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Uber AV Labs

Where autonomy meets reality

Today’s challenges for autonomy aren’t on closed tracks; they’re in the real world. Autonomy is now a data and modeling race—and few companies have more real-world driving data than Uber. With data from billions of trips at our disposal, Uber AV Labs is positioned to turn this complexity into high-quality learning signals that vastly accelerate the advancement of autonomous systems.

Write the next chapter of autonomy

At AV Labs, you’ll work on the learning core of autonomy—building systems across data mining, machine learning, simulation, validation, and infrastructure that transform raw real-world operations into usable training and evaluation pipelines.

“Autonomy is now a game of long-tails. AV Labs will turn these rare critical scenarios into signal sets to close the gap between research and real-world AV performance.”

Ready to accelerate AVs?

Ideal candidates will have experience in the following skill sets: machine learning, applied AI, computer vision and perception systems, data systems, data mining and evaluation, simulation, validation, autonomy tooling, infrastructure, and large-scale distributed systems.

AV Labs 職位空缺

  • 你將成為 AV Labs 的 AI/ML 工程師,參與開發及實現最新的機器學習技術,應用於電腦視覺及感知相關場景。理想的候選人能夠識別問題、提出解決方案並實施修正,同時在我們所有工作中樹立高水平的技術標準。你亦會與其他工程師合作,涵蓋網絡、儲存、運算、大數據及雲端工程等領域,推動 Uber 的使命,協助用戶隨時隨地出行及獲取所需,同時創造自己的回報。

  • 你將成為 AV Labs 的 AI/ML 工程師,參與開發及實現最新的機器學習技術,應用於電腦視覺及感知相關場景。理想的候選人能夠識別問題、提出解決方案並實施修正,同時在我們所有工作中樹立技術卓越的高標準。你亦會與其他工程師協作,涵蓋網絡、儲存、運算、大數據及雲端工程,推動 Uber 的使命——協助人們隨時隨地出行及獲取所需,同時讓他們透過平台獲得回報。

  • 你將成為 AV Labs 的 AI/ML 工程師,參與開發及實現最新的機器學習技術,應用於電腦視覺及感知相關場景。理想的候選人能夠識別問題、提出解決方案並實施修正,同時在我們所有工作中樹立技術卓越的高標準。你亦會與其他工程師協作,涵蓋網絡、儲存、運算、大數據及雲端工程,推動 Uber 的使命——協助人們隨時隨地出行及獲取所需,同時讓他們透過平台獲得回報。

  • You will be an ML engineer in AV Labs conducting autonomous vehicle modeling and research, with an emphasis on developing foundational and applied techniques that shape the future of autonomous driving. The ideal candidate will formulate research problems, design and evaluate novel modeling approaches, and influence the direction of large-scale autonomous systems through strong scientific judgment and execution. You will work cross-functionally with engineers from AV Labs and partner engineering teams which enables Uber’s mission of helping people go anywhere and get anything and earn their way.

  • You will be an ML engineer in AV Labs conducting autonomous vehicle modeling and research, with an emphasis on developing foundational and applied techniques that shape the future of autonomous driving. The ideal candidate will formulate research problems, design and evaluate novel modeling approaches, and influence the direction of large-scale autonomous systems through strong scientific judgment and execution. You will work cross-functionally with engineers from AV Labs and partner engineering teams which enables Uber’s mission of helping people go anywhere and get anything and earn their way.

有興趣申請其他職位?

如果你想加入 Uber AV Labs,但暫時未能申請這些公開職位,請於連結頁面填寫一般意向表格。

Team leadership

Danny Guo

工程及科學部副總裁

Danny 是 Uber 工程團隊的資深領袖,擁有自動化、地圖技術及市場經濟方面的豐富專業知識。他曾建立並擴展多個 Uber 極為重要的業務平台,涵蓋即時系統、機器學習及優化等領域。

Abhinav Gupta

產品管理總監

Abhinav 是一位經驗豐富的產品主管,具備高度自主能力和深厚人工智能專業知識。他從早期機械人研究階段便主導產品願景與定義,直至推動面向消費者的自動駕駛車部署,成功將尖端技術轉化為實際影響。

Min Cai

首席工程師

Min 負責領導 Level 4 自動駕駛車輛和 Uber AI 平台的數據收集工作。他對自動駕駛車輛的熱情,源於早期參與 Uber ATG AI 基礎設施的建設——從 GPU 叢集到分布式訓練系統。在 Uber 超過 11 年的時間裡,Min 亦帶領過多個重要的平台工程項目。