1 day ago

Machine Learning Engineer - Live Content AI (Multimodal)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Work on TikTok Live Streaming Recommendation Core Technology, building and iterating multimodal large models for live visual styles. Train and optimize models using high-quality data curation plus SFT and RL, and improve recommendation modules such as precision ranking, first stage ranking, and recall. Develop fully automated content moderation review architecture, advance content representation at multiple granularities, and deploy efficient few-shot recognition and model distillation for diverse live-stream scenarios.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Apply multimodal learning, computer vision, and NLP to improve TikTok’s global live streaming recommendation performance across business lines.
•Lead training and optimization of multimodal large models for live streaming visual styles, using SFT and RL with high-quality data curation.
•Build and optimize fully automated review architecture for content moderation scenarios, exploring large-model applications for safety and moderation.
•Iterate on understanding and representation of live content at multiple granularities and advance multimodal recommendation technologies for deployment.
•Develop robust content understanding capabilities, including efficient few-shot recognition and model distillation for diverse live-stream needs.

Key Requirements

•Master multimodal understanding technologies with strong knowledge of mainstream large model architectures and training frameworks.
•Demonstrate experience applying multimodal large models to business problems with the ability to track field advancements.
•Have excellent communication skills, strong team spirit, and a proactive sense of ownership.
•Show strong experimental analysis and problem-solving, with the ability to propose and validate ideas through implementation.
•Preferred: 2+ years of experience at large-scale product-oriented IT companies and/or led key projects or published papers in top-tier venues for multimodal learning or large models.

Skills:CommunicationTeamworkOwnershipProactiveProblem-solving

Tech Stack:Multimodal learningComputer visionNatural language processingLarge modelsPrecision rankingFirst stage rankingRecallSFTRLData curationContent moderationFew-shot recognitionModel distillationRecommendationSearch

Company Brief

TikTok

Short-form video platform that lets users create, share, and discover entertainment content through algorithmic recommendations. It also offers advertising and creator tools for brands, influencers, and businesses.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn

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TikTok

1 day ago

Machine Learning Engineer - Live Content AI (Multimodal)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Apply multimodal learning, computer vision, and NLP to improve TikTok’s global live streaming recommendation performance across business lines.
•Lead training and optimization of multimodal large models for live streaming visual styles, using SFT and RL with high-quality data curation.
•Build and optimize fully automated review architecture for content moderation scenarios, exploring large-model applications for safety and moderation.
•Iterate on understanding and representation of live content at multiple granularities and advance multimodal recommendation technologies for deployment.
•Develop robust content understanding capabilities, including efficient few-shot recognition and model distillation for diverse live-stream needs.

Key Requirements

•Master multimodal understanding technologies with strong knowledge of mainstream large model architectures and training frameworks.
•Demonstrate experience applying multimodal large models to business problems with the ability to track field advancements.
•Have excellent communication skills, strong team spirit, and a proactive sense of ownership.
•Show strong experimental analysis and problem-solving, with the ability to propose and validate ideas through implementation.
•Preferred: 2+ years of experience at large-scale product-oriented IT companies and/or led key projects or published papers in top-tier venues for multimodal learning or large models.

Skills:CommunicationTeamworkOwnershipProactiveProblem-solving

Company Brief

TikTok

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Singapore, Singapore

Founded: 2016

Website LinkedIn