Counsel Ai/ml Governance & Enablement jobs at Uber

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.

What You'll Do

As a Senior Engineer on the PaaS Platform team focusing on Platform Intelligence, you will be at the forefront of this transformation, building the intelligent systems that will define the future of Uber's platform engineering developer experience.

• Build AI-Powered Tooling : Design, build, and operate novel systems that leverage Generative AI and Large Language Models (LLMs) to create a world-class developer experience embedded in our existing offerings. This could be features like an AI assistant embedded in our platform UI and GenAI agents that provide instant support in Slack and Stack Overflow, or automatically generating actionable insights from our stakeholders’ interactions with our systems and extending Uber's current automated dev experience tools with intelligent code review and code patching functionalities

• Drive Platform Autonomy : You will be a key contributor in evolving our platform’s AI capabilities. A primary goal will be to empower engineers with assistants, tools and integrations that can autonomously orchestrate debugging, moving our support functions from manual to automated

• Deliver Company-Wide Impact : You will build and own the core tools and integrations in our PaaS platform that codify and automate developer advocacy for all platform resources. Your work will deliver measurable improvements in developer productivity, issue resolution speed, and overall developer satisfaction.

• Collaborate Across Uber : Work closely with Uber's central AI Tools team to leverage foundational models and AI infrastructure. You will also partner with platform and developer experience teams, collecting feedback to ensure the solutions you build solve the most critical user problems.

Basic Qualifications

• Bachelor's or Master’s degree in Computer Science or a related technical field, or equivalent practical experience.
• 5+ years of professional software engineering experience.
• Proficiency in one or more programming languages such as Go, Java, or Python.
• Passion for improving developer productivity and a data-driven mindset to decision-making.

Preferred Qualifications

• Hands-on experience applying AI, machine learning, or Generative AI to solve complex software engineering problems.
• Familiarity with Model Context Protocol (MCP) servers and agent-to-agent communication patterns.
• Recognized experience in building developer platforms, infrastructure, CI/CD, or tools that improve the software development lifecycle.
• Excellent communication skills and experience working cross-functionally to deliver complex projects.

* 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. Solve business-critical problems using a mix of generative AI, classical ML, and deep learning.
2. Build generative AI applications (e.g., conversational assistants, text summarization, multimodal experiences) using large language models and related architectures.
3. Collaborate with product, science, and engineering teams to execute on the technical vision and roadmap for Applied AI initiatives.
4. Deliver high-quality, production-ready ML systems and infrastructure, from experimentation through deployment and monitoring.
5. Adopt best practices in ML development lifecycle (e.g., data versioning, model training, evaluation, monitoring, responsible AI).
6. Deliver enduring value in the form of software and model artifacts.

- - - - Basic Qualifications ----

1. Master or PhD or equivalent experience in Computer Science, Engineering, Mathematics or a related field and 2+ years of Software Engineering work experience.
2. Experience in programming with a language such as Python, C, C++, Java, or Go.
3. Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn.
4. Experience with SQL and database systems such as Hive, Kafka, and Cassandra.
5. Experience in the development, training, productionization and monitoring of ML solutions at scale.
6. Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems.
7. Excellent problem-solving and analytical abilities.
8. Proven ability to collaborate effectively as a team player.

- - - - Preferred Qualifications ----

1. Prior experience working with generative AI (e.g., LLMs, diffusion models) or multimodal AI and integrating such technologies into end-user products.
2. Exposure to audio ML and voice AI (STT, TTS, voice embeddings, etc.).
3. Experience in modern deep learning architectures and probabilistic models.
4. Machine Learning, Computer Science, Statistics, or a related field with research or applied focus on large-scale ML systems.

You will partner closely with Legal, Finance, Procurement, Accounting, and Supplier Management teams to deliver seamless vendor experiences while ensuring financial and process discipline. You’ll also play a critical role in developing your team, driving operational excellence, and scaling our vendor operations function to support the evolving needs of the CLO.

