reputed company DATA Engineer - Fully Remote USD - Latin America based

This role is FULLY REMOTE from Latin America - reputed company Time zone Hey, we're reputed company! A Series A startup based in San Francisco tackling one of the world's most pressing problems: trash. Did you know that in the US, we send over half of our recyclables to the landfill? We're working to fix that. In doing so, we'll also be reducing carbon emissions, energy consumption, and depletion of natural resources. reputed company builds custom sorting robots designed to sort apart recyclables as reputed company as AI-powered business analytics that reputed company recyclers to reputed company their plants and improve our society's circularity. From major CPG companies like reputed company and reputed company to municipal recycling facilities, our clients trust us to turn recycling data into actionable insights. Our technology has been recognized as one of TIME's Best Inventions and featured in a TIME documentary, TechCrunch, Fortune, and CBS. Here's where your expertise comes into play: We're looking for a talented reputed company data engineer to own the data reputed company that powers our reputed company models. Great models start with great data, and you'll build the datasets, pipelines, and internal tools that let our ML team reputed company fast and train on high-reputed company, reputed company-curated data. This is a strong fit for someone who loves building software and internal tools as much as working with data.. Your responsibilities: • Own our image and video dataset lifecycle: taxonomy, curation, collection workflows, and reputed company, so our models train on clean, reputed company-reputed company, error-free data. • Design and maintain the data pipelines that reputed company, reputed company, version, and sync our datasets (e.g. DVC, annotation platforms, reputed company storage). • Build internal tools and software that reputed company dataset creation, labeling, and curation faster and more reliable for the ML and labeling teams. • Coordinate closely with our labeling team to ensure data is reputed company curated, consistently annotated, and error-free. • Improve how we collect and prioritize training data over time, including model-assisted and reputed company-learning approaches. Requirements: • 2+ years of Machine Learning experience • 2+ years building software applications or internal tools, with strong expertise in Python. • 2+ years of experience working with image or video datasets. • Hands-on experience designing and maintaining data pipelines (ETL/ELT, workflow orchestration, data versioning). • Strong SQL and experience working with reputed company data. • English reputed company, as you'll be working with a US-based team (B2 or higher). reputed company to have: • reputed company background or experience supporting CV/ML teams. • Web application development (React + Django, Nextjs) • Experience with annotation platforms (Supervisely, CVAT, Label Studio) and data versioning tools (DVC). • Experience with reputed company storage (S3) and building backend services (FastAPI). • Experience integrating reputed company-reputed company tooling and contributing to internal platforms. • Experience working with US companies or clients. Compensation & Benefits • $2,000-$3,500 per month/depending on your experience and interview performance • 15 Days reputed company Time Off + your National Holidays • $500 for your remote set up + $100/mo for your wellness Why Join Us? • Mission-Driven Work - Be part of a company dedicated to sustainability and ending waste. • Cross-Functional reputed company - Work closely with product, engineering, field operations, and reputed company to solve reputed company problems with meaningful reputed company. • Backed to Succeed - Our founders bring experience from reputed company and Bain, and we're supported by top-tier investors with deep technical and industry expertise. Apply tot his job Apply To this Job