ByteDance

2 days ago

Tech Lead / Principal Engineer, Creator Agent Algorithm Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 33 minutes agoStatus: Live

Job Summary

Own the algorithm infrastructure roadmap for Creator Agent in a team building large-scale recommendation, matching, and ranking for creator-commerce platforms. Lead architecture and delivery for agent orchestration, agentic search, hierarchical memory, and training/evaluation infrastructure for RL and SFT. Continuously evaluate frontier agent optimization directions (test-time optimization, tool use, multi-agent collaboration, prompt/workflow optimization, distillation, and reward modeling) and translate business needs into scalable infrastructure decisions.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key Responsibilities

•Lead architectural development of core Creator Agent algorithm capabilities, including agent orchestration, agentic search, hierarchical memory, and algorithm tuning infrastructure for RL/SFT and frontier optimization.
•Track and incorporate frontier agent optimization directions such as test-time/inference-time optimization, tool-use optimization, multi-agent collaboration, prompt/workflow optimization, distillation, and agent evaluation/reward modeling.
•Decide which optimization directions are worth investing in based on team and business realities, and translate them into concrete team capabilities.
•Monitor and adapt latest agent architectures from OpenAI, Anthropic, and others to fit the creator business needs.
•Partner closely with the algorithm team to ensure algorithm infrastructure accelerates innovation, and translate deep understanding of creators as a B2B user group into infrastructure decisions.

Key Requirements

•Hands-on experience building production-grade, domain-customized agents using LangGraph (or equivalent frameworks).
•Deep understanding of agent technical stack and frontier agent practices (e.g., OpenAI SDK and Claude Code), with strong judgment on capability boundaries and challenges.
•Systematic understanding of agent optimization (Agent RL, hierarchical memory/Memory RL, SFT) plus hands-on familiarity with at least 2–3 frontier directions such as test-time optimization, tool-use optimization, multi-agent collaboration, prompt/workflow optimization, distillation, or evaluation.
•Familiarity with agentic search design and implementation, understanding the shift from traditional retrieval to agent-driven retrieval.
•Deep understanding of B2B/ToB businesses and the ability to reason about algorithm infrastructure from workflows, ROI, explainability, and controllability perspectives.

Skills:Cross-team collaborationTechnical judgmentForward-looking perspectiveSystematic problem solving

Tech Stack:LangGraphOpenAI SDKClaude CodeDSPyTextGradLLM-as-JudgePRMsRLRLHFDPOGRPOSFTAgent orchestration frameworkAgentic searchTree searchProcess reward model–guided reasoningTool-use SFTTool-use trajectory RL

Company Brief

ByteDance

Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

ByteDance

2 days ago

Tech Lead / Principal Engineer, Creator Agent Algorithm Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 33 minutes agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key Responsibilities

•Lead architectural development of core Creator Agent algorithm capabilities, including agent orchestration, agentic search, hierarchical memory, and algorithm tuning infrastructure for RL/SFT and frontier optimization.
•Track and incorporate frontier agent optimization directions such as test-time/inference-time optimization, tool-use optimization, multi-agent collaboration, prompt/workflow optimization, distillation, and agent evaluation/reward modeling.
•Decide which optimization directions are worth investing in based on team and business realities, and translate them into concrete team capabilities.
•Monitor and adapt latest agent architectures from OpenAI, Anthropic, and others to fit the creator business needs.
•Partner closely with the algorithm team to ensure algorithm infrastructure accelerates innovation, and translate deep understanding of creators as a B2B user group into infrastructure decisions.

Key Requirements

•Hands-on experience building production-grade, domain-customized agents using LangGraph (or equivalent frameworks).
•Deep understanding of agent technical stack and frontier agent practices (e.g., OpenAI SDK and Claude Code), with strong judgment on capability boundaries and challenges.
•Systematic understanding of agent optimization (Agent RL, hierarchical memory/Memory RL, SFT) plus hands-on familiarity with at least 2–3 frontier directions such as test-time optimization, tool-use optimization, multi-agent collaboration, prompt/workflow optimization, distillation, or evaluation.
•Familiarity with agentic search design and implementation, understanding the shift from traditional retrieval to agent-driven retrieval.
•Deep understanding of B2B/ToB businesses and the ability to reason about algorithm infrastructure from workflows, ROI, explainability, and controllability perspectives.

Skills:Cross-team collaborationTechnical judgmentForward-looking perspectiveSystematic problem solving

Company Brief

ByteDance

Industry: Digital Media

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Headquarters: Beijing, China

Founded: 2012

Website LinkedIn