Senior Machine Learning Engineer

Monalee is a venture-backed climate tech company on a mission to accelerate the adoption of home solar, storage, and EV charging. They are seeking a Senior Machine Learning Engineer to design and implement deep learning models, develop machine learning pipelines, and optimize models for real-time inference.

Responsibilities:

• 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

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
• 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
• a master's degree or relevant research experience
• Experience with geospatial data, including photogrammetry, LiDAR, or satellite imagery