Currently tracking 108 active AI roles, down 14% versus the prior 4 weeks. Primary focus: Agent · Research.
| Title | Stage | AI score |
|---|---|---|
| Software Specialist (TL) - AI/ML - Monetisation Meta's Core Ads Quality team is seeking a Software Specialist (TL) to drive technical direction and strategy for AI/ML initiatives within the ads monetization space. This role involves optimizing the trade-off between ad quality and revenue, understanding user behavior, and building robust infrastructure for signals and metrics. The position requires experience in developing ML algorithms and infrastructure, bringing research to production, and planning multi-year roadmaps, with a focus on analytical problem-solving and cross-functional collaboration. | Agent | 7 |
| Software Engineer, Machine Learning Software Engineer, Machine Learning at Meta in London, UK. The role involves building cutting-edge products, improving existing ones, and advancing user experience. Responsibilities include collaborating with cross-functional teams, implementing UIs, analyzing code, architecting scalable systems, and resolving performance issues. Qualifications include experience with data analysis, programming, information retrieval, NLP, AI tools integration, ethical AI practices, and AI skill development like prompt engineering and agent orchestration. |
| Agent |
| 7 |
| Solutions Architect Solutions Architect for Meta's advertising technology partners, focusing on integrating, optimizing, and scaling solutions on Meta's marketing platform. The role involves acting as a technical consultant, guiding partners on Meta's advertising APIs and products, and identifying opportunities for new solutions. It requires a blend of technical expertise and strategic partner engagement to drive business impact. | — | 5 |
| Software Engineer (Leadership) - Machine Learning Seeking a principal engineer to lead teams in building cutting-edge products, manage complex technical problems, and drive technical strategy and roadmap for large cross-company efforts. The role involves integrating AI tools to optimize workflows, implementing responsible AI practices, and staying current with emerging AI technologies. | Ship | 5 |
| Lead Counsel, Labor and Employment, EMEA This role is for a Lead Counsel, Labor and Employment, EMEA, to provide legal counsel on a broad range of employment law matters. The role involves partnering with HR and business leaders, drafting agreements and policies, and supporting litigation. While the role mentions integrating AI tools and developing AI skills, the core function is legal counsel, not AI development. | — | 0 |
| Network Engineer,
Operations & Support (Subsea) This role is for a Subsea Network Operations Engineer responsible for the operational support of Meta's subsea network. The role involves managing network performance, coordinating with vendors, providing technical support, and collaborating with various teams on deployments and documentation. While the job posting mentions integrating AI tools and adhering to AI practices, the core responsibilities and domain are in network operations, not AI/ML development. | — | 0 |
| Network Engineer - Optical Deployment Meta is seeking an Optical Deployment Engineer to deploy and support its large-scale optical network, focusing on Subsea, LH, and Metro deployments. The role involves network implementation, scaling, and collaboration with vendors, requiring hands-on experience with optical network design, installation, and troubleshooting. The candidate should be proactive, a quick learner, and able to propose new ideas. While the core role is network engineering, the posting also mentions integrating AI tools for workflow optimization and adhering to ethical AI practices. | — | 0 |
| Network Engineer, Optical Deployment Meta is seeking an Optical Deployment Engineer to deploy and support its large-scale optical network, focusing on subsea and metro deployments. The role involves creating design packages, implementation plans, collaborating with vendors, troubleshooting, and maintaining network infrastructure. The ideal candidate is proactive, a quick learner, and can integrate AI tools to optimize workflows, adhering to responsible AI practices and demonstrating ongoing AI skill development. | — | 0 |