ML Infrastructure Engineer, Cyberhaven

$150-250k

+ Stock options

React

Kubernetes

TypeScript

Python

Prometheus

PyTorch

BigQuery

Senior and Expert level

Austin

Denver

San Francisco Bay Area

Data loss prevention & insider risk security

Job no longer available

Data loss prevention & insider risk security

201-500 employees

B2BArtificial IntelligenceData storageSaaSCyber SecurityCloud Computing

Job no longer available

$150-250k

+ Stock options

React

Kubernetes

TypeScript

Python

Prometheus

PyTorch

BigQuery

Senior and Expert level

Austin

Denver

San Francisco Bay Area

201-500 employees

B2BArtificial IntelligenceData storageSaaSCyber SecurityCloud Computing

Company mission

To safeguard the flow of data in the digital economy so that creators maintain ownership and attribution of their work.

Job

Company

Role

Who you are

You love innovation and have an entrepreneurial mindset, eager to solve challenging real-world problems with breakthrough technology
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)

What the job involves

We’re looking for an experienced ML Infrastructure engineer to help drive and evolve our product, focusing on high-impact innovation projects as part of our Linea AI team.
You will be working on cutting-edge technology and ideas and bringing AI prototypes to production
You will work closely with Labs team to operationalise and scale AI prototypes across many customers
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

Our take

Cyberhaven is a platform that blends risk management, cloud access security and traditional data loss prevention solutions to provide enterprises with robust data protection. As the landscape of data handling evolves, its solutions offers visibility into sensitive data across cloud and on-premises environments, disrupting the DLP industry.

Founded in 2016, Cyberhaven has in recent years accelerated its growth with key leadership hires and innovative advancements in its technology. This has solidified its position as a premier data security partner in the market as it expands its products, global reach and capabilities.

Considerable funding highlights investor confidence in Cyberhaven. In 2025, for example, it raised $100 million at a $1 billion valuation. This supports the company's newest offering of AI tools developed specifically to stop employees from leaking data to places like ChatGPT.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

63% employee growth in 12 months

Glassdoor (4.6)

Company

Funding (last 2 of 6 rounds)

Apr 2025

$100m

SERIES D

Jun 2024

$88m

SERIES C

Total funding: $238.7m

Company benefits

Remote-friendly culture
100% paid health benefits for you and your family
Flexible time off
Potential fast-tracked career advancement opportunities

Company HQ

Evergreen Park, Palo Alto, CA

Leadership

Vitaly Chipounov

(Chief Architect & Co-founder)

Doctor of Philosophy and Computer Science at Ecole Polytechnique Fédérale de Lausanne, where they built S²E – a platform for multi-path in-vivo analysis of complex software systems.

Cristian Zamfir

(VP of Reliability & Co-founder)

Computer Science PhD at Ecole Polytechnique Fédérale de Lausanne. Inventor of Execution Synthethis, a celebrated method which automates the debugging of concurrent software.

Volodymyr Kuznetsov

(CTO & Co-founder)

Doctor of Philosophy and Computer Science at Ecole Polytechnique Fédérale de Lausanne, where they researched ways of using program analysis and instrumentation to solve cyber security problems.

Radu Banabic

(Architect & Co-founder)

Obtained a PhD from Ecole Polytechnique Fédérale de Lausanne, after developing tools and approaches that automatically find bugs and vulnerabilities in large systems.

Nishant Doshi

(CEO)

Joined the company in 2024 as Chief Product and Development Officer. Prior experience includes SVP and GM at Harness, CEO and Founder at Propelo and VP of Engineering at Palo Alto Networks.

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