Staff Software Engineer Risk jobs at Uber

About the Role

This organization is responsible for serving, ingesting, and indexing data within our feed, storefront, and application carousel experiences. We support multiple data retrieval methods from a high-scale MySQL database. We focus on inventing new and exciting ways to help customers find the products they want within our ever growing catalog which requires understanding the customer needs and building a highly performant backend to support these use cases.

- - - - What the Candidate Will Do ----

1. Design, develop, and maintain robust, scalable and innovative software solutions.
2. Identify opportunities and lead the entire development lifecycle end-to-end, from architecture design and coding to testing and deployment.
3. Conduct thorough code reviews, offering constructive feedback to maintain high code quality and elevate coding standards.
4. Help the team understand what is important and what problems to focus on.
5. Identify solutions to ambiguous problems and help the team reason through tradeoffs.
6. Communicating with internal clients, other technical teams, and management to collect requirements, describe software product features, and technical designs.

- - - - Basic Qualifications ----

1. Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 5+ years of full-time engineering experience.
2. Experience in hands-on software development with thoughtfulness of scale, latency and distributed architecture.
3. Highly efficient coding in Golang, Java or any similar languages.
4. Solid experience working with relational databases, MySQL, PostgreSQL or similar databases, on high concurrency environments.
5. Working experience with Flink, Spark, and/or Kafka

- - - - Preferred Qualifications ----

1. Solid systems design experience on high availability and low latency environments.
2. Proven experience of shipping high-quality internal platforms.
3. Solid experience working with non-relational databases, Cassandra, MongoDB or similar, on high concurrency environments.
4. A great teammate and owner - willing to take on ownership of the systems, and think about operations, maintenance and reliability of their systems.
5. Proven experience working with online food delivery systems and/or e-commerce platforms is a plus.

For Canada-based roles: The base salary range for this role is CAD$164,000 per year - CAD$182,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .

About the Role

- - - - What the Candidate Will Do ----

1. You will be designing and implementing an enhanced UI for our geospatial platform technologies, providing ops with the tooling to control the Uber marketplace.
2. You will build web tooling to facilitate incident management capabilities for Uber's critical services.
3. You will design reusable UI components to be reused across various tools and services using TypeScript, React, CSS, NodeJS and leveraging open-source frameworks built by Uber such as Base UI, Styletron and Fusion.js.
4. You will develop capabilities to visualize real time geospatial events as they happen in real time.
5. You will guide the team on web practices to modernize our web stack and act as the Web Lead for the team.

- - - - Basic Qualifications ----

1. 5 + years experience with common web technologies (HTML5, CSS, Javascript, TypeScript), Application Servers, Web Applications
2. Proficiency in Javascript and experience developing UIs with JavaScript development frameworks, e.g. React, Angular, Vue, etc
3. Experience with Node.js, React-Query, GraphQL, or other server-side Javascript technologies and tools
4. Excellent written and verbal communication skills, including the ability to gather requirements and draft detailed design documents.

- - - - Preferred Qualifications ----

1. Demonstrated experience of shipping high-quality product features on schedule
2. Familiarity with principles of good user experience and experience with UX design tools, e.g. Figma
3. Strong understanding of web performance, accessibility, responsive design, and cross-browser compatibility.
4. Experience implementing complex projects with multiple dependencies
5. Experience in multiple programming languages, e.g. Go, Java, etc
6. Familiarity with large-scale Distributed Systems

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .

As a Senior ML Engineer, you’ll translate ambiguous business and security needs into concrete ML problems, design and iterate on solutions, and take them end-to-end into production. This is greenfield work at the intersection of ML, security, and infrastructure, shaping how Uber secures AI at scale.

1. 5+ years experience in formulating ML problems from ambiguous business requirements especially in risk, fraud, or security contexts
2. Proficiency across a broad range of ML algorithms: tree-based models (XGBoost, LightGBM), classical statistical models (logistic regression, SVMs), and deep learning architectures (CNNs, RNNs, Transformers), with the ability to select and apply the right approach based on context and data.
3. Hands-on experience with feature engineering, model development, and productionization of ML pipelines.
4. Proficiency in PyTorch, TensorFlow, or similar ML frameworks, and in Python or comparable languages for scalable, production-grade systems.

