Senior AI/ML Engineer

Role overview Lead the development of machine learning systems for processing digital evidence, with a focus on making automated results understandable, traceable, and suitable for scrutiny. As an early engineering hire, you’ll help shape the technical architecture and build the AI capabilities ahead of a planned product launch.

Responsibilities - Develop models for document analysis, evidence classification, and pattern recognition. - Create explainability features that make model decisions clear and auditable. - Build validation methods to assess model accuracy and defensibility. - Work with forensics and legal specialists to translate practical needs into technical requirements. - Establish documentation, audit trails, model versioning, monitoring, and performance tracking. - Contribute to architecture, compliance planning, and code reviews.

Requirements - At least five years developing machine learning systems for production use. - Strong Python skills and experience with PyTorch, TensorFlow, or similar frameworks. - Experience with explainable AI and model interpretability. - A track record of deploying models and working with cloud platforms such as AWS, GCP, or Azure. - Understanding of software engineering practices, version control, and model validation. - Relevant bachelor’s degree or equivalent academic background; advanced study is preferred. - Strong communication and problem-solving skills, with the ability to work independently in a remote, early-stage team.

Nice to have - Background in legal technology, e-discovery, digital forensics, or regulated fields. - Experience with NLP, document extraction, computer vision, or MLOps. - Knowledge of evidence handling, chain of custody, AI ethics, or bias mitigation. - Relevant research publications.