Magnet Forensics
digital investigative software
SeniorAI/MLEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI/ML Engineer at Magnet Forensics. Skills: AI/ML system development, model training and evaluation, agentic system design, retrieval and evaluation architecture. Building and operating AI systems. Model training and evaluation”
What You'll Achieve.
Shipping AI-powered systems that surface critical leads and insights for investigators; Helping investigators solve cases faster and with greater confidence; Ensuring our models and systems advance what's possible while meeting real-world constraints; Accelerating experimentation, evaluation, and deployment; Raising concerns early when they arise; Helping the team to level up by establishing patterns and best practices; Delivering models or AI systems into production; Meeting the needs of our customers and helping them serve the people they protect; Making an impact with our work
Industry & Context.
solve cases faster and with greater confidence; models reason, plan, call tools, and collaborate with other systems to accomplish complex tasks
Background check required
What They're Looking For.
Must Have
5+ years of professional experience in ML or applied AI (or equivalent depth demonstrated through delivered work), with a track record of delivering models or AI systems into production, Demonstrated depth in at least one of: model training and evaluation, agentic system design, or retrieval and evaluation architecture, with working familiarity across the other, Experience evaluating ML/AI systems. Designing representative evaluation distributions, checking that training signals or metrics reflect the actual outcome you care about, Comfortable working with large, complex, and/or unstructured datasets, with a understanding of trade-offs between model quality, cost, inference speed, and system performance, Proficiency in Python and working fluency with modern ML/AI frameworks and tooling (e.g., PyTorch, inference servers, LLM/agent frameworks), communication and cross-functional collaboration skills, comfortable working with Engineers, Researchers, Product, and UX, Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience
Nice to Have
Familiarity with vector databases, embedding models, and context retrieval, Background in NLP, computer vision, or other relevant ML domains, Familiarity with MLOps tooling (e.g., experiment tracking, model versioning, CI/CD for ML), Contributions to open-source ML/AI projects or publications in peer-reviewed journals, Experience working with cloud providers like AWS or Azure, Experience with other relevant production AI/ML infrastructure, Experience working with AI tools as part of your development workflow (e.g., Claude, GitHub Copilot, etc.)
What You'll Do.
Building and operating AI systems
Model training and evaluation
Deployment of AI systems
Retrieval-augmented generation (RAG) pipelines
Owning complex initiatives end-to-end
Shipping AI-powered systems
Designing and prototyping agentic workflows
Developing pre-processing
and evaluation techniques
Ensuring models and systems are production-ready
and meet real user needs
Contributing to reusable engineering infrastructure
and secure AI practices
Mentoring other engineers
How You'll Work.
Team & Collaboration
Work closely with Product, UX, and other engineering teams; Collaborate cross-functionally with other engineering teams; Mentoring other engineers at different levels; Working with Engineers, Researchers, Product, and UX
Communication Scope
communication and cross-functional collaboration skills
Process & Methodology
Own complex initiatives end-to-end
Full Job Description
## Description Who We Are; What We Do; Where We’re Going Magnet Forensics is a global leader in the development of digital investigative software that acquires, analyzes, and shares evidence from computers, smartphones, tablets, and IoT-related devices. We are continually innovating so our customers can deploy advanced and effective tools to protect their companies, communities, and countries. Serving thousands of customers globally, our solutions are playing a crucial role in modernizing digital investigations, helping investigators fight crime, protect assets, and guard national security. With employees based around the world, Magnet Forensics has been expanding our global presence. As a part of Magnet Forensics, you can expect to make a difference in the world, no matter what role you play. You’ll be supported through learning and development, not to mention an incredible team with unbelievable talent and integrity. If you think you would be the right person to join our team working towards this goal, we would love to hear from you! Role Overview We are looking for a Senior AI/ML Engineer to join our team, building and operating AI systems that power our digital forensics capabilities; our work ranges from model training and evaluation through deployment, retrieval-augmented generation (RAG) pipelines, and agentic workflows. You will own complex initiatives end-to-end, shipping AI-powered systems that surface critical leads and insights for investigators, helping them solve cases faster and with greater confidence. You'll work closely with Product, UX, and other engineering teams to ensure our models and systems advance what's possible while meeting real-world constraints. ## What You’ll Do Own complex AI/ML initiatives from ideation through experimentation, evaluation, deployment, and handoff for integration; Design and prototype agentic workflows where models reason, plan, call tools, and collaborate with other systems to accomplish complex tasks; Tr
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