development

Beneficial Skills

Distributed systems knowledge Cloud computing expertise Research paper writing Open-source project management

Unique Aspects

Rare combination of academic research freedom with industry-scale resources and impact
Opportunity to work on cutting-edge multilingual AI systems
Direct contribution to open-source AI community
Access to massive computational resources and unique datasets

Career Growth

2-4 years typical progression timeline to next level, depending on research impact and technical leadership

Potential Next Roles

Principal Research Engineer Research Lead Technical Director AI Research Director

Company Overview

Meta

Meta is a leading technology company investing heavily in AI research and development, particularly through its FAIR organization

Top-tier technology company with significant resources and research impact in the AI field
Major research hub in London with strong connections to European academic institutions and research community
Research-focused environment with emphasis on publication and open-source contributions, balanced with practical product impact
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