Requirements
- Solid Infrastructure background with 1+ years of industry ML Engineering & systems experience.
- Background in Machine Learning and related fields (the equivalent of B.S. degree or above in Computer Science, Electrical Engineering, Machine Learning, Operation Research, Statistics, Data Science or related engineering fields).
- Practical experience designing & architecting large scale machine learning systems.
- Strong engineering and coding skills, with ability to write high performance production code. Proficiency in Java, Python, Scala, and/or other equivalent languages.
- You have built distributed services with technologies such as Docker, Kubernetes, Spark etc.
- Hands-on experience in Machine learning frameworks & technologies such as Tensorflow / TFX, Pytorch, Kubeflow.
- Preferred proficiency with data pipelines in Spark.
- Preferred proficiency in developing ML infrastructure at a scale
- Experience with streaming data and its application to ML solutions is a plus.
- You have strong analytical and quantitative skills.
- Strong collaboration skills as well as both verbal and written communication skills.
What you’ll be working on
This is a contract position for a Sr. Software/ML Engineer reporting to the Senior Engineering Manager, ML Feature Systems.