Meta

About the Company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

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For a full listing of our jobs, visit https://www.metacareers.com

Listed Jobs

Company Name

Meta

Job Title

Software Engineer, Machine Learning

Job Description

**Job Title:** Software Engineer, Machine Learning **Role Summary:** Develop and deploy machine learning components for large-scale applications, collaborating with cross-functional teams to deliver high-quality, scalable solutions. Lead technical initiatives, mentor peers, and continuously improve product performance and reliability. **Expectations:** - Deliver production‑ready ML features within iterative cycles. - Mentor junior engineers and contribute to team knowledge sharing. - Own end‑to‑end responsibilities for ML pipelines and infrastructure. **Key Responsibilities:** - Design, implement, and optimize ML models and data pipelines. - Build custom interfaces and utilities using modern programming languages. - Conduct code reviews and provide constructive feedback on quality, efficiency, and performance. - Diagnose and resolve scalability, performance, and technical debt issues. - Lead major initiatives and set technical direction for teams. - Collaborate with product, design, operations, and infrastructure stakeholders. **Required Skills:** - Proficiency in a relevant programming language (Python, Java, C++, etc.). - Experience with ML frameworks (TensorFlow, PyTorch, or Scikit‑learn). - Strong data analysis skills for problem diagnosis and solution design. - Knowledge of data structures, algorithms, and graph theory. - Ability to write clean, maintainable, and efficient code. - Demonstrated leadership and mentorship in technical projects. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Computer Engineering, or related technical field (or equivalent practical experience). **Preferred Qualifications:** - Master’s or Ph.D. in Computer Science or a related technical discipline. - Expertise in NLP techniques (text preprocessing, tokenization, sentiment analysis). - Familiarity with information retrieval concepts (indexing, querying, ranking). - Experience in scaling ML systems for large user bases.

London, United kingdom

On site

25-12-2025

Company Name

Meta

Job Title

Head of EMEA Marketing Insights

Job Description

Job Title: Head of EMEA Marketing Insights Role Summary: Lead the EMEA Marketing Insights function, partnering with business, consumer, and creator marketing teams to design, execute, and deliver high‑impact quantitative and qualitative research. Translate insights into actionable strategies that shape campaigns, product launches, and regional marketing directions while ensuring alignment with global brand objectives. Expectations: • Own the insights agenda for the EMEA region and provide global‑local context for Meta’s marketing strategies. • Deliver clear, actionable recommendations that drive business outcomes and maximize efficiency and customer value. • Navigate ambiguity, rapidly switch contexts, and influence cross‑functional stakeholders across multiple markets. Key Responsibilities: • Identify market opportunities and customer insights that inform marketing strategy. • Design and oversee comprehensive research programs, combining best‑in‑class qualitative and quantitative methods. • Translate insights into strategic messaging, campaign concepts, and product positioning for EMEA audiences. • Lead, coach, and develop a team of marketing researchers, setting performance standards and fostering a high‑impact culture. • Partner with regional and global stakeholders to integrate insights into planning, execution, measurement, and optimization cycles. • Manage project budgets, timelines, and stakeholder expectations. Required Skills: • Strong leadership and team‑management abilities (2+ years leading research teams). • Deep expertise in qualitative and quantitative research methodologies and their application in marketing contexts. • Proven track record of using insights to shape high‑impact marketing campaigns and product launches. • Strategic thinking, problem‑solving, and ability to navigate ambiguity. • Excellent communication skills, able to distill complex data into clear, compelling narratives. • Cross‑functional collaboration with business, consumer, and creator marketing. • Experience working within EMEA markets and understanding of global‑local dynamics. Required Education & Certifications: • Bachelor’s degree required; MA or PhD preferred. • 10+ years of research experience, 2+ years of research leadership, and 2+ years of EMEA‑focused research experience.

London, United kingdom

On site

Senior

26-12-2025

Company Name

Meta

Job Title

Data Engineer, Product Analytics

Job Description

Job Title: Data Engineer, Product Analytics Role Summary: Lead the design, construction, and maintenance of large‑scale data infrastructure that powers product analytics across a global user base. Partner with engineering, product, and data science teams to create scalable data models, optimize ETL pipelines, and deliver high‑quality data artifacts that enable data‑driven product decisions. Expectations: - Own end‑to‑end data workflows for multiple high‑impact projects. - Drive continuous improvement of logging, data quality, security, and governance. - Mentor junior engineers and promote best practices. - Influence product strategy through clear, actionable insights. Key Responsibilities: - Design and maintain data architecture, evaluating trade‐offs in cost, performance, and complexity. - Build and deploy robust ETL pipelines using optimal patterns and frameworks. - Develop and evolve sophisticated data models and visualizations to support cross‑product use cases. - Define and enforce Service Level Agreements, security models, and privacy safeguards. - Optimize existing production processes, improving code efficiency with advanced algorithms. - Enhance logging frameworks and collaborate with data infrastructure teams to triage and resolve issues. - Communicate complex data insights in a clear, persuasive manner to non‑technical stakeholders. Required Skills: - 7+ years of experience in data‑centric roles (engineer, analyst, scientist). - Proficiency in SQL and data modeling techniques. - Experience with ETL tools and frameworks. - Strong programming skills in at least one language (Python, C#, Scala, or similar). - Knowledge of data security, privacy requirements, and governance best practices. - Ability to design scalable, efficient data pipelines and architecture. - Excellent communication and stakeholder influence skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field (or equivalent experience). - Master’s or Ph.D. in a STEM discipline preferred. - Certifications in data engineering, cloud platforms, or related areas are a plus.

San francisco, United states

On site

Senior

31-12-2025

Company Name

Meta

Job Title

Software Engineer, Product

Job Description

Job Title: Software Engineer, Product Role Summary: Design, develop, and maintain scalable, high‑performance product features across mobile and web platforms. Drive technical direction, mentor teammates, and optimize code quality and performance. Expectations: Deliver clean, efficient code that meets performance and quality standards; actively participate in code reviews, technical discussions, and mentorship; lead or co‑lead significant product initiatives; reduce technical debt and enhance system scalability. Key Responsibilities: - Collaborate with product, design, operations, and infrastructure teams to build innovative application experiences. - Implement custom user interfaces using modern programming techniques and technologies. - Analyze, optimize, and review code for quality, efficiency, and performance; provide constructive peer feedback. - Set direction, goals, and technical guidance for teams; mentor peers and onboard new members. - Architect efficient, scalable systems that power complex applications. - Identify and resolve performance and scalability issues; spearhead large efforts to reduce technical debt. - Own end‑to‑end components, features, or systems. - Work across multiple coding languages and technologies. Required Skills: - Proficiency in at least one relevant programming language (C, C++, Java, Swift, Kotlin, Python, JavaScript, or Hack). - Experience with large‑scale application architecture and performance tuning. - Strong code review practices and commitment to quality (testing, rollout, monitoring). - Ability to analyze data and articulate technical solutions. - Excellent collaboration and communication skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.

London, United kingdom

On site

05-01-2026