1. Proven ability to own ML systems end-to-end: from requirement discovery → feature design → modeling → deployment.
2. Deep experience with advanced ML techniques, including ensemble methods, neural networks, graph-based models, and handling challenges like imbalanced data, feedback loops, and iterative retraining.
3. Familiarity with large-scale data/infra systems (Kafka, Pinot, Hive, Cassandra, Spark, Flink).
4. Background in access control, authentication, or enterprise security systems.
5. Track record of technical leadership: mentoring engineers, driving cross-functional initiatives, or shaping ML/security strategy.

1. Translate business and security needs into well-defined ML problems.
2. Develop, iterate, and productionize ML models that drive risk-adaptive decisions in real-time.
3. Engineer features from Uber’s risk systems, logs, and contextual signals.
4. Integrate ML systems into Uber’s critical access pathways (containers, APIs, gateways, data).
5. Collaborate across Security, Risk, and Infra teams to deliver scalable, production-ready solutions.
6. Provide leadership by mentoring junior engineers, evangelize ML best practices, and help shape ML strategy within AI Security.

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

About the Role

As aSenior Software Engineer, you'll contribute high-quality, reliable, and maintainable code that serves as a foundation for teams across Uber. You'll work closely with cross-functional partners to anticipate their needs and shape the platform capabilities required to support the launch of innovative and impactful financial products.

- - - - What the Candidate Will Do ----

1. Lead the design, development, and deployment of new financial products, features, and platforms that provide these features to Uber Riders, Drivers and Merchants.
2. Collaborate with product managers and cross-functional stakeholders to translate business requirements into technical solutions that align with financial products strategy.
3. Build robust, scalable, and efficient systems that handle real-time user data,
4. Develop systems and software to bring outstanding solutions to scalable systems at global Uber
5. Mentor and guide junior engineers on technical designs, coding best practices, and architecture.

- - - - Basic Qualifications ----

1. Bachelor’s or Master’s degree in Computer Science or a related technical field, or equivalent practical experience.
2. 5+ years of experience as a Backend Engineer.
3. Proven experience in software development, with a strong understanding of programming languages such as Go, Java, Python, or C++.
4. Strong experience with backend development and microservices architecture.
5. Experience with data analytics and experimental design in an engineering context.
6. Excellent problem-solving skills and a passion for innovation.
7. Excellent communication and teamwork abilities.

- - - - Preferred Qualifications ----

1. Highly efficient coding in Golang, Java or any similar languages.
2. Comfortable dealing with system complexity
3. Strong background in data analytics tools such as Hive, or similar.
4. Familiarity with CI/CD pipelines and testing frameworks.
5. Demonstrated leadership skills, with experience in mentoring and guiding junior engineers.
6. Proven experience of shipping high-quality product features on schedule and with high velocity
7. Great sense of ownership
8. Ability to work effectively in a fast-paced, team-oriented environment.
9. Strong communication skills, both written and verbal, to articulate complex ideas to various stakeholders.

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

About the Role

- - - - What the Candidate Will Do ----

1. Lead the development of next generation of Map/location based web experiences and features end-to-end from inception to delivery at the Uber scale.
2. Work closely with Product and Design team to prototype solutions and help translate unclear business requirements in well defined UX/system requirements.
3. Design and build web applications using React, GraphQL, Flow, CSS in JS, node.js, and leveraging open-source frameworks built by Uber such as Base UI, Styletron, and Fusion.js.
4. Track the success of your features through user experiments, collaborating with Data Science and Product teams as necessary.
5. Coach and mentor junior engineers or new engineers joining the team.

- - - - Basic Qualifications ----

1. 5+ years of professional experience in front-end or full-stack web development, with deep expertise in modern JavaScript frameworks (e.g., React, TypeScript, Redux).
2. Proficiency in designing and consuming RESTful and/or GraphQL APIs.
3. Experience leading complex product surfaces or features end-to-end, including architecture, implementation, testing, and rollout.
4. Strong understanding of web performance, accessibility, responsive design, and cross-browser compatibility.
5. Comfort navigating large codebases and collaborating across multiple teams and functions (e.g., mobile, backend, design, product).

- - - - Preferred Qualifications ----

1. Experience working with map technologies (e.g., Mapbox, Google Maps, Leaflet) or building location-based user interfaces and flows.
2. Prior experience in high-scale consumer products.
3. Experience with experimentation, A/B testing frameworks, and data-driven product development.

