As a lead technologist on projects, you’ll work with a variety of clients, typically one to two in a year, through a variety of technologies and frameworks. You’ll lead complicated projects, leading teams to do so, working with colleagues who share your passion for technology solutions. You’ll invest time developing your skills and sharing what you know, making immediate contributions to projects and rapidly building trust with clients.
As a founding Full Stack Engineer on the Polygon Fintech Labs team, you’ll work hand-in-hand with our Engineering Manager to build the core application layer for our next-generation fintech products. From day one, you’ll collaborate closely with product and design to architect and ship intuitive, high-impact features that deliver real-world financial utility to millions of users.
As the Software Engineer for Scout Motor’s digital products organization, you will play a key role in the development and enhancement of our software products, from concept to deployment. You will work with senior engineers, and cross-functional partners to design the technical underpinnings of the product. Collaborate with cross-functional teams to define, design, and ship new features and write clean, maintainable, and efficient code across the full software stack.
As a Machine Learning Engineer, you will play a crucial role in developing cutting-edge machine learning solutions to improve the automotive shopping experience for consumers. You will work on a range of engaging projects aimed at optimizing pricing models, recommendation systems, and shopper segmentation. Collaborate with stakeholders to fuse ideas from business issues to machine learning solutions. Solve moderately complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks.
Work closely with our product & design team to translate and execute product vision into scalable product. Be a stakeholder in engineering and product strategy -- this isn’t just another place to knock down story points and tickets -- you’ll have meaningful and direct ownership in your work. Have the autonomy to ship code to production regularly and frequently. Develop tested, scalable core product features that are seamlessly integrated with our API driven frontend. Own the technical execution on key roadmap projects for the team.
Shape the future of AI within Apptegy's product suite by embedding cutting-edge LLM capabilities directly into user experiences. Solve complex problems at the intersection of product, engineering, and artificial intelligence. Mentor an engineering organization, establish AI best practices, and see your strategic vision come to life, growing your leadership and technical expertise.
This role is for a Research Engineer to join the Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.
Build the mobile applications (Android) our members rely on for world class digital healthcare. Dedicate the majority of time to hands-on coding, serving as a technical leader and mentor to junior engineers by solving challenging programming and design problems. Lead large projects by anticipating infrastructure and architectural needs, and propose innovative AI solutions to complex problems.
The Internationalization Infrastructure team (i18n team) aims to foster global belonging and offer the best localization experience by providing reliable, efficient, scalable, and extensible globalization infrastructure and tooling for Airbnb code, content, and stakeholders. As an engineer on the i18n Infrastructure team, you will be critical to the continued success and broad appeal of Airbnb. In this role, you will have an opportunity to build intuitive workflows and tools to serve the needs of our stakeholders, business partners, and end users.
Be part of a team that focuses on building a world-class data science platform. Work closely with both product owners and architects to fully understand business requirements and the design philosophy. Optimize web and data applications for performance and scalability. Collaborate with automation engineering team to deliver high-quality deliverables within a challenging time frame.