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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 開放職缺

  • 你將成為 AV Labs 的 AI/ML 工程師,參與最新機器學習技術於電腦視覺與感知應用場景的開發與實作。理想的候選人能夠發現問題、提出解決方案並實施修正,同時在我們所做的一切中樹立高標準的技術卓越。你也將與其他領域的工程師合作,包括網路、儲存、運算、大數據及雲端工程,共同實現 Uber 協助人們隨時隨地出行、獲取所需並自主賺取報酬的使命。

  • 你將成為 AV Labs 的 AI/ML 工程師,參與最新機器學習技術於電腦視覺與感知應用案例的開發與實作。理想的候選人能夠發現問題、提出解決方案並執行修正,同時在所有工作中樹立技術卓越的高標準。你也將與其他領域的工程師合作,包括網路、儲存、運算、大數據及雲端工程,共同實現 Uber 協助人們隨時隨地出行、獲取所需並創造收益的使命。

  • 你將成為 AV Labs 的 AI/ML 工程師,參與最新機器學習技術於電腦視覺與感知應用案例的開發與實作。理想的候選人能夠發現問題、提出解決方案並執行修正,同時在所有工作中樹立技術卓越的高標準。你也將與其他領域的工程師合作,包括網路、儲存、運算、大數據及雲端工程,共同實現 Uber 協助人們隨時隨地出行、獲取所需並創造收益的使命。

  • 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.

有興趣嘗試其他職位嗎?

如果你想加入 Uber AV Labs,但目前無法申請這些開放職缺,請填寫連結頁面上的一般意願表單。

Team leadership

Danny Guo

工程與科學部門副總裁

Danny 是一位資深的 Uber 工程領導者,擁有自動化、地圖繪製及市場經濟等領域的深厚專業。他曾打造並擴展多項 Uber 業務關鍵平台,涵蓋即時系統、機器學習與最佳化等交會領域。

Abhinav Gupta

產品管理總監

Abhinav 是一位具有豐富經驗的產品主管,專長於自主技術與具身人工智慧。他曾主導產品願景與策略規劃,從早期的機器人技術研究一路推進到面向消費者的自動駕駛車輛部署,成功將創新技術轉化為具體的社會影響力。

Min Cai

傑出工程師

Min 負責主導等級 4 自動駕駛與 Uber 人工智慧平台的資料蒐集工作。他對自動駕駛的熱情始於早期參與 Uber ATG 的人工智慧基礎建設,涵蓋 GPU 叢集到分散式訓練系統。他加入 Uber 已逾 11 年,也曾領導多項重要的平台工程計畫。