3 Timesformer Jobs

As a member of ClearTrail, you will be part of a team where work transcends beyond being just a job. Our mission is to create solutions that empower those committed to ensuring the safety of individuals, locations, and communities. With over 23 years of experience, law enforcement and federal agencies worldwide rely on ClearTrail as their dedicated partner in protecting nations and enhancing lives. We are at the forefront of shaping the future of intelligence gathering through the development of artificial intelligence and machine learning-based solutions for lawful interception and communication analytics. Our focus is on addressing the world's most complex challenges by leveraging cutting-edge technologies. Your primary responsibility will involve developing and training machine learning models that integrate drone, satellite, and real-time video data to achieve advanced visual comprehension. Key tasks include building ML/DL models for image and video classification, segmentation, and spatiotemporal analysis, as well as creating fusion methods to align and merge satellite, drone, and ground footage. You will be expected to apply various techniques such as multi-scale learning, temporal modeling (e.g., 3D CNNs, transformers), and sensor fusion, along with conducting model evaluation and optimization across diverse data sources. To excel in this role, you must possess strong Python programming skills and proficiency in data manipulation using libraries like NumPy, Pandas, and SciPy. Additionally, you should be well-versed in vision/model libraries such as MMDetection, Detectron2, and OpenCV, and have experience in deep learning frameworks like PyTorch and TensorFlow, particularly in video models like TimeSformer, SlowFast, I3D, and Yolo. Familiarity with satellite/drone geospatial fusion, GPS/IMU metadata, scene alignment, time series analysis, motion tracking, and optical flow techniques will be advantageous. Knowledge of remote sensing libraries like Rasterio, GDAL, GeoPandas, and xarray will also be beneficial for this role. Join us at ClearTrail and be part of a dynamic team dedicated to creating innovative solutions that make a real difference in the world of intelligence and security.,

You will be working at ClearTrail, where the focus is on developing solutions to empower organizations dedicated to ensuring the safety of their people, places, and communities. With over 23 years of experience, ClearTrail has been a trusted partner for law enforcement and federal agencies worldwide in safeguarding nations and enriching lives. As part of the team, you will contribute to the future of intelligence gathering by creating artificial intelligence and machine learning-based lawful interception and communication analytics solutions to address some of the world's most challenging problems. Your role will involve developing and training machine learning models that leverage drone, satellite, and real-time video data for complex visual understanding tasks. You should have a minimum of 10-12 years of relevant experience for this position. Key responsibilities of the role include: - Building machine learning and deep learning models for image and video classification, segmentation, and spatiotemporal analysis. - Developing fusion methods to align and combine data from satellite, drone, and ground footage. - Applying advanced techniques such as multi-scale learning, temporal modeling (e.g., 3D CNNs, transformers), and sensor fusion. - Conducting model evaluation and optimization across various data sources. Essential skills for this role include: - Strong proficiency in Python coding and data manipulation using libraries such as NumPy, Pandas, and SciPy. - Expertise in vision/model libraries like MMDetection, Detectron2, and OpenCV. - Deep learning experience with PyTorch, TensorFlow, and video models such as TimeSformer, SlowFast, I3D, and Yolo. - Knowledge of satellite/drone geospatial fusion, GPS/IMU metadata, and scene alignment. - Familiarity with time series analysis, motion tracking, and optical flow using tools like RAFT and FlowNet. - Understanding of remote sensing libraries such as Rasterio, GDAL, GeoPandas, and xarray. If you are passionate about leveraging machine learning and artificial intelligence to address complex challenges in intelligence gathering, this role at ClearTrail offers an exciting opportunity to make a meaningful impact.,

You will be responsible for developing and training machine learning models that leverage drone, satellite, and real-time video data to tackle complex visual understanding tasks. Your primary focus will be on building ML/DL models for image and video classification, segmentation, and spatiotemporal analysis. Additionally, you will be tasked with developing fusion methods that align and merge data from satellite, drone, and ground footage sources. To excel in this role, you must have a minimum of 10-12 years of relevant experience. You should possess strong Python coding skills along with expertise in data manipulation using libraries such as NumPy, Pandas, and SciPy. Proficiency in vision/model libraries such as MMDetection, Detectron2, and OpenCV is essential. Moreover, you must have hands-on experience in deep learning frameworks like PyTorch and TensorFlow, particularly in developing video models with TimeSformer, SlowFast, I3D, Yolo, among others. Your expertise should extend to satellite/drone geospatial fusion, GPS/IMU metadata, and scene alignment. Familiarity with time series analysis, motion tracking, and optical flow techniques (e.g., RAFT, FlowNet) is beneficial. In addition, knowledge of remote sensing libraries like Rasterio, GDAL, GeoPandas, and xarray will be advantageous for this role. Your responsibilities will also include model evaluation and optimization across various data sources, ensuring the delivery of high-quality solutions that contribute to the future of intelligence gathering.,