Full-Time

Mlops Engineer

Confirmed live in the last 24 hours

Cyberhaven

Cyberhaven

11-50 employees

AI-driven cybersecurity for insider threat protection

Cybersecurity
AI & Machine Learning

Compensation Overview

$150k - $250kAnnually

Mid, Senior

Remote in USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
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 offers cybersecurity solutions that protect businesses from insider threats using artificial intelligence. Its technology tracks data flow within organizations to prevent unauthorized data transfers and aids in internal investigations by providing a complete record of events. The system can also detect risky behavior in real-time, stopping users from mishandling sensitive data and offering coaching to prevent future incidents. By combining various data security functions into one platform, Cyberhaven aims to provide comprehensive protection for sensitive information through a subscription model.

Company Stage

Series C

Total Funding

$134.7M

Headquarters

Boston, Massachusetts

Founded

N/A

Simplify Jobs

Simplify's Take

What believers are saying

  • The recent $88M Series C funding round indicates strong investor confidence and provides resources for further innovation and expansion.
  • Recognition as a 2020 Fortress Cyber Security Award winner highlights Cyberhaven's credibility and leadership in data protection.
  • The appointment of Howard Ting as CEO in 2020 suggests strategic leadership aimed at scaling the company's operations and market presence.

What critics are saying

  • The competitive landscape in cybersecurity is intense, with numerous players potentially challenging Cyberhaven's market share.
  • Rapid growth and scaling efforts may lead to operational challenges and strain on resources.

What makes Cyberhaven unique

  • Cyberhaven's AI-driven data lineage technology offers a unique approach to understanding data flow and preventing data exfiltration, setting it apart from traditional cybersecurity solutions.
  • The company's focus on data detection and response (DDR) positions it as a pioneer in the industry, as evidenced by its claim to be the first platform of its kind.
  • Cyberhaven's integration of data loss prevention, insider risk management, and cloud data security into a single platform provides a comprehensive solution that is rare in the market.

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