Research Engineer - Ads Integrity

TikTok
San Jose
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Education: mastersSkills: ["Collaboration","Technical excellence","Cross-functional communication","Research","Engineering"]

Build and deploy generative AI systems for TikTok monetization and content understanding within the Business Integrity team. You’ll research and improve LLMs, multimodal models (text/image/video), and deepfake detection/synthesis, then productionize advances with low-latency, cost-effective AI services. Work on agentic capabilities with reinforcement learning, and optimize large-scale training and inference using techniques like distillation, quantization, and speculative decoding.

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FursaFursa
TikTok
TikTok
1 month ago

Research Engineer - Ads Integrity

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Last checked: 18 hours agoStatus: Live

Job Summary

Build and deploy generative AI systems for TikTok monetization and content understanding within the Business Integrity team. You’ll research and improve LLMs, multimodal models (text/image/video), and deepfake detection/synthesis, then productionize advances with low-latency, cost-effective AI services. Work on agentic capabilities with reinforcement learning, and optimize large-scale training and inference using techniques like distillation, quantization, and speculative decoding.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Research and develop generative AI technologies, including LLMs, multimodal models, and deepfake detection/synthesis, optimizing across pre-training, SFT, RLHF, and AI safety.
  • •Design and deploy AIGC solutions for content understanding and monetization in ads, e-commerce, short video, and live streaming.
  • •Advance LLM-based agents using reinforcement learning for autonomous reasoning, planning, and interactive capabilities.
  • •Improve efficiency of large-scale model training and inference using techniques like distillation, quantization, and speculative decoding.
  • •Collaborate cross-functionally to productionize research breakthroughs with robustness, low latency, and cost-effective AI services.

Key Requirements

  • •MS or PhD in Computer Science, AI, Machine Learning, or a related field (or equivalent industry experience).
  • •Solid experience in deep learning, NLP, and generative models, including LLMs and diffusion models.
  • •Hands-on experience with large-scale model training, RLHF, and multimodal learning.
  • •Proficiency in PyTorch, JAX, or TensorFlow, and familiarity with distributed training frameworks.
  • •Knowledge of AI safety, alignment, and adversarial robustness (preferred).
Experience:Machine learningGenerative AINLPDeep learning
Education:Master's in Computer Science, AI, Machine Learning
Skills:CollaborationTechnical excellenceCross-functional communicationResearchEngineering
Tech Stack:PyTorchJAXTensorFlowLLMsMultimodal modelsDiffusion modelsRLHFDeepfake detectionDeepfake synthesisDistillationQuantizationSpeculative decodingDistributed training frameworks

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
WebsiteLinkedIn