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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()

Comment nous recrutons

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.

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Notre processus de recrutement

  • 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.

  • Votre recruteur rencontre votre jury d'entretien pour évaluer vos performances par rapport aux compétences requises pour le poste et à nos valeurs. L'équipe travaille ensemble pour parvenir à une décision et votre recruteur vous informe du résultat. Croisons les doigts !

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.

Données que nous évaluons

Compétences liées au poste

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.

Les valeurs Uber

Nos valeurs guident notre comportement et nos décisions, et les équipes de recrutement évaluent chaque candidat en tenant compte de nos valeurs pour répondre à la question suivante : traduisez-vous les valeurs d'Uber qui vous permettront de vous épanouir et de réussir dans notre environnement ? Assurez-vous de comprendre nos valeurs et de préparer des exemples qui démontrent comment vous les avez mises en œuvre lors de vos expériences antérieures pour prendre des décisions.

Exemples de questions en lien avec les valeurs :

« Parlez-moi d'un projet qui vous a fait innover dans la façon dont vous… »
(Valeur : focus sur les trajets)

« Décrivez comment vous travaillez avec les autres équipes pour… »
(Valeur : un Uber)

Conseils

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.

    Méthode STAR

  • Think real world

    Vos recruteurs essaieront d'évaluer votre manière de gérer des situations de la vie réelle auxquelles vous pourriez vous confronter dans le cadre de ce travail. Communiquez de manière structurée, en réfléchissant aux défis potentiels que vous pourriez rencontrer.

  • 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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FAQ

  • 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.

  • Vous pouvez utiliser l'IA pour vous préparer à votre entretien, par exemple pour mettre en pratique les réponses, faire des recherches sur le rôle ou structurer vos réponses. Cependant, gardez en tête que les outils d'IA (par exemple, ChatGPT, les générateurs de réponses automatisées, les outils d'auto-complétion de code) ne peuvent pas être utilisés pendant l'entretien. Nous voulons évaluer vos compétences, vos capacités à résoudre les problèmes et votre processus de réflexion en temps réel. Si votre entretien implique une résolution de problèmes technique ou basée sur un cas, il vous faudra être en mesure d'expliquer et de justifier vos réponses sans l'aide de l'IA.

  • 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!

  • Quelques jours après vos entretiens, vous recevrez une enquête de satisfaction pour nous faire part de vos commentaires sur votre expérience. Si vous n'avez pas de nouvelles de notre part, n'hésitez pas à contacter votre recruteur.

    • 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.

La vie chez Uber

  • Uber Engineering Blog

    Read stories and insights about the technology behind Uber Engineering.

    Explore the blog

  • Nos valeurs

    Nos valeurs ne restent pas lettre morte : elles nous motivent à faire bouger le monde.

    Découvrez nos valeurs

  • Nous sommes là pour vous

    Nos avantages vous soutiennent lorsque vous en avez le plus besoin, qu'il s'agisse de bien-être, de fertilité ou de crédit Uber mensuel.

    Découvrez nos avantages

  • Qui vous êtes a son importance

    Notre culture d'inclusion permet à tous les collaborateurs de réaliser pleinement leur potentiel tout en restant fidèles à leur identité.

    Learn more

  • Groupes de ressources pour collaborateurs

    Nos ERG offrent des opportunités de développement de la communauté, de l'impact et du leadership.

    Learn more

  • Notre lieu de travail

    La plupart des collaborateurs passent au moins la moitié de leur temps de travail au bureau. Les mardis et les jeudis sont des jours fixes où tous les collaborateurs hybrides travaillent en présentiel. Les collaborateurs peuvent également travailler de n'importe où jusqu'à quatre semaines par an.

    Learn more

  • Faire avancer le monde

    Découvrez comment les athlètes paralympiques, les anciens combattants et les collaborateurs du monde entier aident Uber à faire avancer le monde au travail et au-delà.

    Blog sur les carrières
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À propos d'Uber

  • Notre mission

    Nous réinventons la façon dont le monde se déplace pour le mieux.

    Learn more

  • En quelques chiffres

    Nous avons confirmé la promesse de notre plateforme, et ce n'est que le début.

    Aperçu

  • Ce qui nous distingue

    Au fur et à mesure que nous avons évolué, notre plateforme a démontré une puissance énorme.

    Ce qui nous distingue

  • Nos services et nos activités

    Changer la manière dont les utilisateurs commandent un trajet pour se déplacer n'est qu'un début.

    Learn more

  • Nos dirigeants

    Rencontrez l'équipe à la tête d'Uber.

    Learn more

  • En avant l'autonomie !

    Les véhicules autonomes auront un rôle clé dans notre avenir, et nous construisons Uber pour façonner la route vers le futur.

    Learn more

  • Notre parcours vers l'objectif « zéro émission »

    Des millions de trajets par jour, zéro émission et une transition vers des emballages durables. C'est notre objectif pour chaque personne sur la planète.

    Développement durable

  • Faciliter la mobilité pour tous

    Nos engagements et nos actions pour faire progresser les personnes et les lieux.

    Impact
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Bonne chance !

C'est parti, vous pouvez briller ! Nous espérons avoir répondu à certaines de vos questions et vous avoir donné un aperçu de ce que c'est que de faire partie d'Uber. Vous avez des questions ? Contactez votre recruteur. Vous avez des commentaires ? N'hésitez pas à nous en faire part en remplissant ce formulaire rapide !

Laissez un commentaire

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.

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