Lead end-to-end ML system development and provide technical leadership and mentorship across teams. Responsibilities include model design, data sourcing and labeling strategy, model serving and deployment, defining architectural guardrails, cross-functional collaboration with product and engineering, external partnership, and representing Thorn externally. Requires 8+ years in ML/AI, with 3+ years building production-scale computer vision and/or NLP systems; advanced degree or equivalent experience.

Thorn is hiring a Senior Software Engineer for its Victim Identification team to build and maintain scalable production systems used by global law enforcement partners. The role involves taking ownership of significant features and system components, designing and implementing reliable solutions, participating in on-call rotations and incident response, conducting code reviews, mentoring teammates, and collaborating closely with Product. Key technologies listed include Python, TypeScript/React, AWS, Terraform, Docker/Kubernetes, Elasticsearch, PostgreSQL, and Datadog. This is a remote, US-based role with an estimated salary range of $129,000–$178,250/year.

Thorn seeks a Staff Engineer to lead complex, multi-system initiatives within the Safer product area. The role requires substantial experience building and operating backend services in production (including Python), hands-on Kubernetes experience, cloud production experience, and responsibilities spanning architecture, coding, incident response/on-call, and mentoring. Compensation range provided: $150,000–$207,000/year.

Thorn seeks a Senior ML Engineer to own end-to-end model development and deployment for computer vision and natural language tasks that support victim identification, content removal, and abuse prevention. The role is remote (US-based), involves some travel, and requires at least 5 years of ML/AI experience and experience deploying production ML systems. Technologies listed include Python, PyTorch, TensorFlow/Keras, Hugging Face, FAISS, ONNX, Kubernetes, AWS, Terraform, CI/CD, OpenCV, and related tooling.

Provide technical guidance and day-to-day support for customers using Thorn products (Safer, Thorn Detect), including onboarding, troubleshooting, escalation to Product/Engineering, maintaining documentation, and participating in an on-call rotation. Role is remote (US-based) and may require occasional travel; uses technologies such as Docker, Kubernetes, Terraform, Node.js, Python, TypeScript, AWS/GCP, messaging systems, PostgreSQL, and Elasticsearch.