Senior Machine Learning Engineer- Remote (US based)

Thorn is a nonprofit dedicated to defending children from sexual exploitation and abuse. As a Senior ML Engineer, you will build, deploy, and maintain machine learning models to help eliminate child sexual exploitation by enhancing Thorn's capabilities in identifying and preventing abuse.

Responsibilities:

• Own end-to-end model development: design, build, test and maintain machine learning systems and algorithms
• Identify data sourcing and labeling needs for your work, partnering with the Sr. Technical Program Manager to ensure data requirements are visible and prioritized
• Work closely with specialists at Thorn to create data labeling guides and support labeling efforts. This may involve engaging with sexually explicit material that is not child sexual abuse material
• Review system design/code in close collaboration with other ML Engineers
• Collaborate with engineers on product teams to maintain and deploy models, algorithms, and model serving infrastructure
• Clearly communicate and document problem formulation, feature design, training, and evaluation results to technical and non-technical audiences
• Build relationships and collaborate with external partners
• Present technical work at conferences and other external forums, representing Thorn and sharing insights with the community
• Identify novel solutions for solving online child safety problems. Stay abreast of technical developments and breakthroughs with an eye towards applying solutions to our issue space
• Collaborate with product managers, designers, and product owners to define scope of work and drive understanding of user needs
• Conduct data analysis as needed to improve cross-functional understanding
• Collaborate with product and engineering in pre-planning/planning sessions, software design, and model development sessions
• Collaborate with UX to engage with users, translating user needs into features and deliverables

Requirements:

• You have a commitment to putting the children we serve at the center of everything you do
• You have a willingness to learn about online child safety and victim identification
• You have 5+ years background in machine learning and/or artificial intelligence
• You also have a Ph.D or master's degree in a quantitative field, or equivalent professional experience
• You have experience in designing and building machine learning systems and pipelines for production
• You have experience deploying computer vision and/or natural language processing in production
• You have an ability and interest in learning new technologies quickly
• You can work with ambiguity, shifting requirements, and collaborate with cross-functional internal and external stakeholders
• You have a passion for machine learning and an aptitude to work in a collaborative environment, can demonstrate empathy for your team and strong advocacy for our users, while balancing the vision and technical constraints of engineering
• You communicate clearly, efficiently, and thoughtfully. We're a highly-distributed team, so written communication is crucial