Jobs
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Machine Learning Engineer, Detection and Tracking”. A match may be a passing mention rather than the job itself. Titles only.
538 roles · group by role · page 1 of 22
…The role You will own the detection and tracking models that power Helsing's products — training, tuning, and deploying models against US-specific datasets…
…effective, and manufacturable at scale Design and deploy machine vision systems for automated inspection — including cosmetic inspection, defect detection, dimensional verification, and barcode/label…
…You will work closely with Applications Engineering, CAM Operations, Software Engineering, and Robotics to push the boundaries of machining at scale and are looking…
…of engineering management experience leading machine learning engineering teams in production, with strong technical depth and experience in machine learning, computer vision (detection/segmentation…
…Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC…
…applying and evaluating machine learning models. Experience working with safety-critical systems. Experience in the automotive, robotics, or AI industries. A track record of…
…You will work at the intersection of machine learning, distributed systems, and data engineering — owning end-to-end development of tools that help business…
…You will work at the intersection of machine learning, distributed systems, and data engineering — owning end-to-end development of tools that help business…
The Music Catalog Quality team is seeking a passionate and talented Machine Learning Engineer (MLE) to join us. The Music Catalog Quality team is…
…Other responsibilities include: - Collaborate with scientists, engineers, and product managers to define and frame business problems as ML or optimization tasks. - Use machine learning…
…Design, train, and deploy machine learning models for Optical Systems applications Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference…
…Design, train, and deploy machine learning models for Optical Systems applications Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference…
…Design, train, and deploy machine learning models for Optical Systems applications Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference…
…Design, train, and deploy machine learning models for Optical Systems applications Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference…
…Design, train, and deploy machine learning models for Optical Systems applications Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference…
…digital forensics and incident response (DFIR), forensic investigation, or on-call security operations Detection engineering : Security Information and Event Management (SIEM) platforms, correlation rules…
…Design, train, and deploy machine learning models for Optical Systems applications Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference…
…detection. Engineering Mindset: A drive to build systematic, automated fixes rather than applying temporary patches. Strong grasp of CI/CD for machine learning pipelines…
…for senior machine learning and perception engineers to help define the state of the art in aircraft and obstacle detection and tracking — enabling our…
…or threat detection engines. Versatile, multi-faceted engineering mindset capable of seamlessly bridging data engineering, platform infrastructure, and DevOps functions. Track record of implementing…
…or threat detection engines. Versatile, multi-faceted engineering mindset capable of seamlessly bridging data engineering, platform infrastructure, and DevOps functions. Track record of implementing…
…Integrate advanced capabilities (e.g., machine learning–based anomaly detection and data validation) to enhance platform intelligence and insights. Implement robust monitoring, alerting, and…
…classification, and end-to-end lineage tracking. - Design and implement components of a low-latency data visualization platform for test engineers and satellite operators…
…Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Master's degree in…
…Understanding of cloud operations, incident management, service reliability engineering (SRE), change management, resiliency engineering, and operational risk management practices. Experience applying AI, machine learning…