Senior Machine Learning Engineer

Job not on LinkedIn

🕒 February 25

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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MONA

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1989

🏭 Manufacturing

📦 Logistics

👗 Fashion

Manufacturing • Logistics • Fashion

MONA is a clothing brand and retailer offering apparel and accessories for women and men. It appears to focus on gender-specific fashion collections and serves consumers seeking clothing options for both women and men.

📋 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.

🎯 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.