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Cyberhaven

Senior AI Research Engineer

Reposted 5 Days Ago
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In-Office
7 Locations
Senior level
In-Office
7 Locations
Senior level
The Senior AI Research Engineer will develop AI-based solutions for cybersecurity, applying machine learning technologies to protect data and solve real-world problems within a collaborative team environment.
The summary above was generated by AI

Joining Cyberhaven offers a unique opportunity to revolutionize data protection through cutting-edge AI technology. Cyberhaven is dedicated to overcoming the challenges faced by traditional data security products, ensuring robust protection of critical data against insider threats in a rapidly evolving work environment. With a unique approach to data lineage, tracing data from its origin for better classification and protection, Cyberhaven combines the functionality of traditional data protection security tools into a single, more effective solution.

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

Nice to 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

What you can count on

  • Competitive salary and stock options

  • Health benefits – 100% paid for you and your family

  • Flexible time off (paid)

  • Career advancement opportunities

  • Compensation Range: $225 - $250k

Please note that Ranges showed encompass the entire US market, from higher rate cities like NYC, Bay Area and Seattle, to all the US Metro Area.

Cyberhaven is the AI-powered data security company revolutionizing how companies detect and stop the most critical insider threats to their most important data. We've raised over $250M from leading Silicon Valley investors like Khosla and Redpoint. Cyberhaven is also backed by founders, executives, and security leaders who have built transformational technologies at Crowdstrike, Nutanix, Palo Alto Networks, Meta, Google, Slack, and others.

Our company values are:

  • Think Deeply and Use Sound Reasoning

  • Step Up and Take Ownership

  • Continuously Learn and Grow

  • Obsess About Customers

  • Enjoy the Journey

  • Reach for Ambitious Goals

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.

Top Skills

AI
Cybersecurity
Graph Neural Networks
Hugging Face
Machine Learning
PyTorch
TensorFlow
Transformers

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