Lead Machine Learning Engineer
Confirmed live in the last 24 hours
New Relic
Job Description
We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us!
Your opportunity
New Relic's observability platform is trusted by organizations globally to facilitate better software development through data-driven insights. Logs constitute a core element of this platform. To begin understanding a system, the initial step is transmitting logs and other telemetry to New Relic. Our thousands of customers depend on their logs, analyzing petabytes of log data, to effectively detect and resolve issues.
We are seeking an experienced machine learning engineer to provide strategic, technical leadership within a new, fast-growing team. This team is focused on Logs Intelligence, a critical suite of AI-driven innovations designed to transform raw, unstructured log data into actionable insights. If you are passionate about tackling challenging problems and raising the bar for engineering excellence, we encourage you to apply!
What you’ll do
- Drive and shape the technical strategy and direction for Logs Intelligence
- Architect, design, and deploy robust and scalable machine learning and GenAI systems
- Mentor and coach team members, contributing to the growth of the team and the wider engineering community
- Drive complex cross-team projects and predictably deliver high impact business results
This role requires
- 8+ years of experience designing, deploying, and supporting large-scale machine learning systems
- Solid experience working with GenAI models, transformers, and deep-learning techniques
- 4+ years of experience developing production-grade applications using Python
- Familiarity with machine learning frameworks such as PyTorch and Tensorflow
- Experience with orchestration tools such as Airflow, KubeFlow, and Argo
- Demonstrated success in working closely with product and engineering teams, consistently driving initiatives to completion through rapid and frequent iteration
Bonus points if you have
- Familiarity with streaming platforms like Kafka
- Experience in Javascript
- Experience in Java or other similar programming languages
Please note that visa sponsorship is not available for this position.
Fosteri
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