Senior AI Engineer - San Mateo, CA
The role involves training, evaluating, and monitoring new and improved LLMs and other algorithmic models. The engineer will test and deploy content moderation models in production and iterate based on real-world performance metrics and feedback loops. They are expected to develop medium to long-term vision for content understanding-related R&D, collaborating with management, product, policy & operations, and engineering teams. The position requires taking ownership of results delivered to customers, advocating for changes in approach where needed, and leading cross-functional execution.
Senior Backend Engineer (Learn (Core Systems) & Search)
The Senior Backend Engineer, Learn (Core Systems) is responsible for redesigning existing components to support enterprise-scale workloads, analyzing and resolving bottlenecks in storage, query performance, APIs, and data models, leading migrations away from legacy implementations to sustainable replacements, improving reliability and efficiency of APIs and integrations for internal and external clients, driving technical projects from definition to delivery with Product Managers and other teams, maintaining a long-term view of system health and architecture, and sharing technical knowledge, reviewing designs, and setting best practices for backend and systems design. The Senior Backend Engineer, Search is responsible for architecting and scaling search infrastructure to billions of documents in multi-tenant environments, designing hybrid search combining keyword search with semantic understanding and vector search, building ranking and personalization systems that learn from user behavior, collaborating with AI engineers to integrate large language models into the search pipeline and build retrieval augmented systems, optimizing search performance across query parsing, index design, and distributed architecture, leading development of search observability and quality frameworks with clear metrics and monitoring, and working closely with product and design to shape the future of knowledge discovery at Sana.
Member of Technical Staff - ML Research Engineer; Multi-Modal - Audio
Invent and prototype new model architectures that optimize inference speed, including on edge devices; build and maintain evaluation suites for multimodal performance across a range of public and internal tasks; collaborate with the data and infrastructure teams to build scalable pipelines for ingesting and preprocessing large audio datasets; work with the infrastructure team to optimize model training across large-scale GPU clusters; contribute to publications, internal research documents, and thought leadership within the team and the broader ML community; collaborate with the applied research and business teams on client-specific use cases.
Software Engineer, Evaluation Frontend
As an Evaluation Frontend Software Engineer, you will design tools and visualizations that enable researchers and engineers to compare and analyse hundreds of model evaluations, including both data visualization tools and statistical tools to extract signal from noisy data. You will develop an understanding of the relative merits and limitations of each model evaluation and suggest new facets of model evaluation. Your work will involve collaborating closely with cross-functional teams, including researchers and engineers, to surface necessary insights for model development.
Finance Platform Engineer
Use proprietary software applications to provide input and labels on defined projects. Support and ensure the delivery of high-quality curated data. Contribute to the training of new tasks by working closely with the technical staff to develop and implement cutting-edge initiatives and technologies. Interact with technical staff to improve the design of efficient annotation tools. Choose problems from economics fields that align with expertise, focusing on macroeconomics, microeconomics, and behavioral economics. Regularly interpret, analyze, and execute tasks based on given instructions. Provide services including labeling and annotating data in text, voice, and video formats to support AI model training, sometimes involving recording audio or video sessions.
Data Engineer – Spark Specialist
Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make customers successful. Scope and co-develop production-level data science projects with customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth.
Product Marketing Manager, Developer Platform
As Product Marketing Manager, you drive go-to-market strategies for OpenAI’s developer platform, focusing on adoption, strategic launch planning, and growth of APIs among developers and businesses. You collaborate closely with Product, Engineering, and GTM teams to develop product positioning, messaging, marketing plans, post-launch campaigns, and customer/market insights.
Software Engineer, Monetization Infrastructure
You will design and build backend and infrastructure systems for OpenAI’s monetization and ads stack, emphasizing reliability, privacy, security, and large-scale performance. You’ll develop APIs and platforms, drive 0→1 infrastructure projects, and collaborate cross-functionally with Product, Research, and Design teams.
Engineering Manager, Monetization Product & Platform
Lead and develop a high-performing engineering team to build core monetization and ads systems at OpenAI. Define and execute the technical strategy and roadmap for next-generation monetization infrastructure while collaborating closely with product, design, and research partners.
Engineering Manager, Monetization Infrastructure
Lead and develop a high-performing engineering team to build the core monetization and ads systems at OpenAI. Own the technical strategy, roadmap, and execution for foundational monetization infrastructure, ensuring alignment with safety, privacy, and policy standards.
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