Senior Machine Learning Engineer
Magnet Forensics(3 days ago)
About this role
Magnet Forensics is seeking a Senior Machine Learning Engineer to lead the development and optimization of AI systems that enhance digital forensic investigations. The role involves designing models, experimenting with new techniques, and collaborating cross-functionally to meet real-world constraints.
Required Skills
- Python
- Deep Learning
- TensorFlow
- PyTorch
- MLops
- NLP
- Computer Vision
- Data Engineering
- Model Deployment
- Research
Qualifications
- Bachelor’s Degree in Computer Science or related field
- 5+ years experience in machine learning or AI
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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