惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

有赞技术团队
有赞技术团队
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
P
Palo Alto Networks Blog
C
Cisco Blogs
The Hacker News
The Hacker News
T
Threatpost
S
Schneier on Security
K
Kaspersky official blog
Spread Privacy
Spread Privacy
博客园_首页
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
NISL@THU
NISL@THU
量子位
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
Google DeepMind News
Google DeepMind News
Security Latest
Security Latest
博客园 - 司徒正美
云风的 BLOG
云风的 BLOG
博客园 - 叶小钗
H
Hackread – Cybersecurity News, Data Breaches, AI and More
N
News and Events Feed by Topic
爱范儿
爱范儿
P
Proofpoint News Feed
C
CERT Recently Published Vulnerability Notes
Project Zero
Project Zero
Application and Cybersecurity Blog
Application and Cybersecurity Blog
Cisco Talos Blog
Cisco Talos Blog
GbyAI
GbyAI
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
Apple Machine Learning Research
Apple Machine Learning Research
T
Tenable Blog
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
V
Vulnerabilities – Threatpost
Forbes - Security
Forbes - Security
博客园 - 三生石上(FineUI控件)
C
Cyber Attacks, Cyber Crime and Cyber Security
N
News and Events Feed by Topic
V
V2EX
Webroot Blog
Webroot Blog
The Register - Security
The Register - Security
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
阮一峰的网络日志
阮一峰的网络日志
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Blog — PlanetScale
Blog — PlanetScale
M
MIT News - Artificial intelligence
Scott Helme
Scott Helme
Simon Willison's Weblog
Simon Willison's Weblog
L
LangChain Blog
W
WeLiveSecurity
Cloudbric
Cloudbric

