At Nava, we are building open-source solutions that help governments move faster, reduce costs, and adapt technology to meet evolving needs for everyone. We are seeking a passionate Open Source Community Manager Engineer to join our team and help build modular, reusable tools that scale across public agencies. This role offers the opportunity to work in the open , collaborate with civic technologists, and contribute to technology that makes a tangible impact on public services.
Peraton is seeking a Software Developer to join our team of qualified, diverse individuals. In this role, you'll collaborate with team members and customers to understand system requirements, analyze issues, create specifications, and develop solutions using Mainframe Adabas/Natural.
We're looking for a great Engineering Team Lead with strong people leadership, delivery and operations experience as well as a technical software engineering background to join us. You'll lead a pod of engineers who own a number of platform products, creating and maintaining platforms that can scale and support Xero's continuing growth. You'll be responsible for supporting your direct reports, empowering them to deliver high-quality software and fostering the growth of a world-class engineering culture.
🏞️ US
🏖️Unlimited PTO👶12w maternity👨👧12w paternity
Lead and mentor a high-performing, full-stack engineering team and be responsible for hiring, coaching, and mentoring. Drive technical strategy and own the technical vision and roadmap for integrating Kiavi’s proprietary AI/ML technology into our loan origination platform and loan products. Guide your team in shipping complex, large-scale projects where availability, correctness, and security are critical.
In this role, you will drive technical excellence, foster innovation, and ensure alignment between product vision and engineering execution. You’ll collaborate closely with cross-functional teams — product, design, and architecture — to deliver scalable, high-quality software solutions that power our global data platforms. As a hands-on technical leader, you’ll guide your teams in adopting best practices and modern architectures.
Looking for an experienced Front-End Engineer with a React Native focus to join the Social team. You'll play a key role in evolving the existing social features and bringing new ideas to life — from concept and design to launch. You will work closely with Product Managers, Designers, and Engineers across the stack to build and continuously improve trading-related features.
Partner with Product and Design teams to ideate, implement, and analyze A/B tests aimed at improving our registration funnel conversion and other key growth metrics. Lead, mentor, and develop a high-impact engineering team. Work with your manager and team to establish priorities, including new features, infrastructure, and tool building. Drive accountability by improving team processes, communication, and delegation of tasks and projects.
Fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. The work ensures models are not only intelligent, but also safe, trustworthy, and impactful at scale. Train and customize diffusion models using LoRA, DreamBooth, and other parameter-efficient methods. Build, clean, and annotate large-scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation.
You’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale. You'll operate across the stack, from backend logic and integration to frontend delivery, building intelligent systems that scale fast and matter deeply.
As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy. You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security. You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications. You will own the development and maintenance of core functionalities within ML applications.