Staff Machine Learning Engineer

At Thorn, our cause is our code. We are a nonprofit whose mission of defending children from sexual exploitation and abuse is deeply embedded within our core—a shared code that drives us to do challenging work with resilience and determination. Here, you’ll work and grow among the best hearts and the best minds in tech, data, and business alongside our network of independent partners, NGOs, and law enforcement agencies. Together, we’re focused on building technology that protects children’s futures. We are looking for dynamic problem solvers with the desire to help address some of today’s toughest issues. You'll collaborate with a diverse group of peers in a remote environment centered on wellness, care, and compassion. In 2019, we took the stage at TED and shared our audacious goal of eliminating child sexual abuse material from the internet. Come join us to help make this goal a reality and build a world where every child can be safe, curious, and happy. About the Role As a Staff ML Engineer at Thorn, this role will design, build, deploy and maintain world class models, classifiers and algorithms to increase Thorn’s capabilities to achieve our mission of the elimination of child sexual exploitation. They will be the go-to expert in one or more domains of machine learning and provide critical guidance to multiple teams across legal, engineering, product, business development and external affairs. They will directly contribute to the Machine Learning team’s critical function in Thorn’s mission - building automated solutions that: Reduce the time it takes to identify a child sexual abuse victim, elevating the most vulnerable and high risk victims from an ocean of online content Enable the removal of child sexual abuse material from the internet, finding known and new content Prevent online abuse from happening in the first place, detecting abusive content before it spreads They are responsible for ensuring that their work is high quality, as well as mentoring other ML Engineers. They will thrive in highly ambiguous problem spaces and be able to creatively design and build scalable solutions with minimum direction. They will demonstrate persistence and strong technical expertise to navigate legal, product, and technical constraints. They are responsible for partnering with the engineers, product manager and designers across different products to drive requirements, as well as any and all relevant external partners, taking into account all stakeholder needs. What You’ll Do Own end-to-end model development: design, build, test and maintain machine learning systems and algorithms Lead machine learning system designs, set engineering standards, lead technical  meetings and proactively engage and mentor other engineers Help debug, do code review, and support general machine learning initiatives led by other members of the Machine Learning team. Define data sourcing and labeling strategy for your technical domain, proactively identifying future data needs and partnering with the Sr. Technical Program Manager to drive planning and prioritization 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 Look for opportunities to streamline and reuse work, proactively identifying cross-team dependencies. Anticipate technical risks across ML systems, define architectural guardrails, establish best practices for scalability and reliability Represent Thorn as a technical thought leader at conferences and other external forums, advancing the field and strengthening strategic partnerships Collaborate with engineers, product managers, product owners, and designers to drive requirements, define scope of work, engage with users, and translate user needs into features and deliverables Collaborate with engineers on product teams to maintain and deploy models, algorithms and model serving infrastructure Look for opportunities, in collaboration with the Sr. Technical Program Manager,  to improve the innovation -> impact cycle across product, academic collaborations, and other external partnerships Build relationships and collaborate with external partners Look for opportunities to improve systems, author tools and introduce policies/patterns that raise productivity for the Machine Learning team Clearly communicate and document problem formulation, feature/model design, training, and evaluation results to technical and non-technical audiences Identify new problem spaces within online child safety. Stay abreast of technical developments and breakthroughs with an eye towards applying solutions to our issue space. Drive roadmap planning and cadence of maintenance vs. new feature development for your areas of ownership Conduct data analysis as needed to improve cross-functional understanding Collaborate closely with Product and Engineering during planning, software design, model development, and time-sensitive customer support efforts. What We’re Looking For 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 8+ years background in machine learning and/or artificial intelligence, with 3+ years experience in building production-scale computer vision and/or NLP machine learning systems and pipelines  You have a Ph.D or master’s degree in a quantitative field, or equivalent professional experience.  You have an ability and interest in learning and adopting 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 our team and strong advocacy for our users, while balanci