Lead Software Machine Learning Engineer, New Relic

Responsibilities:

• You will have the chance to work closely with data scientists and engineers to bring innovative ideas to fruition on top of multiple cloud vendors.
• You will be expected to embrace engineering best practices in design and coding, and you will be responsible for data pipelines and tools that enable data analysis on a large scale.
• You will collaborate with engineering teams across the organization to integrate machine learning capabilities into various products.
• Lead a team of engineers in the design, development, and deployment of anomaly solutions.
• Develop novel machine learning and statistical algorithms for anomaly detection that can handle large volumes of data and identify complex patterns.
• Design and implement scalable architectures for anomaly detection systems that can integrate with existing infrastructure.
• Collaborate with data scientists to analyze large datasets and identify potential anomalies, trends, and correlations.
• Train and validate machine learning models using large datasets and evaluate their performance on detecting anomalies.
• Deploy and maintain anomaly detection systems in production environments, ensuring high availability and low latency.
• Mentor junior engineers and provide technical guidance on anomaly detection solutions.
• Stay up-to-date with the latest research and advancements in anomaly detection and apply this knowledge to develop innovative solutions

Requirements & Skills: