Engineering at Make the Dot

We are looking for a strong machine learning engineer to build, deploy, and maintain cutting-edge ML features that power our fashion design platform. Along the way, we will share our knowledge on manufacturing and empower you to become a clothing expert! You will work to improve the core components of our ML stack and play a critical role in designing and deploying new ML solutions.

What You’ll Work On

Fashion design is deeply creative yet highly technical. Our users span from junior designers to creative directors and fashion design students. Building tools that meet their diverse needs is both challenging and rewarding.

• Develop, fine-tune, and deploy ML models (generative AI, computer vision, image processing).
• Build and maintain scalable model training, model evaluation pipelines and monitoring systems.
• Develop and maintain robust APIs for serving machine learning models
• Optimize model inference for latency and resource efficiency.
• Ensure high availability and reliability of model serving infrastructure
• Stay up to date with latest ML advancements relevant to the fashion and design domain.

What We’re Looking For

• Strong Python proficiency with libraries like PyTorch and TensorFlow
• Experience deploying ML models using FastAPI, Flask, or similar frameworks.
• Experience with using inference frameworks (Triton)
• Familiarity with MLOps tools and concepts (model versioning, experiment tracking, containerization).
• Background in computer vision, generative models, or related fields.
• Ability to write production-quality code with testing and CI/CD.
• Comfortable working cross-functionally with product and engineering teams.
• Knowledge of cloud infrastructure (AWS, GCP)

Nice to haves