[Immediate Start] Sr Software Engineer, Ml

Uber s AI Center of Excellence for Security and Privacy is dedicated to building robust scalable AI-driven products engineering standards and policies that proactively safeguard user data fortify our security posture and foster trust through transparent communication and innovation As a leader on this team you will 1 Shape Strategy Define and drive the roadmap for AI ML-powered security and privacy solutions that span user-facing applications downstream services and core infrastructure platforms 2 Architect Build Lead the end-to-end design development and deployment of high-impact tools and frameworks that integrate seamlessly across Uber s ecosystem 3 Collaborate Evangelize Partner with product engineering legal and policy teams to translate complex security and privacy requirements into practical AI solutions-and champion best practices across the organization 4 Mentor Grow Coach engineers and data scientists in secure ML development threat modeling and privacy-preserving techniques helping to elevate the team s technical expertise Basic Qualifications 1 End-to-End AI ML GenAI Expertise Proven track record designing developing and deploying production-quality AI ML solutions-especially generative AI systems-spanning data ingestion prompt engineering model fine-tuning retrieval-augmented generation RAG and inference optimization 2 Large Language Model Proficiency Hands-on experience with foundation models e g GPT PaLM LLaMA and open-source alternatives adept at prompt design chain-of-thought engineering embedding creation and custom fine-tuning workflows 3 Agent Development Orchestration Experience building and deploying AI agents-designing multi-step workflows tool integrations and autonomous decision-making pipelines to solve complex tasks and drive business value 4 GenAI Infrastructure MLOps Familiarity with MLOps pipelines for GenAI model versioning CI CD monitoring A B testing container orchestration Docker Kubernetes and scalable deployment of LLMs in cloud or on-prem environments 5 Data Vector Store Management Ability to build and maintain scalable data pipelines and vector databases e g FAISS Pinecone Weaviate for efficient semantic search and knowledge retrieval 6 Robust Software Engineering Strong coding skills in Python and or Java Go with experience in ML frameworks TensorFlow PyTorch scikit-learn and building secure maintainable APIs and microservices Preferred Qualifications 1 LLM Fine-Tuning Expertise Hands-on experience fine-tuning large language models using techniques such as LoRA PEFT or full-parameter updates on both open-source and proprietary models 2 Agent Frameworks Prior work building or extending agent frameworks e g LangChain LlamaIndex or custom in-house solutions for multi-step reasoning and tool orchestration 3 Prompt Engineering Mastery Deep familiarity with prompt templating few-shot zero-shot strategies chain-of-thought prompting and mitigation of prompt drift or hallucinations 4 GenAI Evaluation Testing Experience designing evaluation protocols for generative models automated metrics and human-in-the-loop testing with an emphasis on security bias detection and reliability What the Candidate Will Do 1 Define Drive AI Security Privacy Solutions Architect and implement end-to-end GenAI and ML systems-agents RAG pipelines fine-tuned LLMs and custom models-that proactively detect and mitigate security threats and privacy risks 2 Build Operate Platforms Develop scalable data pipelines vector stores and MLOps infrastructure CI CD monitoring model-versioning to support continuous delivery of AI-driven security and privacy features 3 Integrate with Uber Ecosystem Embed AI capabilities into user-facing products downstream services and core infrastructure tools-designing APIs microservices and tooling for seamless adoption by engineering teams 4 Collaborate Cross-Functionally Partner closely with Product Legal Policy and Security Operations to translate requirements into technical specs ensure compliance with data-privacy regulations and align on risk-mitigation strategies 5 Develop Maintain Agents Build autonomous AI agents and orchestration workflows that interface with internal systems and external tools automating complex security and privacy tasks Uber s mission is to reimagine the way the world moves for the better Here bold ideas create real-world impact challenges drive growth and speed fuelds progress What moves us moves the world - let s move it forward together Offices continue to be central to collaboration and Uber s cultural identity Unless formally approved to work fully remotely Uber expects employees to spend at least half of their work time in their assigned office For certain roles such as those based at green-light hubs employees are expected to be in-office for 100 of their time Please speak with your recruiter to better understand in-office expectations for this role 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 Uber is proud to be an equal opportunity workplace We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity Veteran Status or any other characteristic protected by law