Design and build features in the AllTrails iOS app that power our on-trail navigation experience. Collaborate with cross-functional partners from design and product management to identify and squash bugs. Deliver performant, reliable, scalable and secure code and monitor performance and addressing scaling issues.
As a Software Engineer II, you’ll play a key role in designing, developing, and maintaining high-quality software solutions. You’ll work closely with cross-functional teams to build scalable and performant applications while mentoring junior engineers and driving best practices. The company expects that you will be proficient in either Frontend or Backend development.
Experian is seeking a Machine Learning Software Engineer to join the Experian Assistant team, a GenAI-powered platform. You will help build agentic workflows, improve prompt engineering strategies, integrate the latest LLMs using SDKs like OpenAI's Responses API and Experian's internal Arabica SDK, and report to the Engineering Director.
This Lead AI Software Engineer role will focus primarily on Panorama’s generative AI products, Solara and Class Companion. In this role, you will lead the design and implementation of AI-powered features across these products to support educators in improving student outcomes. Our Lead Software Engineers are engineering leaders who use their technical skills and knowledge to support a squad of engineers through mentorship, collaboration, and role modeling.
We are looking to hire a Backend Software Engineer with a strong work ethic and a passion for building new software to take ownership of key services and features in the backend of our product suite. Given the nature of products, there are complex and engaging problems that demand a diverse skill set. The engineers are expected to embrace modern development practices, improve quality, and unlock new capabilities.
As a Senior Software Engineer on the Service Engineering team, you will be a key driver of operational efficiency and technical foundation by designing, implementing, and maintaining internal tooling, automation frameworks, and technical solutions. This role turns complexity into clarity, architecting abstractions and connection frameworks to ensure scalability and reliability across systems. You will collaborate with business leaders and product teams to support core feature development and handle business needs.
The Human Care Ecosystem Team is responsible for designing, building, and maintaining Oura’s partnership integrations, healthcare, and B2B products. The ideal candidate wants to understand our users and listen to their needs, proactively advocates for technical investments, and is passionate about delivering quality code. Initiative and end-to-end ownership is valued: taking a rough idea, working with others to turn it into a concrete feature or product, deploying it, and monitoring its usage.
Looking for Senior Android Engineers (minimum 5 years of experience) to join one of the app development teams. The roles available cover different feature areas, such as activity and movement, women’s health, or new member onboarding. This is a remote US position with a preference for candidates based in the US-Pacific timezone.
As a Senior Engineer on the Platform Services team, you will focus on the most critical system in our stack - our ingestion system. You'll balance enabling our product requirements with working on advancing our platform to collect even more data at an even higher scale. You'll regularly work alongside our Chief Architect to make sure we're ready for future growth. You understand that the common way to solve a problem is occasionally not the best way, and you want to innovate.
We are seeking an experienced Staff full stack engineer with a strong ability to execute hands-on technical work. The AI Lifecycle Team provides the UX backbone and visualization products that Machine Learning Engineers use to shepherd their ideas from data collection to model deployment in the AV. As a Staff Full Stack Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions.