Data Scientist

Senior Applied Scientist – Computer Vision & Machine Learning 100% Remote (Brazil-Based) | US-Based Company | Paid in USD/hour | PJ Contract

We are hiring for

The RealReal , a leading US-based luxury resale and eCommerce company transforming how high-end fashion is bought and sold.

Our

Inbound Team

builds highly scalable Machine Learning and Computer Vision systems to determine item attributes (color, material, style) and verify merchandise authenticity at scale. We are looking for a

Senior Applied Scientist

to own the development and deployment of ML solutions and influence the technical direction of the team.

What You’ll Do

Develop and deploy

Computer Vision and Machine Learning

solutions to solve high-impact business problems Build clean, efficient, and scalable production-grade code Analyze large-scale datasets to extract actionable insights Apply state-of-the-art ML methodologies (CNNs, Transformers, GANs, etc.) Design and manage experimentation frameworks (A/B testing, feature engineering, training/serving pipelines) Own key system components and influence architectural decisions Partner closely with Product, Engineering, and Tech Leads Mentor other team members and elevate technical standards Contribute to intellectual property through patents and publications

Minimum Qualifications

5+ years of industry experience in

Computer Vision and Applied Machine Learning Master’s degree or PhD in CS, ML, Statistics, or related field — or 8+ years of equivalent industry experience 3+ years building, deploying, and managing ML/DL models in production at scale Deep understanding of CV & ML techniques (CNNs, Transformers, GANs, optimizers, regularization) Strong knowledge of experiment design & best practices (A/B testing, feature engineering, pipelines) Strong Python expertise Extensive experience with scientific & ML libraries (NumPy, Pandas, PyTorch, TensorFlow, Keras, Scikit-Learn) Strong data engineering skills with large-scale datasets Experience with experiment automation tools (Ray Tune, Weights & Biases, Kubeflow) Experience with cloud platforms (AWS, GCP, or Azure)

⭐ Preferred Qualifications

PhD in CS, ML, AI, Statistics, OR, or related field Experience applying ML in retail or real-world business contexts Familiarity with MLOps pipelines and tooling Strong ownership mindset and impact orientation

Work Model

100% Remote (Brazil-based candidates only) Contractor (PJ) Paid in USD/hour Global, highly technical team

This is a role for someone who not only builds high-quality ML models, but also influences direction, mentors others, and drives real business impact at scale.