Senior Machine Learning Engineer #7405
New Relic(7 months ago)
About this role
This role is part of a global team building New Relic’s observability platform with a focus on machine learning and conversational AI. The engineer will contribute across the full ML lifecycle, including fine-tuning generative models, designing agentic language chains and recommender experiments, and supporting RAG systems. The position involves building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation and monitoring for models in production. The team emphasizes innovation in AI-driven observability use cases within a flexible workforce model.
Required Skills
- Software Engineering
- Transformers
- Text Embeddings
- Model Deployment
- Model Management
- PyTorch
- TensorFlow
- HuggingFace
- SpaCy
- Python
+24 more
About New Relic
newrelic.comNew Relic is a cloud-based, all‑in‑one observability platform (New Relic One) that helps engineers monitor, debug, and improve their entire software stack. It combines APM, infrastructure and container metrics, distributed tracing, logs, dashboards, alerts, and many integrations into a single UI and query language, with Quickstarts that make instrumentation fast. Offered as SaaS with a free tier (no credit card required), New Relic is built for developers and operations teams to accelerate troubleshooting, optimize performance, and gain end‑to‑end visibility across services and cloud environments.
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