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ML & AI Engineering

1...def main():
2.......message = """
3.......Welcome to ML & AI Engineering at Uber!
4
5.......Your skills have the power to shape the future of Uber.
6.......Now we want to see you in action.
7........
8......To make sure you're (pyth)on it, please read everything.
9......Reach out to your Recruiter if you have any questions.
10......
11...... """
12......print(message)
13
14...if __ name __ == " __ main __":
15......main()

我們的招聘原則

We’re on the lookout for engineers who collaborate and push boundaries. If you’re the kind of person who loves untangling tough problems, building systems that scale, and turning ideas into reality, then buckle up — you’re in for the ride of a lifetime.

Youtube

我們的招聘程序

  • You’ll kick things off by meeting with a member of the Talent Acquisition team to talk about the role and your experience. This is a strategic conversation about how your background and technical skillset align with the position.

    How to prepare:

    • Craft your elevator pitch: Be ready to answer the classic "Tell me about yourself" question. Provide a clear, concise overview of your career, key technical projects, and top accomplishments.
    • Know why Uber: Be prepared to explain why you’re excited about this role at Uber and how it aligns with your goals and values.
    • Understand the role and context: Research the role you’re applying for, the market it supports, and the specific Uber business line. Understand how your skills align with the team’s needs.
    • Know the technical stuff: Get ready to tackle technical questions on Big-O notation, CS fundamentals, and domain-specific topics.
    • Prepare thoughtful questions: Have insightful questions ready to ask at the end of the interview, showing your genuine interest in the role and the company.

    During your interview:

    • Highlight key technical projects: Share examples of impactful projects you’ve worked on, focusing on technical challenges, your approach, and measurable outcomes.
    • Demonstrate your understanding of core concepts: Be ready to talk about key engineering topics like scalability, clean architecture, or dependency injection, depending on the role’s focus.
    • Ask clarifying questions: If you’re unsure about a question or expectation, don’t hesitate to ask. We appreciate candidates who seek clarity.
  • This pair programming interview focuses on problem-solving using HackerRank, covering both Coding and Design & Architecture (D&A). Our goal is to evaluate your coding ability and better understand the complexity and scope of your prior projects using a D&A lens—not to conduct an exhaustive review of your technical depth or design expertise. This serves as an initial evaluation to determine if you qualify for the business interview rounds at the appropriate level.

    Interview Structure:

    • ~45 minutes: Coding
    • ~15 minutes: Design & Architecture
    Coding language to prepare:

    • Your choice. Choose your language wisely and ensure you're highly proficient in it.
    How to prepare:
    • Practice coding: Refresh your coding skills, especially if you’re rusty or unfamiliar with paired coding. Solve a few problems with varying difficulty using platforms like LeetCode. Continuously test your code. Focus on:
      • Common data structures and algorithms (e.g., hash tables, trees, stacks).
      • Data structures, particularly the ones used most often (e.g., arrays, stacks (or queues), hash tables, trees, graphs, and heaps).
      • Runtime analysis (Big-O notation) and optimization techniques.
      • Problem-solving approaches: Practice solving scenarios common in large-scale tech companies.
    • Refresh yourself on Design & Architecture: Be prepared to discuss a project that highlights the complexity and scope of your role, including architectural components and design decision-making. Be ready to discuss trade-offs: Why was one technology chosen over another? What was the reasoning behind key decisions?
    During your interview:
    • Provide a solution on HackerRank: Be ready to write and explain your solution in a live coding environment.
    • Ask clarifying questions: Analyze the problem and make sure that you fully understand it before jumping in. It’s OK to ask clarifying questions during the interview to make sure you understand the exact problem you are trying to solve. Also, breaking down the problem into smaller pieces can be helpful.
    • Account for edge cases: Think through and address edge cases to show thorough problem analysis. One technique to write a better solution is to consider what you would catch if you were code reviewing your code.
    • Communicate your thought process: Walk the interviewer through your reasoning as you solve the problem. Before implementing, discuss your proposed solution to ensure alignment.
    • Keep things simple: If you find the solution getting excessively complex, step back and ask if there’s a simpler way to solve it. It may also be helpful to write everything out so you can see insights and bugs faster and make fewer mistakes.
    • Test and debug: Continuously test your code and handle exceptions to confirm your solution works.
    • Write clear, readable code: Use meaningful variable names and keep formatting consistent for easy understanding.
    • Engage with follow-up questions: Be prepared to dive deeper into your solution and discuss alternative approaches or improvements.
    Other:
    • Reflect on impact: Think about the scope and results of your past roles and how they relate to solving problems at Uber.
    • Review the job description: Identify relevant experiences from your background and prepare to showcase them during the interview.
    • Prepare questions: Consider any role-specific or team-related questions to ask your interviewer.
    Practice Questions:

  • This interview evaluates your problem-solving abilities through coding exercises that demonstrate the appropriate use of algorithms and data structures, as well as idiomatic choices in your programming language. The problems are generic and not tied to a specific technical domain. You are expected to write testable code and clearly identify what you would test.

