Full-Time

ML Infrastructure Engineer

Confirmed live in the last 24 hours

Cyberhaven

Cyberhaven

11-50 employees

AI-driven cybersecurity for insider threat protection

Data & Analytics
Cybersecurity
AI & Machine Learning

Compensation Overview

$150k - $250kAnnually

Senior

Remote in USA

Category
DevOps & Infrastructure
Cloud Engineering
DevOps Engineering
Required Skills
Kubernetes
Python
React.js
Pytorch
BigQuery
TypeScript
Go
Prometheus
Development Operations (DevOps)
Requirements
  • You have a strong track record in building full-stack applications that are actively used at scale
  • You have experience developing large applications in Go / Python
  • You have experience developing and deploying Machine Learning Operations at scale.
  • You have hands-on experience with microservices, Kubernetes (both development and DevOps), and observability technologies like Prometheus.
  • You have 2+ years of experience with ML Ops technologies
  • You have 5+ years of experience with DevOps or Backend development
  • You have production experience working with large-scale foundational models and transformer-based architecture (GenAI)
Responsibilities
  • You’ll work in fast-paced environments on new features that use AI at its core.
  • You'll work with a large-scale, highly scalable, and fault-tolerant system that handles large graph datasets at enterprise scale in real-time. Instances of our product are processing billions of events from tens of thousands of endpoints in real-time with subsecond latency requirements.
  • You get to work with a modern and constantly evolving microservices-based software stack which includes Go, Kubernetes, Bigquery, etc. on the backend, Typescript, React, MUI, etc. on the frontend, Python, Pytorch, Huggingface libraries in the ML stack, Vertex AI pipelines.
  • You will work on delivering in-house LLM models to production.

Cyberhaven protects businesses from insider threats using artificial intelligence to track data flow within organizations. Its technology prevents unauthorized data transfers and aids in internal investigations by providing a complete record of events. Additionally, it detects risky behavior in real-time, allowing for immediate intervention and coaching. By utilizing its proprietary data lineage technology, Cyberhaven combines various data security functions into one platform, aiming to create a secure environment for managing sensitive information.

Company Stage

Series C

Total Funding

$134.7M

Headquarters

Boston, Massachusetts

Founded

2015

Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for AI-driven cybersecurity solutions boosts Cyberhaven's market potential.
  • Growing interest in data lineage technology supports Cyberhaven's core offering.
  • Rising adoption of cloud-based security solutions aligns with Cyberhaven's services.

What critics are saying

  • Increased competition from emerging startups could dilute Cyberhaven's market share.
  • Rapid AI evolution may require significant R&D investment to keep up.
  • Over-reliance on subscription model poses financial risks if clients switch to competitors.

What makes Cyberhaven unique

  • Cyberhaven uses AI to protect businesses from insider threats to their data.
  • The company offers a unique data lineage technology for data flow understanding.
  • Cyberhaven combines data loss prevention, insider risk management, and cloud data security.

Help us improve and share your feedback! Did you find this helpful?