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Cyberhaven

Senior AI/ML Research Engineer

Sorry, this job was removed at 06:13 p.m. (CST) on Monday, Dec 15, 2025
Remote
Hiring Remotely in US
225K-250K Annually
Remote
Hiring Remotely in US
225K-250K Annually

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About the role

We’re looking for a passionate, artificial intelligence research engineer to help build groundbreaking applications of artificial intelligence in cybersecurity. We have exclusive datasets available for training and are employing novel techniques, such as graph neural networks, and transformers to analyze them. Our technology is new and rapidly evolving, and you’ll have a chance to be an early contributor at a Series D-sized company with a substantial impact on the solution.

What you’ll do

  • You’ll apply both proven and cutting-edge machine learning technologies to build innovative solutions to solve hard, but critical, problems in the cybersecurity domain

  • You’ll see the near-term impact of your work, working with real customers and real data starting from the early prototyping phase

  • You’ll work in a small research and development team directly with the company CTO, tightly collaborating with the core product team to rapidly turn prototypes into products that help customers protect their data against ongoing real-world threats

Who you are

  • Passionate about cybersecurity and AI

  • You have a strong track record in applying AI to solve real-world problems in either research or industry settings

  • You’re creative and looking for innovative solutions but focused on solving important practical problems and ensuring your solution works in the real world

  • Experience working with LLMs (building RAG pipelines, agents, or similar)

  • Experience using pytorch and/or tensorflow, huggingface, and similar frameworks

  • Solid understanding the technology behind LLMs (probability theory, transformers, embeddings, etc.)

  • You have excellent verbal and written communication skills in English

  • Preferred candidates will have:

    • Experience with deep learning research, peer-reviewed papers, or a Ph.D. degree

    • Blogs, articles or conference talks about cybersecurity or AI

    • Experience with Anomaly Detection

    • Based in the Bay Area

Joining Cyberhaven is a chance to revolutionize data security. Traditional tools fall short, but we’ve reimagined protection with AI-enabled data lineage that analyzes billions of workflows to understand data, detect risk, and stop threats. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, alongside experts driven to help customers protect their most valuable information.

Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Cyberhaven Austin, Texas, USA Office

1306 W. Oltorf St. , Austin, TX, United States, 78704

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

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