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HUMAN was founded in 2012 in a Brooklyn sci-fi bookstore by Tamer Hassan, Michael Tiffany, Dan Kaminsky, and Ash Kalb. Our humble beginnings led to the creation of the Human Defense Platform, the backbone of all our products that safeguards enterprises from sophisticated bot attacks, fraud, and account abuse. Today we verify the humanity of more than 20 trillion interactions per week for some of the largest companies and internet platforms. Our hacker roots still permeate everything we do. You will be a part of the HUMAN front line in our commitment to helping protect companies (and in turn, their customers) from both revenue and reputation risk caused by malicious bots. However, HUMAN is not the center of this story. Humans like yourself are. We firmly believe in putting people first. This approach spans our extensive total rewards package, inclusive of competitive compensation, benefits, stipends - as well as our day-to-day culture - to ensure every human is empowered to do the best work of their life. We want to hear about the marathon you’re training for. We want to see pictures of your pets. We want to know your favorite robot (we have many). The HUMAN R&D team is pivotal to our mission. They are the ones uncovering and fighting bot operations like PARETO, ICEBUCKET, 3ve, and Methbot. HUMAN supports our R&D humans by strongly valuing deep work and flexibility. HUMAN is fully committed to flexible working arrangements to ensure our humans are able to do the best work of their lives. We want to work with people like you who break down problems to build up better solutions. That’s what makes us HUMAN. You’ll be joining us at an exciting moment in the HUMAN story: we joined forces with PerimeterX in a market-changing merger, as well as recently acquired clean.io to enhance the Human Defense Platform. Together under the HUMAN brand, we will disrupt the economics of cybercrime. We hope you can join us in that mission. We are seeking a dedicated Senior Data/Machine Learning Engineer who possesses a deep understanding of cloud technologies, big data, and machine learning algorithms to become an integral part of our data engineering team.In this position, you will take on the full spectrum of responsibilities for building the infrastructure of our machine learning pipeline, which involves handling both structured and unstructured data within significant data streams. Your primary role will involve collaborating closely with our data science team to create a robust infrastructure for seamlessly incorporating machine learning models into our systems.Our Technologies stack: Python, Golang, VertexAI, Airflow, BigQuery, Snowflake, GCP, Docker, Kafka, MongoDB, Redis, and more.
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