Computer Vision

Software QA Lead (Within Streaming) Up to $150,000 Remote - USA Brief SummaryWe’re looking for an experienced Streaming QA Lead to build and own our QA strategy from the ground up. You’ll lead the implementation of test automation, CI/CD integration, and best practices that ensure code quality, reduce production issues, and empower our developers to move faster without sacrificing stability. This is a high-impact, hands-on role where your work will directly improve developer velocity and product reliability. ResponsibilitiesDesign, implement, and own an end-to-end QA process for our streaming platformDevelop and maintain automated integration test suites to run on all pull requestsIntegrate test automation into the CI/CD pipeline for seamless, continuous validationCreate clear testing guidance, standards, and best practices for the engineering teamManage test cases using tools like TestRail and Xray, ensuring comprehensive coverageCollaborate with developers to verify new features and catch regressions before they reach productionMonitor, analyze, and report on QA metrics to measure success and drive continuous improvement Requirements8+ years of experience in software QA, with a track record of building or scaling QA processesExperience within streaming and live video is highly desirableStrong proficiency in Python and automation frameworks such as PytestSolid understanding of Docker, Git, and AWS environmentsHands-on experience with test case management tools (TestRail, Xray) and CI/CD integrationAbility to design and execute structured test plans and strategiesStrong problem-solving skills and the ability to influence engineering best practicesExcellent communication and documentation skills Success in the first 3–6 months:Automated integration test suite in place and running on PRsFully integrated CI/CD pipeline executing tests automaticallyClear, actionable testing guidelines adopted by engineersNoticeable improvement in developer velocity and reduction of production/staging breakagesApply now to learn more!

Senior Machine Learning Engineer (m/f/d)Join a mission-driven tech team applying cutting-edge AI to the recycling and waste management sector. They’re developing intelligent systems to optimize material detection, sorting, and process efficiency. Making industrial operations smarter and more sustainable. We're looking for a Senior Machine Learning Engineer with strong experience in computer vision and Robotics to help design and deploy advanced models in production environments.This is a key position as part of their Bunker Management solution in the waste process. You will work on automating the crane picking when organising the bunkers thought multiple sensors. Due to this they are looking for a candidate with experience in robotics and a strong understanding of sensors for object detection, impurity detection, temperature monitoring etc.What You’ll DoDevelop and deploy ML solutions for image and time-series data (e.g. object detection, anomaly detection, forecasting)Design scalable algorithms and integrate them into real-world systemsStay on top of the latest AI research and apply new technologies (e.g. Deep Learning, LLMs)Lead code reviews, mentor junior engineers, and promote development best practicesMonitor and continuously optimize models in productionWhat We’re Looking For4+ years of experience in CV (e.g. CNNs, YOLO) and time series (e.g. LSTM, Transformers)Strong Python/C++ skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, OpenCV) and Robotics frameworks (ROS1/ROS2)Experience working with Sensors for real-world applications.Proven record of building and deploying real-world ML applicationsSolid math and data analysis skillsFluent in English and German; strong communication and leadership abilitiesWhat We OfferA key role in shaping AI products in an innovative fieldFlat hierarchies, creative freedom, and an agile environmentA diverse, interdisciplinary team and flexible working optionsModern office space and participation in company success (e.g. VSOP)Salary Budget: €80 - 95k (Dependant on Experience)

We are looking for an experienced Engineer/Scientist to join a cutting-edge robotics team in Zurich, focused on humanoid manipulation through state-of-the-art AI. You will contribute to developing and deploying learning-based controllers to enable robots to interact intelligently, reliably, and flexibly with complex environments. This role is deeply hands-on with real robot hardware, leveraging your expertise across vision-language-action (VLA) models, diffusion models, reinforcement learning, and dexterous manipulation. What we’re looking for:PhD or Master's in Robotics, AI, or related fieldsStrong expertise in learning-based dexterous manipulation (multi-fingered grasping, task-oriented manipulation)Practical experience with running real-time controllers on robotic hardwareDeep knowledge of diffusion models, transformers, CVAEs, normalizing flowsExperience working with ROS, PyTorch, and PythonFamiliarity with vision-language models (VLA/VLMs/LLMs) for robotic planning or failure detectionBonus: experience with synthetic data generation, simulation environments, teleoperation systemsWhy this role?Join a high-calibre team (ex-ETH / ex-NVIDIA founders) backed by significant investment (Seed + Series A secured)Work at the intersection of simulation, reinforcement learning, and robotics hardwareContribute to next-generation humanoid robots without reliance on traditional imitation learning paradigmsIf you’re passionate about building more intelligent robots through cutting-edge AI and want to work in a fast-moving, well-resourced environment, we’d love to hear from you.

Work on AI and Video Generation as an Applied Research Engineer/AI Engineer. Focus on developing lifelike human avatars without the need for a studio.Title: Senior Research Engineer (Avatars/ Diffusion)Location: Fully RemoteSalary: upto €140,000Responsibilities:Develop cutting-edge CV algorithms for realistic human avatars.work on the lasted Generative AI research initiatives such as Diffusion based models and transformers.Support team in advancing synthetic avatar generation.Requirements:Academic and industry expertise Video Generative AI.2+ years in generative computer vision (GANs, diffusion models, auto-encoders).Proficiency in Python and deep learning libraries (PyTorch, TensorFlow).Expertise in building scalable and maintainable CV algorithms.Take the next step towards an exciting career by clicking the "Apply" button. We look forward to hearing from you!

Opportunity to Join a stealth AI Video Start-up.Role: Founding ML Engineer Location: Berlin (Hybrid)Salary: Upto 130,000Product: AI for ads, replacing the manual production with fully automated, AI-generated content that actually performs.What You’ll Build:Multimodal GenAI systems that turn product descriptions, customer data, or ad briefs into complete video ads—script, visuals, voice, music, and timing.Text-to-video generation pipelines integrating LLMs, diffusion models, and TTS for coherent, on-brand storytelling.Realistic lip-synced avatars and voiceovers to humanize product messaging—matching tone, pacing, and emotion.Automated editing and scene composition tools (e.g. camera motion, transitions, overlays) guided by AI and ad performance data.Scalable ML infrastructure to train, deploy, and serve GenAI models in production.Ideal Experience:Minimum 5 years AI/ ML Experience2+ years relevant GenAI experienceIdeally you have End-to-end experience with multimodal AI; LLMs + diffusion models + audio/video synthesis