Senior Machine Learning Engineer

Job not on LinkedIn

🕒 Yesterday

🇺🇸 United States – Remote

💵 $154k - $212.8k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Thorn

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

🤝 Non-profit

🌍 Social Impact

🔒 Cybersecurity

💰 Venture Round on 2017-01

Non-profit • Social Impact • Cybersecurity

Thorn is a nonprofit organization dedicated to making the internet safer for children and defending them from sexual abuse. Founded in 2012, Thorn creates and implements technology solutions to identify and remove child sexual abuse material (CSAM) and assist in the identification of victims. In addition to providing resources for youth, parents, and platforms, Thorn engages in cutting-edge research on online threats and opportunities for safety. The organization is committed to empowering individuals and businesses to protect children and has partnered with companies like Slack to enhance online safety protocols. Thorn also influences policy and supports the prevention of online child exploitation through education and awareness campaigns.

📋 Description

• Build, deploy and maintain world class models, classifiers and algorithms • Own end-to-end model development: design, build, test and maintain machine learning systems and algorithms • Work closely with specialists to create data labeling guides and support labeling efforts • Collaborate with product teams to maintain and deploy models, algorithms, and model serving infrastructure • Present technical work at conferences and external forums • Identify novel solutions for solving online child safety problems

🎯 Requirements

• 5+ years background in machine learning and/or artificial intelligence • Ph.D or master's degree in a quantitative field, or equivalent professional experience • Experience designing and building machine learning systems and pipelines for production • Experience deploying computer vision and/or natural language processing in production • Ability and interest in learning new technologies quickly • Ability to work with ambiguity, shifting requirements, and collaborate with cross-functional internal and external stakeholders • Clear, efficient, and thoughtful communication skills

🏖️ Benefits

• Remote-first work model • Opportunities for professional growth and development