Remote within the US
About The Role
We are looking for a curious, enthusiastic person to join our Data Science and Machine Learning Engineering teams as a Data Curation Specialist. In this role, you will be working day to day with Data Scientists, Machine Learning Engineers, Adversarial Researchers, Product Managers, and Sales Engineers, to help source, create, label, and record new data for our ML and AI systems.
Our work is primarily focused on security models that protect AI systems from external threats, like direct and indirect prompt injections. To do this, we need high-quality, richly labeled benign and malicious data, which is hard to source. Most of our data is created in-house, and the data we source externally is heavily vetted and labeled internally. We need to rapidly respond to new customer scenarios by producing specialized data to match their use cases, which teaches our models to tell the difference between malicious intent and day-to-day traffic.
Because the world of AI is rapidly changing and expanding, we need to be very nimble and creative, finding out what the problem of the week is, sourcing and labeling data, and seeing how it affects model outcomes. In this role, you will work directly with researchers to learn what data they need, with customer-facing reps to hear what issues our customers are having, and what data might be useful to improve those areas. And then on to the next!
Who We Are
HiddenLayer protects the world’s most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely.
Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up.
Who You Are
- Day-to-Day Scripting in Python (though not formal software engineering)
- Basic functions of git for sharing code
- Day-to-Day SQL: Enough to write common queries for pulling data from our databases
- Cursory understanding of common text encodings and formats; enough to routinely use many different types of text-based data (ASCII, UTF-8, Markdown, JSON, etc.)
- Savvy with Google Sheets for keeping detailed records of large quantities of data
- Ability to make good, useful visualizations of data for day-to-day internal use.
WHY HIDDENLAYER?
We’re moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft’s Venture Fund, and Moore Strategic Ventures.
Benefits
Attracting and retaining the very best people is our #1 priority. That’s why we offer our team best-in-class benefits, including:
- Fully Remote: We are a completely remote global team. Though we’re distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses.
- Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person’s needs. We also offer vision, dental, and 401k offerings.
- Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays.
- Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events.
To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter.
HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.