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .

Optimization/Operations Research Engineers lead efforts within the team and broader Delivery Marketplace organization to drive ideation, development and productionization of optimization solutions with real-time and ML-based signals that solve strategically important problems. Some existing problem spaces that the team works on:

• Develop the objective function which balances magical user experience and economics of the business
• Improve timeliness for Uber delivery trips
• Eater and courier segmentations based delivery matching decisions

It is a challenging yet rewarding job. You will have a lot of opportunities to work with product managers, Applied Scientists and ML and BE engineers. You will be in charge of solving Uber-scale problems with the right techniques and algorithms.

• You will work with a mixed team of Backend Engineers, MLEs, and Applied Scientists
• You will build new scalable algorithms for real-time delivery matching products across hundreds of global marketplaces
• You will take things from mathematical formulation through to prototype and experiment. You will work with backend engineers to put your ideas into production
• You will help identify new opportunities for improving our algorithms and models

Basic Qualifications

• PhD in relevant fields (Operations Research, Computer Science, Mathematics, Industrial Engineering, etc.) with a focus on optimization modeling
• 3+ years of industry experience developing algorithms and models for large-scale deployment
• Experience with optimization packages such as Gurobi, CPLEX, and OR Tools
• Strong communication skills and ability to work effectively with cross-functional partners
• Proficiency in one or more coding languages such as Python, Java, Go, or C++

• Experience with two or three-sided marketplace design, matching/allocation, pricing optimization, etc
• Familiarity with Machine Learning models, experimentation (e.g., A/B testing) and causal inference
• Experience with real-time optimization systems (optimization under tight time constraints)

For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

We aim to prioritize safety and growth at a global scale by building and optimizing cost-efficient identity verification processes for identifying risky actors and limiting unnecessary friction for safe earners.

As a Risk and Compliance Specialist, you will play a pivotal role in ensuring the highest service quality standards, risk mitigation, and compliance within our organization. Your responsibilities will revolve around analyzing data, identifying potential risks, implementing strategies to address compliance issues, and fostering a culture of continuous improvement. This role requires strong analytical skills, problem-solving abilities, effective communication, and a collaborative mindset to work with various organizational stakeholders. The ideal candidate will be proficient in Google Sheets and demonstrate a commitment to execution excellence.

• Analyze metrics, risk factors, and compliance standards to identify areas for improvement.
• Develop and implement strategies to enhance service quality, mitigate risks, and ensure compliance with regulatory requirements.
• Identify emerging risks and trends, and proactively recommend solutions to mitigate potential impacts on service quality and compliance.
• Work on content development in case of gaps in the SOPs/KB pages.
• Utilize analytical tools, including Google Sheets, to collect, organize, and analyze data for informed decision-making.
• Work with TLs to improve the team's TPH, R2, insights & impact metrics.
• Willingness to work in shifts (rotating day/night shifts, rotating weekend offs).

Basic Qualifications

• Proven track record of identifying issues, developing innovative solutions, and implementing effective strategies to address challenges related to service quality, risk management, and compliance.
• Strong interpersonal skills with the ability to collaborate effectively with cross-functional teams and influence stakeholders to achieve common goals.
• Demonstrated proficiency in using Google Sheets for data analysis, reporting, and collaboration.
• Excellent verbal and written communication skills with the ability to articulate complex concepts and technical information to diverse audiences.
• Commitment to delivering high-quality results, meeting deadlines, and continuously improving processes and procedures to achieve organizational objectives.
• Work in a 24x7 support environment, pro-actively take initiatives/ suggest improvements, and work closely with the TLs in carrying out projects.
• Ability to train new hires, and floorwalkers and set them up for success when they start production.
• Ability to analyze complex data sets, identify patterns, and derive actionable insights to improve service quality and mitigate risks.

Preferred Qualifications

• Must be in the current roles for 6 months at least.
• Strong attention to detail, critical thinking skills, and the ability to exercise sound judgment in decision-making.
• Proven track record of executing projects, driving process improvements, and achieving measurable results.
• Excellent organizational skills with the ability to prioritize tasks, manage multiple projects simultaneously, and adapt to changing priorities.

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .