Remote Dev Jobs

8 jobs available

100% Remote3ms
-
computer-vision
Active filters:
Quinncia Inc

Quinncia Inc · WorldwideRemote2mo 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

N

NebiusRemote57y ago

<div class="content-intro"><p><strong>About Nebius:</strong></p> <p>Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.</p> <p>Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.</p> <p>Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.</p></div><h3><strong><span data-ccp-props="{}">The role:</span></strong></h3> <p><span data-ccp-props="{}">Nebius is building the cloud infrastructure that will power the next generation of Physical AI—robotics, autonomous systems, simulation, and embodied intelligence operating in the real world. As a European-headquartered AI infrastructure company, EMEA is a strategic home market for Nebius and one of the most consequential regions in the global Physical AI buildout—from UK autonomy and foundation-model players, to German humanoid and industrial robotics, to Swiss legged-robotics and Israeli/Nordic frontier startups, to the EU's rapidly accelerating defence and dual-use AI ecosystem.</span></p> <p><span data-ccp-props="{}">The Principal, EMEA GTM – Physical AI owns our GTM motion across EMEA: a regional sales overlay role built to drive repeatable revenue within our first and most important segment—Physical AI natives based in or operating across Europe, the Middle East, and Africa. This is not a generalist regional AE seat. It is a domain-led, EMEA-anchored pipeline generator and deal accelerator designed to create leverage: tighter narratives, sharper use-

I

Isarsoft · 🇩🇪 Munich, GermanyRemote57y ago

We are Isarsoft We make every camera count At ​Isarsoft ​we develop video analytics software ​to make transportation and cities more efficient, inclusive and secure. ​We stand for data protection and responsible processing of sensitive data. Being ​on the forefront of innovation we work together in interdisciplinary teams in a positive, fun and energetic atmosphere. Our customers and partners are at the center of everything we do. ​Founded in 2019 ​​we have ​grown organically winning large customers ​and partners delivering compelling, reliable, high-performance software. We are proud of being a privately held company with family atmosphere focusing on long-term relations to our customers and team members. Your mission Support Customer Success: Assist in engaging with customers to understand their technical needs and use cases for Isarsoft Perception. Bridge Tech & Requirements: Work alongside our engineering team to help translate customer feedback into actionable product requirements. Hands-on Technical Support: Partner with sales and engineering teams during technical workshops, product demos, and onboarding. Product Improvement: Help investigate new feature opportunities based on real user data and customer feedback. Your profile Enrolled student in Computer Science, Software Engineering, Data Science, or a related technical field (ideally with at least 2 semesters remaining). First practical experience (through projects, internships, or courses) in SQL, Python, and working with APIs/SDKs. Strong communication skills and a problem-solving mindset with a focus on helping users. Fluency in both English and German (min. C1 level required). Ability to work up to 20 hours/week during the semester (flexible during semester breaks). Additional assets Familiarity with Docker or Linux environments. Basic understanding of Computer Vision or AI applications. Prior experience in a startup or fast-paced tech environment Modern development workflow proficiency, including the

E

Eraneos · 🇩🇪 Hamburg, GermanyRemote57y ago

Das findest Du bei uns Wir sind ein technisches, umsetzungsorientiertes Spin-Off einer global agierenden Managementberatung. Zu unseren Kunden gehören primär DAX und Fortune Global 500 Unternehmen, die wir zu Fragen in den Bereichen Analytics, Big Data und Machine Learning beraten. Wir übernehmen in der Gruppe die Entwicklung von individuellen und datengetriebenen Lösungen, um so unsere Kunden in KI-gestützte Unternehmen zu transformieren. Wir bieten ein internationales Arbeitsumfeld mit agilen Teams und kreativen Startup-Methoden sowie eine überdurchschnittliche Vergütung und zahlreiche Zusatzleistungen. Mit unserem HQ in Hamburg und weiteren Büros in München und Düsseldorf sowie unseren Hub-Standorten in allen weiteren deutschen Großstädten (Berlin, Köln, Frankfurt und Stuttgart) stellen wir sicher, dass alle Kollegen deutschlandweit in unser Expertenteam eingebunden sind. Du bewegst Dich selbstverständlich zwischen Business, Technologie und Menschen. Du verstehst die Herausforderungen unserer Kunden, erkennst die eigentlichen Fragestellungen hinter den Anforderungen und entwickelst daraus nachhaltige Data- und AI-Lösungen mit messbarem Mehrwert. Alles in Einem: Du hast Spaß an Thought Leadership, AI First und möchtest Dein Team jeden Tag ein bisschen besser machen. Als Senior Manager Data Science & AI Engineering bist Du mehr als Projektleiter oder Tech Lead. Du bist Sparringspartner für Entscheider, Übersetzer zwischen Fachbereichen und Engineering sowie Impulsgeber für innovative Lösungen. Du bringst strategisches Denken, technologische Exzellenz und unternehmerisches Handeln zusammen und begleitest unsere Kunden von der ersten Idee bis zur erfolgreichen Umsetzung. Dabei übernimmst Du Verantwortung für komplexe Kundenprojekte, entwickelst langfristige Kundenbeziehungen weiter und gestaltest gemeinsam mit unserem Team den Ausbau unseres Data-Science- und AI-Portfolios. Gleichzeitig förderst Du die Entwicklung unserer Mitarbeitenden und schaffst ein Umfeld, in de

M

moia · 🇩🇪 Berlin, GermanyRemote57y ago

<h2><strong data-stringify-type="bold">Join us as a (Senior) Backend Software Engineer </strong><strong data-stringify-type="bold">(all genders) in our <strong>Vehicle Perception</strong><span class="TextRun Highlight MacChromeBold SCXW92905516 BCX8" lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW92905516 BCX8"> team</span></span> and help shape the future of autonomous mobility!</strong></h2> <p>To realise the vision of autonomous ride pooling, the <strong>Vehicle Integration</strong> domain develops the tools and applications that make passenger management possible without a driver. How can passengers authenticate themselves in the vehicle? How do we ensure a safe cabin during boarding and the ride? What content should be shown on the screens to create a safe and informative experience? </p> <p>The <strong>Vehicle Perception</strong> team addresses some of these challenges by building end-to-end solutions for live video streaming, operator communication, and computer vision inside our vehicles. The team develops the technical foundation for real-time cabin awareness. This includes live video pipelines that stream reliably from the vehicle to backend systems, as well as interfaces and services that enable operators to connect with passengers and provide timely support. In addition, it implements perception models that are meant to detect and classify cabin states — for example, identifying occupied seats, forgotten objects, or compliance with safety requirements. </p> <p>Our team has the necessary roles on board to take full responsibility for the given value streams: from backend and embedded developers to quality specialists, functional safety experts and product managers. </p> <p>We are looking forward to getting to know you, and would be really happy to welcome you as part of our team.</p> <h2><strong>What you will do</strong></h2> <ul> <li>Bridge the data flow of the AWS based backend infrastructure and the in-vehicle components using AWS ser

