The Brand Ad Formats team is seeking a skilled Backend engineer with a product-focused mindset to join the team. As a staff backend engineer on the team, candidates will work on online systems used for ad rendering, microservices and APIs that power the advertiser-facing product, and backends that power interactive ad experiences. Staff-level engineers are expected to help define best practices and be effective code contributors.
We're seeking two skilled full-stack engineers to tackle complex technical challenges powering the future of IoT connectivity. You'll work with our collaborative team where your technical decisions directly impact how millions of connected devices communicate worldwide. You'll design and optimize systems, build robust backend services, develop customer dashboard features, and implement full-stack solutions.
This hands-on technical role spans Generative AI (GenAI), traditional Machine Learning (ML), and early-stage Data Science. You’ll play a critical part in delivering high-impact AI solutions, establishing best practices, and supporting the development of our AI capabilities across the business. You will work across the full AI lifecycle - from prototype to production - and contribute to platform development, MLOps/LLMOps infrastructure, and applied data science.
Participate in the development and maintenance of custom code in support of cutting-edge software initiatives, including applications designed to assist digital forensic and malware analysis operations. Actively contribute to cyber capabilities development and deployment to address emerging mission requirements. Responsibilities include software development, technology recommendations, application security testing, documentation and collaboration with technical government entities.
This is a unique opportunity to join a software engineering team that is growing quickly. You will build impactful healthcare technology on a modern stack utilizing your full stack software engineering background. Responsible for end to end feature releases and platform enhancements. Actively support the technical design process, bringing your expertise and analysis to help make data-driven decisions.
As a Machine Learning Engineer on the research team, you will bring AI into the physical world and thrive at the intersection of theory and practical application. You will work with researchers, engineers, and customers to build, scale, and deploy intelligent systems.
Join a friendly and growing team to disrupt the Index space and participate in the next phase of our growth! As part of the Platform Engineering team, you will design, build and operate large scale services leveraging public clouds to build an industry leading platform for financial indices.
We’re looking for a Software Engineer to join our engineering function. As a Software Engineer, you will develop a high-impact service, guide technical good practices, and play an active role in the Development Community of practice. You will shape and execute architectural and technical patterns used in the company to solve the problems for operational teams, improve UX, and cause a WOW effect in the eyes of our Members.
The Institutional Data Initiative (IDI) seeks a Principal Engineer to develop and deploy repeatable methods and pipelines, think creatively about extracting and manipulating data, and unlock knowledge collections. The role involves researching and evaluating machine learning models and natural language processing techniques. It also includes contributing to open-source software and providing technical leadership.
Turing is seeking individuals with LLM expertise to tackle business challenges for Fortune 500 clients. As a key contributor within Turing's GenAI delivery division, you'll collaborate on impactful GenAI initiatives, working alongside a diverse team of Turing engineers. The organization has a track record of deploying cutting-edge multi-agent LLM and RAG systems, as well as open-source LLM deployments for major enterprises.