• Set Strategy and Drive Execution : Define the vision, roadmap, and priorities for vendor operations, aligning with broader legal operations and organizational goals.
• Optimize Vendor Lifecycle Management : Oversee processes across onboarding, contracting, matter management, billing compliance, and payment workflows for outside counsel and legal vendors.
• Own E-Billing Platform Strategy and Performance : Guide the ongoing development, integration, and support model for our e-billing systems (e.g., SimpleLegal, Coupa), ensuring scalability and usability across stakeholders.
• Lead and Manage a global team: Provide day-to-day leadership and professional development for a team of Program Managers focused on legal billing, vendor lifecycle management, and systems administration.
• Ensure Excellence in Billing Operations : Maintain oversight of daily billing operations, including spend request governance, PO and matter creation, invoicing accuracy, and timely payment processing.
• Accruals and Budget Collaboration : Serve as the primary operational liaison with Accounting and Finance teams to support legal accruals, budget planning, forecasting, and reporting efforts.
• Cross-Functional Collaboration : Act as the primary point of contact for vendor operations initiatives with Legal leadership, Finance, Procurement, and other key internal stakeholders.
• Standardize and Scale Processes : Identify and implement best practices, policies, and KPIs to improve efficiency, compliance, and transparency across vendor operations.
• Drive Change Management and User Adoption: Lead change initiatives by developing training materials, delivering user education, and clearly communicating new processes to support global adoption and alignment across the department.

Basic Qualifications

• 10+ years of experience in legal operations, vendor management, procurement, or finance, including 2+ years of people management experience.
• Experience scaling legal billing operations or vendor management programs.
• Deep understanding of legal billing processes and experience with tools such as SimpleLegal, Coupa, or equivalent platforms.
• Proven experience with Procure-to-Pay (P2P) processes, including PO lifecycle management, invoice flow, and payment operations.
• Experience with Salesforce to manage workflows, reporting, or integrations across operational systems.

• Demonstrated experience for innovation, leading cross-functional initiatives and improving operational workflows.
• Experience reviewing, drafting and coordinating SME feedback for outside counsel engagement letters.
• Superior analytical and legal skills, mature judgment, innovative thinking and a desire to take the initiative and think two steps ahead.
• Strong, team-oriented collaborator, with confidence and flexibility to perform in nimble, rapidly changing and growing environments, as well as build relationships and gain credibility.

• Passionate about your work and a desire to have a big impact.

• Embody the highest standards of integrity, ethics and accountability.

• Enthusiasm about Uber and our mission!

About the Role

As a Product Manager on the Uber AI Solutions team, you’ll be responsible for driving the development and optimisation of the platform that supports e2e life cycle ofexperts (knowledge workers).

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

1. Own the product roadmap, definition, and execution for building advanced applications that powers experience of expert (knowledge workers) and clients
2. Own your numbers, drive your cross-functional team of engineers, data scientists, product ops, and designers to set qualitative objectives and quantitative goals -- and overachieve them.
3. Collaborate with Uber internal and external stakeholders, including clients, product managers, engineering, data science, and global operations teams to ensure that our products support this new line of Uber’s business objectives globally, at scale.
4. Be a thought leader in the knowledge work space - deeply understand how technology and operations work in tandem to create truly empathetic delightful experience for our clients and workers;

- - - - Basic Qualifications ----

1. Thinking from first principles: You don't assume things or take the status quo for granted. You base your solutions on data, product instinct, curiosity and a hypothesis + experimentation driven approach.
2. Experience delivering highly successful and creative technology products/platform in marketplace space
3. Technically Proficient: You have a visceral sense of how technology at large is evolving and how it impacts our customer’s life. You have collaborated with engineers in developing the technical architecture of the products you have built.
4. Thrive in an environment of fast feedback loops, constantly evolving customer preferences in a fast-moving industry with a mindset of rapid prototyping and iteration.
5. Minimum 2 years PM experience, or relevant background in building scalable data platforms.
6. Have a background in computer science or relevant discipline; MBA preferred, but not required for consideration

- - - - Preferred Qualifications ----

1. Customer obsession: Be passionate about understanding your customers’ pain points, and building experiences to delight them. You can proudly showcase several examples of this.
2. Profound understanding of the product process: Segment users, define user goals, come up with creative solutions, strong prioritization and execution skills
3. A love for formulating product vision leveraging user research and metrics, getting buy-ins from key stakeholders across the organization, and breaking down this vision into a tangible roadmap
4. Have passion for both user experience and system design, as well as a strategic outlook in how our tools align with our business scenarios
5. Persuasive communication and partnership skills- this will be an extremely cross-functional role, with stakeholder teams spanning multiple verticals globally

* 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

We are looking for someone who has passion for designing and driving large projects from inception to production. The right person will work with stakeholders, product managers, scientists, partner engineering teams to gather requirements and translate them into a platform feature. Must be a great communicator, team player, and a technical powerhouse.

