- a robot that identifies and sorts materials in recycling facilities
- an analytical system that monitors recyclables and provides insights to stakeholders in the industry.
- Founded by individuals with a background in Facebook engineering and Bain consulting.
- Backed by reputable VCs with strong technical and industry knowledge.
- Currently have operational machines and a promising pipeline for future projects.
- Optimize the performance of ML models by enhancing infrastructure, refining existing models, adjusting training procedures, and ensuring the acquisition of top-notch training data.
- Incorporate automation and experimentation throughout the ML lifecycle to facilitate large-scale system deployment and impact creation.
- Collaborate with the labeling team to guarantee the utilization of accurate and well-organized data.
- At least 2 years of experience in developing ML models using frameworks like TensorFlow/Keras or PyTorch.
- Proficiency in computer vision model development, particularly object detectors, is highly desirable.
- Hands-on experience in constructing ML infrastructure (training pipelines, hyperparameter tuning, experiment tracking, etc).
- Strong skills in Python and practical knowledge of SQL databases.
- Familiarity with the SciPy ecosystem (numpy, pandas, matplotlib) and distributed computing using frameworks like Ray.
- Fluency in English is essential due to collaboration with a US-based team (B2 level or higher).
- Experience with US companies or clients is advantageous
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Computer Vision Engineer - Brazil, Brasil - Glacier
Descrição
Glacier is a seed-stage startup based in San Francisco that specializes in developing in-house computer vision models for:
These innovative technologies play a key role in diverting a significant amount of recyclable materials from ending up in landfills on a daily basis.
About the Company:
Your Role:
The team is seeking a skilled machine learning engineer to contribute to the development of their groundbreaking technologies. Responsibilities include training and constructing computer vision models for upcoming projects, as well as aiding in the creation of infrastructure and tools to expedite processes.
Your Tasks:
Qualifications:
