Improving the quality of life by reducing city noise levels

The fastest-growing European SaaS company is searching for an AI/ML Engineer ! You can be our perfect match! About DocuSketch: DocuSketch, with its European Headquarters in Potsdam, Germany, is a leading European software technology provider for the digital real estate economy. With our product brands Immoviewer and DocuSketch, we have become one of the most successful and fastest-growing software vendors in the rapidly expanding property tech sector. Our enthusiastic customer base is located across Europe and North America. DocuSketch's groundbreaking digital technology greatly facilitates real estate companies and building restoration companies to digitize, visualize, and virtualize real estate properties. Our solutions help our clients realize tremendous cost-saving potentials, process optimization, and revenue growth. You’ll be working in a team that drives the company's AI development to develop algorithms for a variety of different use cases. This includes e.g. working with equirectangular, phone, or satellite images to detect doors, windows, or other objects inside of buildings or finding facets on the roof. You’ll be challenged by solving complex 3D geometry problems and working closely with our labeling team to ensure the best possible data quality. Responsibilities and Duties: · Research, train and deploy state-of-the-art machine learning models for object detection and 3D perception on equirectangular images · Quickly prototype new ideas/technologies to create proof of concept and demos Qualifications: · Bachelor’s Degree in Computer Science or equivalent experience · Excellent math skills · Experience with 3D computer vision algorithms · Preferably 5+ years of experience developing and training machine learning models · Strong Experience with Deep ML frameworks (PyTorch) · Strong Experience in Python · Self-motivated and energetic team player with a strong work ethic and cooperative attitude · Excellent communication …

10000 – 120000

Veröffentlicht 2 Nov 2026

Software Engineer, Infrastructure Hybrid in Palo Alto (Mon / Wed / Thurs) · $185K–$215K base + meaningful early-stage equity + full benefits  About Sodalis Specialty pharmacy is where the most complex and expensive drugs reach the most in-need patients, and it still runs on faxes, phone tag, and manual data entry. Patients wait weeks for therapies that can't wait. Sodalis is building AI agents that run those operations end to end: reading and validating prescriptions, handling phone calls, and moving prescriptions through eligibility and fulfillment. The ambition goes beyond that. We want to be the rails every specialty prescription runs on, and the first system to perform clinical review at the standard of a pharmacist. We're already in production, processing tens of thousands of prescriptions a week. Backed by Gradient Ventures (Google's AI fund), and founded by veterans of Apple's Applied ML, Included Health, and Avella Specialty Pharmacy (scaled to $1.5B+ before its acquisition by OptumRx).  The Opportunity Everything we run today is cloud-based, and so are the pharmacy management systems we integrate with. But most of the specialty pharmacy market runs on-prem. To reach it, our system has to run on the pharmacy's systems instead of ours. Whether that's the full stack on-site or a hybrid split with our cloud is one of the first decisions you'd make. That's the problem you'd own. We've never shipped an on-prem deployment, so there's no pattern to follow. You'll decide how our architecture gets packaged and deployed into environments we don't control, what has to change in our current infrastructure to make that possible, and how we maintain and see into those deployments once they're live. We don't yet know what these environments look like in detail. Some pharmacies may have restricted outbound access, legacy hardware, or IT teams that can't give us a login; others may be more open. Part of the job is going in with our customer, finding out what's actually…

185000 – 215000

Veröffentlicht 2 Nov 2026