Staff Machine Learning Engineer - Trust Screenings

September 17

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5001 - 10000

💰 Post-IPO Equity on 2020-12

Description

• Work with large scale structured and unstructured data, building and improving Machine Learning models. • Collaborate with various business functions to stop physical safety incidents in real time. • Create new detection strategies by collaborating with other trust and safety teams. • Work with cross-functional partners to identify business impact opportunities. • Hands-on development, productionize, and operate Machine Learning models and pipelines at scale.

Requirements

• 8+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields. • A Bachelor’s, Master’s or PhD in CS/ML or related field. • Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills. • Deep understanding of Machine Learning best practices, algorithms, and domains. • Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive). • Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models. • Exposure to architectural patterns of large, high-scale software applications. • Experience with test driven development, A/B testing, incremental delivery and deployment. • Experience with the Trust and Risk domain is a plus.

Benefits

• Base pay dependent on skills, experience, business needs, and market demands. • Eligible for bonus, equity, benefits, and Employee Travel Credits.