

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.
Basic QualificationsFor 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.
משרות נוספות שיכולות לעניין אותך

About the Role:
Reporting to Chief Ethics, Compliance & Security Officer, you will be responsible for defining the technology roadmap, identifying and evaluating new tools, leading cross-functional projects, and fostering a culture of innovation and continuous improvement within the ECS tech ecosystem. You will partner closely with engineering, IT, legal, and various business teams to deliver robust, scalable, and user-centric solutions to elevate our impact.
What You'll Do:
- Product Ownership:Act as the overall product owner for ECS-specific technology initiatives, defining requirements, prioritizing features, and overseeing the entire development lifecycle, from concept to deployment and ongoing maintenance.
- Tooling & Systems Management:Lead the selection, implementation, configuration, and ongoing management of a diverse portfolio of ECS tools, including but not limited to: Case management systems (integrity helpline, investigations); Public Safety response portal; Governance, Risk, and Compliance tools like ServiceNow; Regulatory and Risk assessment and management tools; Security incident response platforms; Data management
Identify opportunities to automate and streamline ECS processes through technology, improving efficiency and reducing manual effort.
Basic Qualifications:
- 12+ years of experience in technology leadership, product management, technical program management or a similar role, with a strong focus on enterprise software implementation and management.
- Proven hands-on experience implementing and leveraging AI within an organization.
- Strong track record of successfully leading complex technology projects from inception to completion, on time and within budget.
- Demonstrated ability to influence across a broad spectrum of stakeholders.
- Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Bachelor's degree in related field; or equivalent practical experience.
Preferred Qualifications:
- Familiarity with various programming languages and architectural patterns.
- Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop
- Advanced understanding of statistics, causal inference, and machine learning
- Experience designing, prototyping and implementing large scale initiatives.
- Experience working with large scale data sets using technologies like Hive, Presto, and Spark.
- Proficiency in fine-tuning and optimizing large language models (LLMs).
- Experience with GRC (Governance, Risk, and Compliance) platforms.
- Experience in retrieval-augmented generation (RAG) systems.
- Familiarity with agentic workflows and their applications in machine learning and AI systems.
- Master's degree in a relevant field.
For New York, NY-based roles: The base salary range for this role is USD$239,000 per year - USD$265,500 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$239,000 per year - USD$265,500 per year.

About the Role
You will partner closely with teams across Data Platform, Infrastructure, Engineering Security, Product, and Legal, serving as the connective tissue across disciplines to deliver secure, compliant, and scalable solutions. This role requires strong technical depth, strategic program ownership, and a proactive leadership mindset.
As a TPM, you will own the problem space end-to-end, working closely with engineering and product leaders to define and drive solution strategy. Lead high-impact, cross-functional initiatives, coordinating efforts across multiple engineering teams to deliver secure outcomes. Establish and track clear program milestones, KPIs, and success metrics to ensure accountability and transparency. Proactively identify risks, resolve dependencies, and escalate issues as needed to keep execution on track.Drive operational rigor by standardizing best practices, improving execution efficiency, and enabling consistent, repeatable program delivery. Deliver clear and concise executive communications, including regular program updates to senior leadership and stakeholders.
What the Candidate Will Do:
Basic Qualifications:
Preferred Qualifications:
For San Francisco, CA-based roles: The base salary range for this role is USD$180,000 per year - USD$200,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$180,000 per year - USD$200,000 per year.

About the Role
As Senior Cloud Security Engineer, you will be is responsible for designing and implementing robust security architectures across cloud platforms such as AWS, OCI, or GCP. You will lead efforts to identify and mitigate security risks in cloud infrastructure, migrate existing or enable new business while ensuring compliance with industry standards and internal policies. This role involves collaborating with application and infrastructure teams to embed security best practices from design to deployment stage. Additionally, you will have opportunities to drive strategic initiatives to modernize security operation with genAI.
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For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

What you will do:
Basic Qualifications
Preferred Qualifications
* 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
Global Strategic Analysis provides analytic insights and recommendations to enable leadership decision-making on employee life and safety, and marketplace security risks. We seek to inform leadership of emerging threats and forecast future challenges, as well as provide mitigation insights and suggestions.
The Regional Security Analyst -- APAC Lead will be the primary intelligence personnel responsible for briefings and intelligence analytic products covering the security landscape in Australia, North Asia, Southeast Asia, and other major markets in the region.
Your Impact in Role
What You Will Need
* 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 .

What You Will Do
Basic Qualifications
Preferred Qualifications
* 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 .

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.
Basic QualificationsFor 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.
משרות נוספות שיכולות לעניין אותך