- - - - Basic Qualifications ----

1. Bachelors Degree, or above, in Comp Science or related field
2. Scalable system architecture design experience
3. 6+ years of experience in a software engineering role
4. Production-quality services, deployment, monitoring, and reliability.
5. Microservice designs, gRPC or REST API development
6. Ability to decompose complex business problems into clean, extensible, performant services and systems
7. Logging, monitoring, performance troubleshooting and tuning experience
8. Excellent problem-solving skills and the ability to work in a collaborative team environment
9. Comfortable in navigating multi-disciplinary teams with respect
10. Focus on code quality in terms of coverage, code reviews
11. Excellent technical writing skills to communicate design, requirements, flows, architecture
12. Fluent in one of these programming languages: Golang, Scala, Java,
13. Comfortable in one of these scripting languages: Javascript, python
14. Solid understanding of algorithms, data structures, and software design principles.
15. Experience with version control systems such as Git.

- - - - Preferred Qualifications ----

1. Experience in Machine Learning, GenAI, or LLM technologies.
2. Experience with building conversational assistants
3. Dialog management systems like Google Dialogflow, Amazon Alexa
4. Familiarity with large scale distributed systems like Kafka and cloud platforms like AWS, GCP, or Azure.
5. Familiarity with communication channel interfaces eg: WhatsApp, SMS, slack

For Sunnyvale, 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 .

What You'll Do

• Championing legal excellence: Be at the forefront of Uber's legal efforts, working on engaging, hands-on work, tackling novel legal issues and commercial contracts, partnership agreements, technology agreements, promotional agreements, sponsorships, partnerships, as well as general procurement and marketing and advertising initiatives; you'll be a trusted legal advisor to the Uber Eats businesses.
• Leading on commercial matters: Be part of the incredible growth story of Uber advising across both the Delivery and Mobility business in a high growth market and have the opportunity to develop strong cross-functional relationships with stakeholders across the business and the wider legal team and work on a wide range of fast-paced, high impact, and high profile commercial, product and corporate matters. Play an integral part in the phenomenal growth of Uber Eats and advise on the development and launch of new products and solutions to eaters, couriers, and restaurants as well as advise the new verticals team on new retail product offerings.
• Champion of innovation: Uber is known for its innovative spirit, and your legal acumen will be critical in supporting new product launches and initiatives. You'll work closely with product teams as well as Policy, Operations, Marketing and Communications teams to identify potential legal risks and devise proactive strategies to minimise exposure. You’ll turn challenges into opportunities by devising out-of-the-box solutions to intricate legal issues to achieve ambitious operational goals for the business.
• A true team player: You’ll be part of a close-knit legal team but you will also work closelywith cross-functional teams including employment, tax, policy and communications and stakeholders to drive Uber's mission forward.
• Legal Development: Understand, interpret and apply current laws and regulations as applicable to Uber’s business models in the region and your areas of responsibility;
• Clear Communicator : Excellent communication skills - adept at turning legal jargon into clear, succinct and engaging advice.
• Most importantly: you will work hard but have a lot of fun doing it!

What You'll Need

• UK qualified
• 3 year PQE+ at a top-notch law firm or in-house.
• Fluent in written and spoken English. Any other relevant languages are an advantage too.
• Strong academic credentials
• Experience in negotiating and advising on complex commercial contracts including MSAs, SaaS agreements, promotional and strategic partnership agreements
• Strong business judgement and commercial acumen, communication and interpersonal skills.
• Confidence and passion for operating in a fast paced, ever-changing environment.
• Outstanding organisational and prioritisation skills.
• Collaborative approach with both business and legal teams, with a strong ability to facilitate ideas, build relationships, gain credibility and partner with others.
• A “go get it” attitude - not afraid to roll up your sleeves and get stuck in.
• Enthusiastic about Uber, Uber Eats and our mission.
• Most importantly, a sense of humour and a willingness to embrace fun and excitement while tackling serious legal challenges!

* 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 .