MONA
Sophisticated, modern and high quality – MONA.
Senior Machine Learning Engineer
Location
United States
Posted
9 days ago
Salary
Not specified
Bachelor Degree4 yrs expEnglishAWSCloudDockerFlaskGoogle Cloud PlatformPythonPy TorchTensorflow
Job Description
• Design and implement deep learning models for 3D computer vision tasks, including object detection, segmentation, and depth estimation.
• Develop and maintain end-to-end machine learning pipelines encompassing data preprocessing, model training, evaluation, and deployment.
• Optimize models for real-time inference and deploy them using cloud platforms such as AWS SageMaker or GCP Vertex AI.
• Monitor deployed models, analyze performance metrics, and implement retraining strategies to ensure sustained accuracy and reliability.
• Document methodologies, experiments, and findings; actively participate in code reviews and technical discussions.
• Stay abreast of the latest research and advancements in machine learning and computer vision to inform model development.
Job Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; a master’s degree or relevant research experience is preferred.
- Minimum of four years of experience in developing and deploying machine learning models, with at least two years focused on computer vision applications.
- Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow; familiarity with models like DINOv2, ViTs, or SAM.
- Hands-on experience deploying ML models on cloud platforms (e.g., AWS, GCP) and building containerized services using Docker and Flask/FastAPI.
- Familiarity with data annotation tools and labeling strategies for supervised learning; understanding of data management best practices.
- Experience with geospatial data, including photogrammetry, LiDAR, or satellite imagery, is a plus.
Benefits
- Professional development through courses, seminars, and certifications.
- Annual tech allowance.
- Health benefits.
- Stock options.
- Paid time off and vacations.
- Fully remote work.