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Engineering Manager (ML)
Tabby
Remote · worldwide, UTC+4 acceptedSalary not disclosedfull-timeVerified recentlyHimalayas
You will lead a cross-functional team of ML engineers, backend and frontend engineers, QA and a product analyst. The team runs the LLM-based enrichment pipeline (categorisation, attribute extraction, translation), the item representation model and embeddings that power search and recommendations, ML-assisted moderation that is replacing manual review, and the labeling and evaluation platform behind all of it.
Responsibilities
- Own the end-to-end product data pipeline: ingestion from feeds and plugins, ML enrichment, moderation and publication, with clear SLAs for freshness, coverage and quality
- Lead the ML roadmap for catalogue intelligence: category tree and attribute coverage, translation quality, ML-assisted moderation, item embeddings and recommendations
- Lead large cross-team projects and drive them to production
- Contribute to quarterly planning and roadmap definition; define and report OKRs for catalogue quality and personalisation
- Review feature designs and ensure non-functional requirements are met, including ML evaluation, inference cost, latency and data residency
- Build and maintain the evaluation and labeling infrastructure that lets the team measure every model change before it reaches production
- Oversee technical debt management and incident handling across ML and backend services
- Hire, evaluate, and motivate team members; grow ML engineers into owners of business outcomes
- Build cross-team and cross-functional collaboration with Shopping, Offers, Monetisation, catalogue operations and partner support to increase efficiency
- Foster a results- and business-oriented culture
Languages
- Work format
- Remote
- Seniority
- Lead
- Posted
- 17 Sept 2026 (3 days ago)
- Last verified
- 20 Sept 2026
- Apply by
- 16 Nov 2026