Computer Vision

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 Machine Learning to help design and deploy advanced models in production environments.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)

Join a company pioneering frontier foundation models in 3D, image, and video. Role: Research Engineer/ Scientist Location: London/ Munich (No Remote must be based in either city)Salary: Highly Competitive Salary & Benefits on offer D.O.E Redefine how industries from robotics and AR/VR to gaming and film generate and interact with digital content. You will design and run experiments, implement cutting-edge research, and scale models into production. ResponsibilitiesDesign and run ablations and experiments to improve performance.Evaluate and implement research papers on large-scale data.Train and fine-tune 3D and image/video foundation models.Develop demos, optimise test-time inference, and productionise models. QualificationsBachelor’s, Master’s, or PhD in CS/ML or related field.Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX).Strong knowledge of generative models (diffusion, GANs, VAEs, transformers).Experience with large-scale model training and 3D representation learning (e.g., NeRF, Gaussian Splatting).

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

Job Title: MLOps EngineerWork Arrangement: RemoteLocation: Toronto, CanadaSalary: Up-to $125,000 CADMLOps Engineer – Real-Time AI SystemsWe're looking for an experienced MLOps Engineer to help deploy and scale cutting-edge ML models for real-time video and audio applications. You'll work alongside data scientists and engineers to build fast, reliable, and automated ML infrastructure.Key ResponsibilitiesBuild and manage ML pipelines for training, validation, and inference.Automate deployment of deep learning and generative AI models.Ensure model versioning, rollback, and reproducibility.Deploy models on AWS, GCP, or Azure using Docker and Kubernetes.Optimize real-time inference using TensorRT, ONNX Runtime, or PyTorch.Use GPUs, distributed systems, and parallel computing for performance.Create CI/CD workflows (GitHub Actions, Jenkins, ArgoCD) for ML.Automate model retraining, validation, and monitoring.Address data drift, latency, and compliance concerns.What You Bring3+ years in MLOps, DevOps, or model deployment roles.Strong Python and experience with ML frameworks (PyTorch, TensorFlow, ONNX).Proficiency with cloud platforms, Docker, and Kubernetes.Experience with ML tools like MLflow, Airflow, Kubeflow, or Argo.Knowledge of GPU acceleration (CUDA, TensorRT, DeepStream).Understanding of scalable, low-latency ML infrastructure.Nice to HaveExperience with Ray, Spark, or edge AI tools (Triton, TFLite, CoreML).Basic networking knowledge or CUDA programming skills.

Job Title: AI ResearcherWork Arrangement: HybridLocation: San JoseWe are seeking a talented Computer Vision AI Researcher with expertise in stable diffusion, diffusion models, GANs, NeRFs, and text-to-image/video synthesis.Key Responsibilities:Conduct pioneering research in computer vision, focusing on diffusion models and text-to-Image/videoDevelop advanced GAN architectures tailored for specific computer vision applications.Investigate NeRFs and related techniques to enhance 3D scene understanding.Drive advancements in text-to-image and text-to-video synthesis using deep learning methods.Collaborate closely with cross-functional teams to productise researchQualifications:Strong research background in stable diffusion, GANs, NeRFs, and text-to-image/video synthesis, evidenced by publications in top-tier conferences or journals.Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).Experience with large-scale data processing and model training.

Computer Vision Engineer – Hybrid Los Angeles – Up to $220k + Bonus + Equity Startup of 10+ engineers building next-stage real-time vision and sensing systems for defense and autonomy. Profitable and customer funded with no outside investment. Their platforms span digital terrain mapping, classical computer vision, and high performance signal processing, with hardware already deployed in the field. What You’ll Be DoingDesigning and implementing low-latency vision pipelines in C++ for mission-critical defense applications (e.g., region-of-interest tracking, camera calibration, sensor fusion).Collaborating closely with hardware teams to integrate cameras, IMUs, and other sensors on embedded platforms—pushing algorithms from prototype to production.Conducting field-testing (flight tests, desert range tuning) to validate and optimize real-world performance.Working on digital terrain modeling, object-tracking algorithms (drone-to-drone intercept, remote weapons platforms), and AR/display research.Writing reusable, well-documented code that ensures reliability under harsh conditions and tight real-time constraints.Must-Haves3+ years of professional experience developing C++ systems (preferably on Linux).Strong background in classical computer vision or signal processing (Kalman filters, ROI tracking, camera calibration, etc.).Comfortable working hands-on with sensors, cameras, and embedded hardware.Interest in field testing and tuning algorithms in live environments.U.S. Citizen or Green Card holder (required for defense-related work).Nice-to-HavesCUDA/OpenCL experience or other GPU-accelerated development.Prior work on SLAM or visual-inertial odometry for airborne or ground-robot platforms.Experience architecting software for long-range tracking (drones, aircraft, missiles).Familiarity with ROS, RTOS, or other robotics middleware.

Computer Vision Engineer – Hybrid Los Angeles – Up to $220k + Bonus + Equity Startup of 10+ engineers building next-stage real-time vision and sensing systems for defense and autonomy. Profitable and customer funded with no outside investment. Their platforms span digital terrain mapping, classical computer vision, and high performance signal processing, with hardware already deployed in the field. What You’ll Be DoingDesigning and implementing low-latency vision pipelines in C++ for mission-critical defense applications (e.g., region-of-interest tracking, camera calibration, sensor fusion).Collaborating closely with hardware teams to integrate cameras, IMUs, and other sensors on embedded platforms—pushing algorithms from prototype to production.Conducting field-testing (flight tests, desert range tuning) to validate and optimize real-world performance.Working on digital terrain modeling, object-tracking algorithms (drone-to-drone intercept, remote weapons platforms), and AR/display research.Writing reusable, well-documented code that ensures reliability under harsh conditions and tight real-time constraints.Must-Haves3+ years of professional experience developing C++ systems (preferably on Linux).Strong background in classical computer vision or signal processing (Kalman filters, ROI tracking, camera calibration, etc.).Comfortable working hands-on with sensors, cameras, and embedded hardware.Interest in field testing and tuning algorithms in live environments.U.S. Citizen or Green Card holder (required for defense-related work).Nice-to-HavesCUDA/OpenCL experience or other GPU-accelerated development.Prior work on SLAM or visual-inertial odometry for airborne or ground-robot platforms.Experience architecting software for long-range tracking (drones, aircraft, missiles).Familiarity with ROS, RTOS, or other robotics middleware.