    Coding language to prepare:

    • Your choice. Choose your language wisely and ensure you're highly proficient in it.

    How to prepare:

    • Reflect on impact: Think about the scope and results of your past roles and how they relate to solving problems at Uber.
    • Review the job description: Identify relevant experiences from your background and prepare to showcase them during the interview.
    • Prepare questions: Consider any role-specific or team-related questions to ask your interviewer.
    • Practice coding: Refresh your coding skills, especially if you’re rusty or unfamiliar with paired coding. Solve a few problems with varying difficulty using platforms like LeetCode.
    • Strengthen your knowledge of key concepts: Review data structures like vectors, lists, maps/hash tables, trees, linked lists, stacks, queues, heaps, and graphs (e.g., DFS, BFS).
    • Study algorithms: Research algorithms such as sorting, breadth-first search, depth-first search, binary search, and tree operations (insertion, deletion, and search).
    • Understand Big-O notation: Familiarize yourself with how Big-O is used to calculate time and space complexity.
    • Know your data structures: Familiarize yourself with the complexities for inserting, removing, and fetching elements in the data structures.
    • Practice problem-solving: Write and debug code regularly to become proficient. Prepare test scenarios, especially for exception cases.
    • Master your programming language: Know the syntax, conventions, and idiomatic usage of your chosen language. Focus on building fluency, as proficiency matters more than the specific language you choose.

    During the interview:

    • Provide a solution on HackerRank: Be ready to write and explain your solution in a live coding environment.
    • Account for edge cases: Think through and address edge cases to show thorough problem analysis. One technique to write a better solution is to consider what you would catch if you were reviewing your code.
    • Communicate your thought process: Walk the interviewer through your reasoning as you solve the problem. Before implementing, discuss your proposed solution to ensure alignment.
    • Write clear, readable code: Use meaningful variable names and keep formatting consistent for easy understanding.
    • Keep things simple: If you find the solution getting excessively complex, step back and ask if there’s a simpler way to solve it. It may also be helpful to write everything out so you can see insights and bugs faster and make fewer mistakes.
    • Test and debug: Continuously test your code and handle exceptions to confirm your solution works.
    • Engage with follow-up questions: Be prepared to dive deeper into your solution and discuss alternative approaches or improvements.

    Practice questions:

  • This interview assesses your technical depth and expertise in your chosen area of specialization. You will write code to solve a problem similar to those you would encounter in the role. There are several types of questions, one of which is a modification to a project we provided, or implementing something from scratch.

    Coding language to prepare:

    • Any of your choice, but prioritize one that ensures an optimal solution delivered in the most efficient and timely manner.

    How to prepare:

    • Strengthen your knowledge of ML theory: Review foundational concepts such as overfitting, regularization, and other key algorithm details to solidify your understanding.
    • Familiarize yourself with algorithms and problem-solving techniques: Ensure you can apply algorithms effectively and understand key principles for tackling coding challenges.
    • Master key concepts: Build proficiency in your chosen programming language, including syntax, conventions, and idiomatic usage. Fluency matters more than the specific language.
    • Practice debugging: Develop comfort with identifying and addressing bugs during problem-solving. Interviewers value candidates who can spot and fix errors effectively.
    During your interview:
    • Clarify the problem: Ask questions to fully understand the problem's requirements before starting to code.
    • Communicate effectively: Explain your choices, decisions, and overall thought process as you work through the problem to help the interviewer follow your reasoning.
    • Write clear, readable code: Use meaningful variable names, maintain consistent formatting, and focus on producing understandable and well-structured code.
    • Test and debug: Continuously test your solution and handle exceptions to confirm it works correctly. Demonstrating strong debugging skills is a plus.
    • Stay solution-oriented: Run your solution step-by-step, refining it as needed to meet the problem's requirements efficiently and effectively.
    Practice Questions:

  • This interview evaluates your ability to build and sustain trusting, collaborative, and strategic relationships within and across teams or organizations, while working with integrity.

