Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming
Model code and data form the foundation of an AI system. Scale’s leading end-to-end solutions for the ML lifecycle based on real-world data will continue to set the bar for the data-centric AI movement.
We are looking for entrepreneurial Machine Learning Engineers to seed and grow our team. Your core focus will be on Content Understanding use cases - recommendations, discovery, marketplace trust & safety, etc. If you are excited about shaping the future of the data-centric AI movement, we would love to hear from you!
You will:
Ideally you’d have:
Nice to haves:
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
United States
2-4 year
San Francisco, CA, USA
4-6 year