Job Information
Meta Engineering Manager (ML), Similarity Detection Match Quality in London, United Kingdom
Summary:
Have you ever wondered how Meta moderates billions of posts, ads, comments, photos, and videos shared every day? How technology empowers our reviewers so they can remove election misinformation, hate speech, or health hoaxes at scale?Media Match Service (MMS) is the system at the heart of automatic moderation and our first line of defense. MMS is one of the 32 Meta Shared Systems, with 70 internal teams using it to automatically handle harmful or illegal content. As a result, MMS accounts for >30% of making Meta products safe and inclusive by finding accurately and quickly all instances and derivatives of a given piece of content (photo, video, audio, text, post, ad) across all Meta apps. See MMS Product Overview and MMS Technical Primer for more details.MMS is built by the Similarity Detection (SD) org in Integrity (XI) using Hack, C++, and Python. SD is based in London, UK, and spans 3 teams with 29 engineers (E4 to E6) and 9 XFN (PM, TPM, SPM, DS, DE, PD). The SD Match Quality (SDMQ) team consists of 7 MLEs (E4-6) and has partial product and data science support. The team owns the algorithms that power MMS. Specifically, we develop and optimise uni- and multi-modal similarity classifiers, embeddings, and indexing algorithms for performance, scale, and wide applicability (see 3-yr MMS Product Strategy.) In our quest, we collaborate extensively with partner teams of Meta scientists and applied researchers (see Similarity Research Group).
Required Skills:
Engineering Manager (ML), Similarity Detection Match Quality Responsibilities:
Be both highly technical and an effective people manager
Lead teams that deliver on multiple projects of increasing dependencies in an ambiguous or high-impact area
Work with your team and XFN partners to define and influence strategy
Be a subject matter expert in an ML domain
Drive roadmap creation and execution
Collaborate with various functions, drive engineering initiatives and have an impact at an organisational level
Participate in technical design
Measure the impact of your team and set clear expectations and goals
Work effectively with XFN partners and stakeholders to set and achieve optimal outcomes
Partner with leadership to influence and drive org design, contribution and prioritization
Minimum Qualifications:
Minimum Qualifications:
Proven track record of supporting technical teams
Strong problem solving skills and background in coding
Demonstrated ability to manage technical teams
Knowledge of growing teams and/or organisations
Experience supporting machine learning teams
BS / MS in Computer Science (In lieu of degree, relevant work experience)
Preferred Qualifications:
Preferred Qualifications:
Experience with developing and operating models at large scale
Understanding of end-user trust and safety or of application integrity
Knowledge of content embeddings or content classification
PhD in Computer Science
Industry: Internet
Meta
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