    Coding Language to Prepare:

    • N/A

    Scope & Impact Expectation:

    • Delivers one or more features from inception to production with minimal oversight.

    How to prepare:

    • Reflect on past projects: Identify key examples you want to share. Use the STAR format (Situation-Task-Action-Results) to structure your answers. Avoid hypothetical situations or lacking depth in your responses.

    Be ready to discuss topics like:

    • Your ability to work with determination and urgency.
    • Collaboration within and across teams.
    • Handling conflicts and leading projects end-to-end.
    • Stakeholder management (e.g., working with Product, Data, or Design).
    • Task prioritization and building trusting relationships.
    • Examples of mentoring others and providing or receiving feedback.

  • 招聘人員會與面試小組討論，根據你在面試中的表現、職位的能力要求及公司的價值觀進行表現評核。團隊共同作出決定後，招聘人員會通知你最終結果。祝你一切順利！

Each stage in our hiring process is a decision point. As you progress, the team will assess if it makes sense to move you forward based on the role and your experience. If it’s not the right fit, they’ll let you know ASAP. No matter what, we appreciate your time and effort!

Keeping your journey smooth

We’re trip obsessed and want to make sure your candidate journey is a smooth, 5-star experience. To make sure there’s no bumps in the road, please keep your scheduled interview time. Rescheduling is limited, and alternative slots may not be guaranteed.

Think of your interview like an Uber trip — timing matters. Just like a last-minute cancellation can disrupt a ride, rescheduling impacts multiple schedules. Keeping your original time helps ensure a seamless experience for everyone.

評估標準

工作相關能力

We use competencies to make evidence-based hiring decisions and assess specific skills and behaviors. We ask job-relevant questions about competencies to understand how you work. Competencies may be used at different stages of your interview process.

Your Recruiter will share the competencies you will be assessed for at the right time for the role you are applying for, with examples below. As levels progress, expectations grow in scope, complexity, and impact, requiring engineers to demonstrate higher proficiency, leadership, and strategic influence. Each advancement builds on prior competencies, fostering deeper technical expertise, collaboration, and alignment with Uber’s cultural values.

    • Fosters trusting, collaborative, and strategic relationships across teams and organizations while acting with integrity.
    • Demonstrates respect for others, values diverse perspectives, and promotes cooperation at all levels, leading by example.
    • As a leader, shows conviction and encourages healthy debates, fully committing to decisions once they are made.
    • Exemplifies Uber's cultural values in every interaction and decision.
    • Tackles complex business challenges—often without textbook solutions—by crafting simple, elegant designs and architectures.
    • Applies software design principles, external best practices, and a deep understanding of existing solution limitations to create architectures that integrate seamlessly with current systems and align with cross-functional needs and goals.
    • Anticipates future design requirements and evaluates trade-offs to build scalable, adaptable systems that address both current demands and future opportunities.
    • Drives efficiency and agility within Uber’s technology, teams, and processes by leveraging and extending existing systems, services, and solutions whenever possible.
    • Develops high-quality, reliable, efficient, and testable code while conducting thorough code reviews and creating comprehensive tests and quality documentation.
    • Leverages strong knowledge of data structures, algorithms, programming languages, frameworks, and core software engineering principles.
    • Demonstrates expertise in the full software development life cycle, including requirements gathering, design, implementation, experimentation, testing, debugging, deployment, and monitoring.
    • Identifies, reports, and resolves technical challenges using industry standards and best practices.

Success attributes

At Uber, success attributes reflect the key skills and behaviors that drive impact in our engineering teams at every level. These attributes guide how we assess candidates, focusing on collaboration, problem-solving, adaptability, and resilience. Prepare examples from your experience that demonstrate these qualities and show how you approach challenges and deliver results.

  • Demonstrates resilience and flexibility when encountering changes or challenges. Adjusts to shifting priorities, adapts approaches as needed, and remains effective under evolving circumstances. Continuously learns from new experiences and incorporates those insights into future work.

  • Demonstrates initiative and a proactive approach to problem-solving and decision-making. Exhibits a bias towards action, prioritizing timely and effective solutions. Continuously seeks ways to improve processes, contribute to team goals, and address challenges without waiting for direction.

  • Builds and sustains trusting, collaborative, and strategic relationships within and across teams. Treats others with respect, encourages cooperation, and embraces diverse perspectives. Leads by example, fostering an environment where healthy debate is encouraged, and alignment on decisions is fully embraced once made.

