Senior Machine Learning Engineer - Content Understanding

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

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:

• Apply state of the art models developed internally and from the community, use them in production to solve problems for our customers and data labelers. 
• Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines.
• Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.

Ideally you’d have:

• 3+ years of model training, deployment and maintenance in a production environment.
• Strong skills in computer vision, NLP, or deep learning.
• Solid background in algorithms, data structures, and object-oriented programming.
• Strong programing skills in Python, experience in Tensorflow or PyTorch.
• Strong written and verbal communication skills. 

Nice to haves:

• Experience with deep learning with large scale video processing. 
• Published research in areas of machine learning at major conferences and/or journals. 
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Experience working on recommendation engines