The opportunity
The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take…
What you'll do
Take state of the art models developed internally and from the community, use: them in production to solve problems for our customers and taskers
Improve and maintain production models through retraining, hyperparameter: tuning, and architectural updates, while preserving core performance characteristics
Collaborate with product and research teams to identify and prototype: ML-driven product enhancements, including for upcoming product lines
Work with massive datasets to develop both generic models as well as fine tune models for specific products
Build scalable machine learning infrastructure to automate and optimize our ML services
Serve as a cross-functional representative and advocate for machine learning: techniques across engineering and product organizations
What they're looking for
- Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment
- Comfortable with light travel (approximately 10%) for customer interaction and team needs
- + years of experience building and deploying applied ML systems in production environments
- Extensive experience with GenAI, Agentic AI, natural language processing,: deep learning and deep reinforcement learning, or computer vision in a production environment