  • Exhibits an entrepreneurial mindset, showing creativity, resourcefulness, and ownership in identifying and solving problems. Seeks innovative solutions, takes calculated risks when appropriate, and demonstrates resilience in navigating challenges. Maintains a results-driven focus, aligning work with broader business goals.

  • Demonstrates persistence and resilience in pursuing goals, maintaining a high standard of quality and thoroughness in all work. Shows dedication to completing tasks, even in the face of obstacles, and maintains a strong sense of responsibility for outcomes.

  • Builds trusting, respectful, and collaborative relationships within and across teams. Exhibits strong interpersonal skills, positively influences others, and creates an environment that encourages cooperation, support, and mutual respect. Fosters an inclusive and person-oriented culture through empathy, integrity, and effective communication.

  • Exhibits an inquisitive and thoughtful mindset, seeking to understand the "why" behind tasks and exploring new ideas or methods. Asks insightful questions, continuously seeks knowledge, and applies thoughtful analysis to improve work quality and problem-solving capabilities.

Uber 的價值觀

我們的價值觀是指引我們行事與決策的方針。在評估求職者與我們的價值觀是否一致時，招聘團隊會使用以下問題作為指引：求職者有否展現 Uber 價值觀，足以讓其在 Uber 順利發展？請務必了解 Uber 的價值觀並準備相關例子，以便分享你曾經如何應用相同價值觀作出決定。

有關價值觀的提問例子：

「請分享一個項目，說說這個項目如何改變你的…」
(價值觀：重視每個行程)

「請分享你如何透過跨團隊合作…」
(價值觀：One Uber)

貼士

Virtual interviews

A few days before download: Zoom and test the link provided in your invite. Contact your Talent Coordinator if you encounter technical issues.

On the day of your interview: Find a quiet, well-lit area with no distractions. Test your camera, microphone, and internet connection. Use headphones for better audio quality.

Right before the interview: Silence your phone, plug in your device, and grab water. Join the call a few minutes early.

Role-specific tips

Be pitch ready: Have your elevator pitch ready to answer the classic: "tell me about yourself". Give an overview of your career and top accomplishments.

Understand the role: Understand the role you're applying for and business line (e.g., Uber Eats, Uber for Business). Be ready to explain why you’re passionate about the role and working at Uber beyond brand recognition.

Prepare examples: Understand the role’s competencies mentioned above and reflect on past projects and experiences that showcase your expertise in these areas. Prepare at least 1–2 examples of past projects for each competency.

  • Use the STAR Method

    Structure your answers using the STAR method—describe the Situation, explain the Task at hand, outline the Actions you took, and highlight the Results achieved.

    STAR 敘事法

  • Think real world

    面試官會嘗試評估你如何處理工作中可能面對的實際情況。溝通時應注意保持條理清晰，仔細思考如何應對潛在挑戰。

  • Explain how you arrived at your answer

    Your interviewer may challenge your assumptions, so be prepared to back up your answers with relevant examples from prior experiences. Be honest and forthcoming about what you do and do not have experience with.

  • Challenge, clarify, and collaborate

    If at any point in the interview you feel like asking for clarification, or think something doesn’t make sense, feel free to challenge the interviewer.

    Also, don’t be afraid to admit to mistakes. What we’re looking for most is someone that can collaborate with other engineers to solve bigger problems.

    We are not evaluating your knowledge of specific programming languages, but rather your ability to solve problems with the tools in your toolkit. Use tools that you are most comfortable with.

  • Prepare questions in advance

    Your interviews are your time to get to know Uber, your potential future colleagues, and more about the role you are being considered for. Make sure you have prepared some questions to understand if the role is the right fit for you.

  • One interview won’t define you—keep going!

    If you feel like you are not succeeding in one interview, don’t be afraid to ask questions, pause, and restart.

    Go into your next interview with full confidence! We look at all of your skills across the board, not just one interview.

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常見問題

  • Your Recruiter can help you understand the target level for your interview. Different levels may have distinct interview processes. The Business Phone Screen determines the initial level you’re moving forward with, but the final level is decided after the interview panel's evaluation and debrief. Releveling may still occur at that stage based on performance and feedback.

  • Interviews are typically 60 minutes each, but your Recruiter will confirm the exact duration. While the format is generally consistent, there are nuances by domain, and your Recruiter will provide specific details about what to expect.

