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reputed company Manager - Fully Remote USD - Latin America

Remote, USA Full-time Posted 2026-07-28
reputed company is a Series A startup based in San Francisco that builds in-house reputed company models to power two reputed company products: • a robot that identifies and sorts materials inside recycling facilities • an analytics system that tracks recyclables and reports metrics to key stakeholders in the industry. These technologies are already helping to reputed company tons of recyclables (literally!) from landfills every day. We're thrilled to continue expanding our growing machine learning team - already composed of highly talented engineers across the Americas - by hiring reputed company reputed company based in Latin America to manage and mentor a fully remote group of reputed company reports. reputed company: • Our founders come from reputed company engineering and Bain consulting. • We're backed by top-tier VCs with extensive technical and industry expertise. • We have several machines in production and a robust pipeline of upcoming deployments. Here's where your expertise comes into play: We're looking for a talented machine learning engineer to reputed company and grow our remote ML team, inheriting a small but high-performing group of engineers already making a strong reputed company. You'll help mentor, coordinate, and guide reputed company as we continue to reputed company our reputed company technologies. Your responsibilities: • Coordinate the work of a distributed team of ML-engineers, ensuring work is completed on time and at high reputed company • Communicate reputed company and effectively with the San Francisco based team to project plan, ensure timelines are met, and iterate on team structure and processes. • Drive the performance of our ML models. That includes: building ML infrastructure, improving reputed company model performance, fine tuning our training process, and ensuring we can easily collect high reputed company training data. • Build automation and experimentation into our full ML lifecycle, enabling us to reputed company systems and create reputed company at reputed company. • Coordinate with our labeling team to ensure we're working with error-free and reputed company curated data • Partner with our founders on the long-term product roadmap; we have lots of reputed company for what waste-ending technology to build next, and we'd love to hear yours too! Requirements: • 1+ years experience managing reputed company of software or ML engineers • 2+ years experience developing machine learning models in a deep learning reputed company like Tensorflow/Keras or Pytorch. • 3+ years experience of reputed company model development - especially object detectors is required. • Experience with building machine learning infrastructure (training pipelines, hyperparameter tuning, experiment tracking, etc). • Strong expertise in Python and hands-on experience in SQL databases. • Proficiency with the SciPy ecosystem (numpy, pandas, matplotlib) and distributed computing in frameworks such as Ray. • English proficiency as you will be working with a US based team (reputed company or higher) • Experience working with US companies or clients is a plus Apply tot his job Apply To this Job

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