Build and ship high-quality applications and APIs to optimize in-store grocery operations and fresh food supply chains. Collaborate with product managers and ML specialists to design reusable UIs and implement system observability.
Afresh
16 Remote Job Openings at Afresh
Build and ship high-quality applications and APIs to optimize in-store grocery operations and fresh food supply chains. Collaborate with product managers, designers, and ML specialists to develop reusable solutions and implement system monitoring.
Own the frontend architecture and technical roadmap for the flagship AI ordering product and Corporate Hub. Lead collaboration across teams to establish development standards and mentor junior to mid-level engineers.
Own the frontend architecture and technical roadmap for the flagship AI ordering product and Corporate Hub. Lead collaboration across teams to establish development standards and mentor junior to mid-level engineers.
Build and ship high-quality applications and APIs to optimize in-store grocery operations and fresh food supply chains. Collaborate with product managers, designers, and ML specialists to develop reusable solutions and monitoring systems.
Build and maintain the foundational infrastructure and tooling that powers machine learning and applied science solutions. This includes developing data APIs, featurization tools, forecasting systems, and scalable training pipelines.
The role involves communicating product value and technical functionality to prospects while leading technical discovery to map customer needs to the Afresh solution. Additionally, the Sales Engineer will collaborate with cross-functional teams to provide product feedback and build resources for the growing team.
Build and ship high-quality full-stack applications to optimize grocery store operations and supply chain decision-making. Collaborate with product managers, designers, and machine learning specialists to deliver extensible solutions across front-end, API, and data layers.
You will design and implement robust ETL pipelines to process large-scale customer data and build tools to streamline integration workflows. Additionally, you will collaborate with cross-functional teams to deliver data solutions and mentor engineering team members.
Design and implement robust ETL pipelines to process large-scale customer data while building tools to streamline integration workflows. Collaborate with cross-functional teams to deliver data solutions that support machine learning features and improve overall system scalability.
The Senior Talent Acquisition Partner will act as a strategic advisor to hiring managers to identify and close niche technical talent. They will manage the end-to-end recruiting process, leverage AI tools for sourcing, and ensure data integrity within the Greenhouse ATS.
The engineer will be crucial in advancing the core ML platform's performance, reliability, and scalability by working on critical infrastructure that enables ML and Applied Science teams to innovate faster. Responsibilities include delivering projects like generalizing model configuration or improving integration testing within the first three months, and owning significant scalability improvements within six months.
The Product Manager will own the next generation inventory management and store ordering solution, responsible for a significant portion of fresh food volume and aiming to eliminate massive amounts of food waste. This involves owning the product vision, roadmap, ML models, end-to-end experience, and communicating the rationale behind decisions to stakeholders.
The Senior Software Engineer, Infrastructure will own and deliver infrastructure projects end-to-end, building and improving platform primitives to help service teams deploy, operate, and debug services reliably and quickly. This role involves enhancing observability, implementing cost and performance improvements, and working with Security to implement practical controls.
The role involves building and maintaining the foundational infrastructure and tooling for all machine learning and applied science solutions, focusing on shared components like data APIs, featurization, forecasting systems, and scalable training pipelines. Responsibilities include elevating the core ML platform's performance, reliability, and scalability to enable faster innovation for ML/Applied Science teams.
You will lead multiple integration projects, managing technical delivery across customers and scoping novel projects. Additionally, you will act as a subject matter expert on Afresh's integration architecture and drive improvements to completion.