  • 你可以使用人工智能工具來準備面試，例如練習問答、研究職位內容或構思回應。然而，面試期間不可使用人工智能工具 (例如 ChatGPT、自動撰寫回覆的工具、編寫程式的自動完成工具等)。我們希望當場評估你的技能、解決問題能力和思考邏輯。如果面試內容涉及技術或案例形式的解決問題測試，請準備好在沒有人工智能協助之下合理解釋及論證你的答案。

  • Your Recruiter is working diligently to keep things moving. Typically, you can expect your Recruiter to follow up within 2-3 business days after each interview. However, timelines can shift, so if you haven’t heard back, don’t hesitate to reach out!

  • 面試結束幾日後，你會收到一份意見調查，邀請你分享對面試過程的想法及意見。如果沒有收到相關資料，請隨時聯絡招聘人員。

    • Impactful Work: Uber has transformed the way the world moves and continues to shape the future of mobility. By joining us, you'll contribute to meaningful projects that make an impact on your team, your domain, and the world. Your work will drive innovation and opportunity on a global scale.
    • Uber Scale: With 170+ million monthly users, operations in 10,000+ cities, and 30+ million trips daily, Uber’s scale is unmatched. This global reach ensures your work touches millions of lives and plays a crucial role in a system of unparalleled complexity.
    • Growth & Learning Opportunities: Our engineering leaders are committed to fostering a culture of growth and learning. You'll have access to opportunities, challenging projects, and supportive mentorship that will enable you to expand your skills and advance your career.
    • Complex Technical Challenges: Uber’s products operate at an extraordinary scale, presenting unique and complex technical challenges. Every day, you’ll tackle tough problems and innovate alongside a team that values collaboration and supports your growth.

  • Our benefits support the whole you when you need it most. Here, we provide a range of benefits that are inclusive, sustainable and easily accessible to all employees. From the usual, like health care and parental leave, to those that go above and beyond such as wellness, fertility and monthly Uber credits.

    Learn more

  • Most employees spend at three days per week in the office, with Tuesday, Wednesday, and Thursday as anchor days across the company where all non-remote employees work in-person.

在 Uber 工作

  • Uber Engineering Blog

    Read stories and insights about the technology behind Uber Engineering.

    Explore the blog

  • 我們的價值觀

    我們的價值觀不止是我們的信念，更是我們推動世界前行的動力。

    探索 Uber 價值觀

  • 時刻伴你左右

    無論是身心健康、生育補助，還是每月 Uber 點數，公司福利可在關鍵時刻為你提供妥善支援。

    了解我們的員工福利

  • 每個人都是獨一無二

    我們的包容文化鼓勵每位員工發揮所長並展現自我，在機構內找到歸屬感。

    Learn more

  • 員工資源群組

    員工資源小組 (ERG) 為員工提供凝聚社群、發揮影響力及發展領導才能的機會。

    Learn more

  • 我們的工作地點

    大部分員工有至少一半時間會在公司辦公。逢星期二和星期四是固定的辦公室工作日，所有非遙距工作的員工都會前往公司辦公。員工每年亦有多達 4 週的時間可選擇遙距辦公。

    Learn more

  • 推動世界向前邁進

    了解來自世界各地的殘奧選手、退伍軍人及員工，如何在工作及其他領域協助 Uber 推動世界的發展。

    工作機會網誌
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關於 Uber

  • 我們的使命

    我們致力革新世界向前邁進的方式。

    Learn more

  • 統計數字

    我們履行了平台的承諾，日後亦會不斷推進。

    概覽

  • 我們的獨特之處

    隨著規模日漸擴大，平台展現的力量亦越來越龐大。

    我們的獨特之處

  • 我們的服務及業務

    改變大眾預約行程和出行的方式只是我們的第一步。

    Learn more

  • 我們的領導層

    認識推動 Uber 發展的團隊成員。

    Learn more

  • 推動使用自動駕駛技術

    自動駕駛車輛將在未來扮演重要角色，Uber 也正在為此項技術鋪路。

    Learn more

  • 我們的零排放之路

    每日數百萬個行程、零排放，以及改用環保包裝：這是我們為地球上所有人竭力實現的目標。

    可持續發展

  • 人人向前邁進的機會平等

    我們承諾並致力推動大眾及各地向前邁進。

    影響
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祝你好運！

準備加入大放異彩！希望我們的解答能協助你更了解 Uber 的工作環境。有任何問題嗎？請與招聘人員聯絡。希望提供意見？歡迎透過此簡單表格告訴我們！

提供意見

This guide outlines the general ML & AI engineering interview process, however, steps and details within those steps may vary based on the specific role, location, and business needs. For the most accurate details, please reach out to your Recruiter.

選擇你首選的語言

English香港中文版

選擇你首選的語言

English香港中文版