Senior Machine Learning Engineer (Magnet-Griffeye)
Magnet Forensics(2 days ago)
About this role
Magnet Forensics is seeking a Senior Machine Learning Engineer to design, optimize, and lead the development of AI systems that enhance digital forensic investigations. The role involves working on complex models, experiments, and collaborating across teams to advance digital evidence analysis.
Required Skills
- Python
- Deep Learning
- PyTorch
- TensorFlow
- NLP
- Data Engineering
- Model Evaluation
- MLops
- Large Language Models
- Reinforcement Learning
Qualifications
- Bachelor’s Degree in Computer Science
- Master’s Degree in Machine Learning or related field
About Magnet Forensics
magnetforensics.comNew Relic is a SaaS observability and telemetry platform that helps engineering and operations teams monitor, debug, and optimize applications and infrastructure in real time. It offers application performance monitoring (APM), distributed tracing, logs, metrics, synthetic monitoring, alerting, a unified dashboarding experience, and a query language (NRQL) for ad‑hoc analysis. With agent-based instrumentation and support for OpenTelemetry, New Relic targets developers, SREs, and ops teams needing full‑stack visibility, collaboration, and cost-aware usage models. The platform also includes applied‑intelligence features to accelerate root‑cause analysis and surface actionable insights.
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