Staff Machine Learning Engineer

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $171k - $235.8k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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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

• Design, build, deploy, test, and maintain machine learning systems, models, classifiers, algorithms, and pipelines • Serve as a machine learning expert and provide guidance across legal, engineering, product, business development, and external affairs teams • Build automated solutions to identify child sexual abuse victims, enable removal of abusive material, and prevent online abuse • Ensure high-quality work and mentor other ML Engineers • Lead machine learning system designs, establish engineering standards, lead technical meetings, and mentor engineers • Debug, conduct code reviews, and support machine learning initiatives • Define data sourcing and labeling strategies and identify future data needs • Create data-labeling guides and support labeling efforts, potentially involving sexually explicit material • Identify cross-team dependencies and technical risks; define architectural guardrails and best practices for scalability and reliability • Represent Thorn at conferences and external forums as a technical thought leader • Collaborate with engineers, product managers, product owners, and designers to define requirements, scope, user needs, features, and deliverables • Maintain and deploy models, algorithms, and model-serving infrastructure • Improve the innovation-to-impact cycle across products, academic collaborations, and external partnerships • Build relationships and collaborate with external partners • Improve systems, author tools, and introduce policies and patterns to raise team productivity • Communicate and document problem formulation, feature/model design, training, and evaluation results to technical and non-technical audiences • Identify new problem spaces in online child safety and apply relevant technical developments • Drive roadmap planning and maintenance versus feature-development cadence • Conduct data analysis as needed • Collaborate with Product and Engineering during planning, software design, model development, and time-sensitive customer support

🎯 Requirements

• Commitment to putting the children Thorn serves at the center of everything • Willingness to learn about online child safety and victim identification • 8+ years of experience in machine learning and/or artificial intelligence • 3+ years of experience building production-scale computer vision and/or NLP machine learning systems and pipelines • Ph.D. or master’s degree in a quantitative field, or equivalent professional experience • Ability and interest in learning and adopting new technologies quickly • Ability to work with ambiguity and shifting requirements • Experience collaborating with cross-functional internal and external stakeholders • Passion for machine learning and aptitude for collaborative work • Empathy for the team and strong advocacy for users • Ability to identify unique opportunities and translate them into scalable solutions • Clear, efficient, and thoughtful communication; strong written communication • AWS • Python • Pandas • PyTorch • scikit-learn/scipy • Terraform • CI/CD Pipelines • TensorFlow with Keras • Hugging Face Transformers/Diffusers • OpenCV • FAISS or other vector stores • ONNX/onnxruntime • Kubernetes

🏖️ Benefits

• Remote-first work model, working from home most of the time • Company-wide gatherings • In-person team meetings and team-building events • Attendance at specific conferences • Broad range of employee benefits (details provided via Thorn careers page) • Reasonable accommodations for candidates and employees with disabilities