C

Clera · remoteRemote57y ago

About the Role We are a Series A AI company based in Mountain View, CA, building high-quality training and post-training data, robust reinforcement learning environments, and intelligent agents that bridge the gap between AI research and real-world execution. Our work spans multimodal data, agentic systems, and physical intelligence — and we collaborate closely with frontier AI labs and enterprises. As an ML Engineer – Robotics , you will design, train, and deploy intelligent models that power autonomous systems at the intersection of machine learning, control systems, and real-world robotics. You'll build perception, planning, and decision-making pipelines that make machines truly adaptive, solving hard, interdisciplinary problems that combine data-driven learning with real-world physical constraints. What You'll Do Develop and optimize ML models for perception, motion planning, and control. Build computer vision and sensor fusion systems using camera, LiDAR, and IMU data. Integrate learning-based models with robotics software stacks (ROS/ROS2). Design pipelines for data collection, simulation, and reinforcement learning workflows. Collaborate with robotics and hardware engineers to deploy models in live, real-world environments. Continuously evaluate model performance and robustness across diverse scenarios and deployments. What We're Looking For Required 3–8 years of professional experience in Machine Learning, Robotics, or Computer Vision. Proficiency in Python and C++ for robotics and ML development. Hands-on experience with PyTorch and/or TensorFlow for model development. Proficiency with ROS or ROS2 and integrating ML models into robotics software stacks. Experience with robotics simulation and benchmarking tools such as Gazebo, Isaac Sim, CARLA, MuJoCo, or PyBullet . Experience designing and deploying perception, motion planning, and control pipelines for autonomous systems. Experience with sensor fusion using camera, LiDAR, and IMU data. Experience with dat

AA

Anyone Ai · RemoteRemote57y ago

Our vision: Mastering machine learning is difficult, time-consuming, and often frustrating. Meanwhile, the AI industry faces its biggest challenge: a global shortage of skilled talent. At Anyone AI, we close this gap by upskilling the best talent from LatAm through an accelerated, hands-on training program designed and led by AI industry experts. Our mission: We are building the largest hub of AI developers in the region, investing in tens of thousands of developers over the next decade. We are founding members of Deep Vision AI, one of the first companies in the computer vision / AI space, which was acquired in early 2020 by DFW Capital Partners. Anyone AI is backed by top global investors like GFC -Global Founders Capital- (investors in Facebook, LinkedIn, Slack, etc), Canvas Ventures (early investor in Coursera), Latitud Fund (the largest community of angel investors for LatAm), Magma Partners, Lotux VC, among others. Run the race of your life This is an opportunity to transform the AI industry and positively impact thousands of lives in Latin America. This position offers self-motivated, collaborative individuals the chance to make a direct impact on Anyone AI’s products and services. You will have the opportunity to challenge yourself while contributing to the development of a revolutionary accelerated training program. This program is designed to invest in people from LatAm, helping them master ML and AI and secure a job in the space. About the Role We are seeking a Data & Operations Specialist who thrives at the intersection of process automation and data workflows. This role is both highly technical and operationally strategic: you’ll design and maintain automation workflows, manage key processes (admissions, education, career services, billing), and ensure data accuracy across all areas. You’ll be hands-on with tools like Zapier, Hubspot, Google Sheets, AppScripts, Notion/Airtable, APIs, and ideally Supabase. At the same time, you’ll take ownership of opera

P

Prima · 🇬🇧 London, United KingdomRemote57y ago

Are you looking for a new challenge? Fancy helping us shape the future of motor insurance? Prima could be the place for you. Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 5 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain. To help fuel that growth, we need a Software Engineer- Machine Learning to join our Engineering team. This team is the beating heart of Prima. You’ll be joining over +350 engineers across software development, infrastructure, operations and security. Fueled by curiosity, experimentation and collaboration, you’ll help deliver scalable, impactful solutions that shape the future of insurance. Excited to make an impact? Here are the details The team mission is to exploit the power of machine learning to revolutionize the insurance claims process. To help fuel that growth, we need a Software Engineer to join our Claims Machine Learning team. What you’ll do Leverage Machine Learning and advanced data analytics to identify risks and opportunities in our claims management platform. Analyze and interpret complex data to support the claims management lifecycle. Contribute directly to the company’s growth and long-term success through actionable insights. Collaborate with cross-functional teams to transform data into intelligence and intelligence into action What we’re looking for Software Engineer First: You’re a strong software engineer at heart: you write clean, maintainable, and production-ready code. While you're comfortable handling data, generating insights, and training machine learning models, you approach these tasks with a software engineering mindset, prioritizing scalability, reliability, and performance. Analytical Prowess: Strong quantitative, logical, and analytical skills are essen