ByteByteGo Newsletter

AI Customer Support at Scale: The Travel Industry’s $Billion Bet How LLMs Learn to Be Helpful (RLHF vs DPO) How Microsoft Ships AI Agents at Enterprise Scale EP221: How Docker Works Under the Hood LAST CALL FOR ENROLLMENT: Become an AI Engineer - Cohort 7 Streaming vs Batch: Two Philosophies of Data Processing The Agent Loop: How AI Goes From Answering Questions to Doing Things ChatGPT vs Gemini vs Claude: How They Differ LAST CALL FOR ENROLLMENT: Become an AI Engineer - Cohort 7 Proof of Human: How to Verify a Person Is Real and Unique Multi-Region Architecture: Going Global Without Going Broke How OpenAI Delivers Low-Latency Voice AI for 900M Users Inside Thinking Machines’ Interaction Models How AI Agents Manage Memory and Avoid Forgetfulness EP220: RAG vs Graph RAG vs Agentic RAG Top Anti-Patterns to Avoid in Service Architecture Large Language Models vs Small Language Models An Ex-Meta L8’s Agentic Engineering Setup AI-Native Leaders: The Organizational Playbook for Engineering Transformation at Scale EP219: 12 Open-source LLMs Observability for Beginners: Logs, Metrics, Traces, and Everything Around Them LAST CALL FOR ENROLLMENT: Build with Claude Code - Cohort 2 How Open-Weight Models Changed the AI Landscape A Guide to AI Inference Engineering EP218: The Typical AI Agent Stack, Explained Must- Know Deployment Strategies: From Big-Bang to Progressive Delivery What Salesforce Learned from 20,000 Enterprise Agent Deployments Token Spend Out of Control? The Case for Smarter Routing EP217: Latency vs Throughput vs Bandwidth The Path of a Request: A Tour of Modern Web Architecture How OpenAI Built Its Data Agent A Practical Guide to Becoming an AI-Native Engineer How DoorDash Built a Testing System to Evaluate LLMs Must-Know Failure Modes in Distributed Systems How Airtable Built the Search Layer Behind Their AI Features How Vercel Cut Build Wait Times From 90 Seconds To 5 How CockroachDB Built Vector Indexing at Scale EP216: RAGs vs Agents 🚀 New cohort based course launch: Build with Claude Code A Guide to Async Patterns in API Design How Netflix is Using Multimodal AI to Power Video Search How Snapchat Serves a Billion Predictions Per Second How Grab is Using AI Agents to Boost Team Productivity EP215: The Anatomy of an AI Agent LAST CALL FOR ENROLLMENT: Become an AI Engineer - Cohort 6 A Guide To Event-Driven Architectural Patterns High Performance Rate Limiting at Databricks How Figma Upgraded Data Pipeline from Multi-Day Latency to Real-Time How Pinterest Built a Production MCP Ecosystem EP214: Claude Code vs. OpenClaw: 5 Design Dimensions Become an AI Engineer | Enrollment Ends Soon Container Design Patterns for Distributed Systems How Instacart Built a Search for Billions of Products Connecting LLMs to the Real World: Tool Use, Function Calling, and MCP EP213: MCP vs Skills, Clearly Explained A Beginner’s Guide to Kubernetes The Tech Stack Powering Wise How Stripe Detects Fraudulent Transactions Within 100 ms How Amazon Uses LLMs to Recommend Products EP212: Data Warehouse vs Data Lake vs Data Mesh B-Trees vs LSM Trees: Comparison and Trade-Offs How DoorDash Launches a New Country in One Week The Security Architecture of GitHub Agentic Workflow EP211: How the JVM Works A Guide to Relational Database Design Figma Design to Code, Code to Design: Clearly Explained How LinkedIn Feed Uses LLMs to Serve 1.3 Billion Users EP210: Monolithic vs Microservices vs Serverless Must-Know Cross-Cutting Concerns in API Development How Spotify Ships to 675 Million Users Every Week Without Breaking Things Nextdoor’s Database Evolution: A Scaling Ladder A Guide to Context Engineering for LLMs EP209: 12 Claude Code Features Every Engineer Should Know Our New Book on Behavioral Interviews Is Now Available on Amazon Database Performance Strategies and Their Hidden Costs How Datadog Redefined Data Replication How Meta Turned Debugging Into a Product How Roblox Uses AI to Translate 16 Languages in 100 Milliseconds EP208: Load Balancer vs API Gateway LAST CALL FOR ENROLLMENT: Become an AI Engineer - Cohort 5 How to Implement API Security How Anthropic’s Claude Thinks How Netflix Live Streams to 100 Million Devices in 60 Seconds How Agentic RAG Works? Last Chance to Enroll | Become an AI Engineer | Cohort-Based Course EP207: Top 12 GitHub AI Repositories Event Sourcing Explained: Benefits and Use Cases How OpenAI Codex Works
Love Teaching? ByteByteGo Is Hiring Part-Time AI & Engineering Instructors
ByteByteGo · 2026-06-10 · via ByteByteGo Newsletter

We’re looking for multiple part-time instructors to teach AI and engineering cohort-based live courses.

This is a great fit if you love teaching, enjoy sharing what you know, and want a meaningful side thing alongside your main work.

The role has some upfront time investment to get familiar with the curriculum and prepare, but after that, it’s designed to be a limited commitment (2-5 hours bi-weekly). It offers stable income, good upside, and a chance to share your knowledge while working with ambitious learners.

We’re especially looking for instructors in:

- Building Production-Grade AI Systems

- System Design

- AI Security & LLM Red-Teaming

- AI Evals Intensive

- AI Cost Optimization

- Agentic AI Coding

- Build with Codex

- AI for Engineering Leaders

- AI Automation

- Others, please suggest

Ideal instructors are hands-on, clear communicators, and excited to teach.

If this sounds like you, email us at jobs@bytebytego.com with your background, the topics you’d be excited to teach, and any teaching, writing, or speaking samples.

Got someone in mind for any of these topics? We’d appreciate the intro. Thank you.

Discussion about this post

Ready for more?