Senior Machine Learning Engineer
MONA
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
deep learning3D computer visionobject detectionsegmentationdepth estimationmachine learning pipelinesmodel trainingmodel evaluationreal-time inferencedata preprocessing
Soft Skills
documentationcode reviewstechnical discussionsperformance analysisretraining strategies
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in EngineeringBachelor’s degree in MathematicsMaster’s degree (preferred)