Remote Dev Jobs
4 jobs available
Quinncia Inc · WorldwideRemote1mo ago
(All applications will be considered ONLY through Wellfound. Please do not contact any employee of the company as no such contact/connection will be considered as an application for the job.) This posting is for a Frontend Developer, you would work alongside our team. We are a fully remote team so it does not matter which country or time zone you are in, as long as you are available from 10 AM to 1 PM (EST). We are NOT looking for part-time work, contractors, software development companies or consultants, so please only apply if you're looking for a full-time position. Quinncia is a career readiness platform that improves college student outcomes by improving students' resumes and interview skills using our AI. Quinncia allows career service to scale their offerings allowing each student to get personalized feedback on their resume and interviewing skills. With over 60% unemployment or underemployment rate recently graduated students, our goal is to integrate career readiness into the academic curriculum and make sure every student has a job within 90 days of graduation. Projects you'll be working on: We're focused on enhancing our UI and UX, as well as streamlining operations and improving our technical foundation. As a core member of the Front-End team, you will influence how we build individual features, take ownership of end to end product quality that will help make our app/website reliable We want you to focus on high-quality code and know that quality is more than just unit tests and code coverage. You would look for opportunities to automate, always package up reusable code, be constantly learning, ready to pick up new technologies, patterns, and paradigms. COOL TECH Chatbots Computer vision Data visualization Machine learning Natural language processing Video processing/conferencing Being a Frontend engineer you will need strong logical skills but also understand design patterns and ability to predict edge cases for handling different issues. You will be wo
Exposed Solutions · 🇬🇧 London, United KingdomRemote1mo ago
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they’re scaling globally — and need a world-class Lead AI Engineer to help push the boundaries of computer vision, video analysis, and multimodal LLMs wh...
Peregrine Technologies GmbH · 🇩🇪 Berlin, GermanyRemote57y ago
About Peregrine Based in Berlin, we're leveraging the power of AI to transform cameras into intelligent devices, enhancing road safety and urban mobility on a global scale, while preserving privacy at all times. At Peregrine, diversity and international collaboration fuel innovation. We unite the brightest minds with strong academic backgrounds and rich industry experience in robotics and machine learning, spanning from the tech hubs of Silicon Valley to the engineering powerhouses of Europe. Our team boasts alumni from leading automotive giants like Bosch, Volkswagen, IAV, and TomTom and institutions such as the ETH in Zurich. We're on the hunt for brilliant, dynamic, and passionate individuals eager to tackle challenging problems and make a tangible impact. Tasks The Role As a Senior Machine Learning Engineer, you will own the design, training, and on-device deployment of the computer vision models at the heart of our product. You will work at the intersection of research and production, turning state-of-the-art vision techniques into reliable systems that run within strict latency and privacy constraints on resource-constrained edge hardware. Your key tasks will include: Design, train, and optimize deep learning models for object detection, semantic segmentation, pose estimation, and tracking. Port and deploy models to resource-constrained edge hardware, achieving single-digit millisecond latency without cloud dependencies. Build and maintain robust vision pipelines from data ingestion through training to production inference. Apply model compression techniques such as quantization, pruning, knowledge distillation, and neural architecture search to meet strict performance budgets. Develop synthetic data and domain adaptation pipelines to close the sim-to-real gap. Profile inference pipelines end-to-end to identify and eliminate bottlenecks on target silicon. Translate cutting-edge academic research into highly reliable, production-grade systems. Collaborate close
TELUS Digital · 🇩🇪 Berlin, GermanyRemote57y ago
About the Role: At TELUS Digital , we are building more than just models; we are building "Digital Twins" of the physical world. As a Digital Twin & Synthetic Reality Expert , you are a pioneer in Spatial AI . You don't just label 2D images; you work within 3D simulations and synthetic environments to teach AI how to navigate reality. You will bridge the gap between architectural data, physics, and machine vision. At TELUS, you are helping to create the "Map of Everything" that will power the future of autonomous infrastructure and the industrial metaverse. Tasks What Makes This Role Unique (Key Responsibilities): 3D Point-Cloud Annotation: Working with LiDAR and depth data to identify objects in a 3D space, ensuring the AI understands volume and distance, not just pixels. Physics-Consistency Auditing: Evaluating synthetic data (AI-generated environments) to ensure that gravity, lighting, and collisions behave as they do in the real world. Spatial Semantic Labeling: Annotating "Digital Twins" of factories, hospitals, or cities to teach AI the function of complex machinery and infrastructure. Synthetic-to-Real (Sim2Real) Validation: Comparing AI performance in a simulation versus the real world to identify "reality gaps" and correcting the training data accordingly. Requirements Qualification path Mandatory Qualifications: Education: Minimum of a Bachelor’s Degree in Cybersecurity, Criminal Justice, Forensic Science, or Information Security. Native Language: Native-level proficiency in your primary language is mandatory to identify localized document types and regional identity nuances. English Proficiency: Minimum B1 (Intermediate) level English. Analytical Eye: Exceptional attention to detail, specifically in identifying pixel-level anomalies in digital images. Assessment: In order to be hired into our community, you’ll go through a subject-specific qualification exam that will determine your suitability for the position and complete ID verification. Find more Engl