As a Machine Learning (ML) Engineer in Woltβs Personalization team you will build the ML infrastructure to develop, train and deploy Woltβs ranking models that select the content to display to our customers; Work end-to-end, from use case design to implementation, delivery and monitoring of your solutions; Maintain our production ML stack and raise the teamβs ML engineering excellence bar. You will also liaise with Woltβs ML Platform team, contribute to communities, and solve customer problems.
Job listings
Drive the technical execution of our AI initiatives, owning the delivery of AI-driven systems from implementation to deployment; a hands-on role focused on coding, system building, and technical decision-making. Lead planning and prioritization for AI initiatives in collaboration with product, design and leadership. This role will naturally evolve to include full management responsibilities.
In this position, you will be accountable for the development and management of backend services and platforms including but not limited to Database, API, Microservices, and Eventing development and frameworks. This role will work across product teams to develop services to expose business logic, data that can be consumed by both internal and external consumers.
Develop, write, and test code for software applications or systems for Rithum's Retailers business function. You will be responsible for supporting your software engineering team, ensuring quality standards, and striving for innovation in meeting our business goals. Participate in code reviews, learn new technologies, and engage in the software development process utilizing agile methodologies.
We are looking to hire a mid-level Software Engineer who is comfortable owning progress to our team goals from start to finish, from architecture design to production support, and is looking to have an immediate impact on the organization. You'll contribute to all parts of our stack, distributed services, queuing, and data layers. You will expand and improve our cloud-based, mission-critical, 24x7 production system with stringent uptime requirements and create architecture and design documents, write, test and review code.
Apiphani is building the future of intelligent infrastructure automation through agentic AI. As a Senior Backend Engineer, you will help design and build the systems that power Luumen β an AI-driven automation platform used by enterprise IT and managed service providers around the world. This is a high-impact, zero-to-one engineering role focused on building the backend foundations for large-scale AI orchestration, combining traditional infrastructure automation with large language models.
Drive applied research into LLMs and agentic systems, rapidly prototyping, validating, and shipping production-ready capabilities. Stay hands-on with the latest advances in foundation models, LLM-as-a-judge, agentic frameworks & tools, and move fast to bring them into the product. Leverage emerging technologies and a team of legal experts to improve the intelligence and autonomy of our agents.
Support Curinos' Databricks-native machine learning and AI platform by operationalizing production-grade models, managing deployments, and ensuring robust monitoring and governance. Requires strong communication across functions, including data scientists, data engineers, and product managers. Play an active part and take ownership of end-to-end design, implementation, and testing of complex ML and AI workflows in a collaborative team environment.
Shape the future by combining cutting-edge AI solutions with intuitive software development, specializing in building scalable and secure SaaS applications to empower enterprise clients solve complex problems efficiently. As part of the team, you'll work on high-impact projects at the intersection of AI, machine learning, and secure software engineering, leading development initiatives, contributing to SaaS products, and tackling exciting challenges.
Scale ElevenReader, redefine the audiobook experience by bringing voice AI to a multi-billion dollar industry, and focus on SEO, growth marketing, funnel optimization, and performance marketing. Build, experiment, and measure using Next.js (React, TypeScript) on the frontend and Python (FastAPI) on the backend.