Machine Learning Engineer

March 14

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Censys

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The Leader in Attack Surface Management & Cloud Security

Cyber Security • Data • ZMap • Data-driven Security • Internet

51 - 200

Description

• Work with the Data team and Data Science to deliver features to support dataset curation, model analysis, and integrations that span the entire machine learning lifecycle. • Build powerful and extensible methods that interact with our event-driven and real-time data pipelines, allowing for high throughput and resilient model serving. • Help build, design, and monitor production models for errors, drift, and non-compliance. • Work with our SRE team to build, deploy, and manage the necessary platform and cloud infrastructure to support the machine learning life-cycle.

Requirements

• Bachelor's degree in Computer Science, Data Science, Engineering, or other technical discipline (or equivalent professional experience). • 3+ years of experience working as a Machine Learning Engineer, MLOps Engineer, or Data Engineer. • Proficiency with building production-grade models using Machine Learning and Deep Learning frameworks (e.g., TensorFlow or PyTorch). Including experience with model training and drift detection. • Proficiency with backend software development (e.g., Python, Golang) with experience in service-oriented architectures based on Kubernetes, or similar. • Familiarity with or experience integrating into real-time, event-driven, and streaming data pipelines, preferably those built on Google Pub/Sub, Kafka, or similar. • Preferred familiarity GCP VertexAI cloud platform. • Preferred familiarity with Google BigQuery and its ecosystem. • Ability to concisely communicate complex subject matter to technical and non-technical audiences.

Benefits

• Humble Brilliance: We celebrate intelligence and foster a culture where tackling cybersecurity challenges is exciting and rewarding. • A Mosaic of Minds: Our diverse team brings together various talents and backgrounds, fostering true innovation through diverse perspectives. • Thinkers and Tinkerers: At Censys, we encourage questioning the status quo, experimenting, and pushing boundaries to drive breakthroughs. • Coffee-Fueled Collaboration: Collaboration is at the heart of our success, fueled by a shared passion for disrupting the cybersecurity scene. • Trailblazing Impact: Your innovations at Censys make waves in real-world cybersecurity, shaping the future and leaving a lasting legacy. • Life Beyond the Firewall: We prioritize work-life balance and support your well-being inside and outside the office. • Empowered Voices: Your voice matters at Censys; we champion an inclusive culture where diverse perspectives drive change.