Senior Machine Learning Engineer

About the role

• We’re currently looking for Senior Machine Learning Engineers to help us scale our software suite artemis.solar

What you'll do

• 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.

Qualifications

• 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.

What we offer

• Professional development through courses, seminars, and certifications.
• Annual tech allowance.
• Health benefits.
• Stock options.
• Paid time off and vacations.
• Fully remote work.

If you are passionate about machine learning projects to help accelerate renewable energies, looking for growth opportunities, and eager to face exciting challenges in a dynamic startup environment, we’d love to hear from you.