Staff Machine Learning Engineer

🕒 September 4

🇺🇸 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.

👻 Ghost score 23%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 • Lead machine learning system designs and set engineering standards • Lead technical meetings and mentor other engineers • Debug, conduct code reviews, and support machine learning initiatives • Define data sourcing and labeling strategies and drive planning and prioritization • Create data-labeling guides and support labeling efforts, including potentially reviewing sexually explicit material that is not child sexual abuse material • Identify cross-team dependencies, technical risks, architectural guardrails, and scalability/reliability best practices • Represent Thorn as a technical thought leader at conferences and external forums • Collaborate with engineers, product managers, product owners, designers, and external partners to define requirements, scope, 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 with external partners • Improve systems, author tools, and introduce policies and patterns to increase team productivity • Communicate and document problem formulation, feature/model design, training, and evaluation results • Identify new problem spaces within online child safety and apply relevant technical developments • Drive roadmap planning and maintenance versus new feature development • Conduct data analysis • Collaborate with Product and Engineering on planning, software design, model development, and time-sensitive customer support

🎯 Requirements

• Commitment to putting the children Thorn serves at the center of everything you do • Willingness to learn about online child safety and victim identification • 8+ years background in machine learning and/or artificial intelligence • 3+ years 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, shifting requirements, and 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 • Experience or knowledge with 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, and 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 • Reasonable accommodations for candidates and employees with disabilities