About the Role

We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and LLM-powered systems that sit at the core of our security products — the pieces that make the difference between a tool that flags noise and one that helps defenders find what matters.

This is a hands-on role on a small, focused team. You'll have real ownership over the models and pipelines you build, close collaboration with engineering and product, and the runway to go deep on the hard problems.

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.

What You’ll Do

Security is a domain where the adversary is adaptive, the signal is rare, and the cost of a miss is real. That makes for interesting modeling problems — ones where off-the-shelf approaches rarely carry you the whole way, and where careful research, solid experimentation, and production rigor each matter for our success.

Your work will span a few areas:

Model development and research: Building classifiers, detectors, and scoring models on messy, high-stakes security data. Designing experiments, evaluating trade-offs, and iterating on architectures — not just hyperparameters
LLM agent systems: Shaping the prompts, context, tool-use patterns, and supporting content that drive our LLM agents
Production delivery: Shipping models behind real traffic, monitoring them, and improving them over time
Evaluation and iteration: Building the evaluation harnesses and feedback loops that let us know whether a change is actually an improvement — often the hardest part of the work. Our models only improve for customers when our evaluations highlight what really matters

Who You Are

Production experience is the single most important thing. We'd like to see around 3–4+ years of experience delivering models into production environments where they've had to perform, be maintained, and evolve. That's the background that tends to set people up for success here.

Beyond that:

Depth in ML fundamentals: You understand model architectures and can reason about why a given approach is or isn't a good fit for a problem
Willingness to experiment: Comfortable trying genuinely novel approaches when the standard playbook runs out, and able to distinguish promising results from fragile ones
Strong engineering instincts: Code teammates can read, extend, and trust in production; you think about reproducibility, testing, and handoff
Experience with LLMs in practice: Worked with LLM-based systems in some real capacity — prompting, context design, tool use, evaluation, or fine-tuning — and have opinions shaped by shipping things
Comfort with ambiguity: Able to frame problems, scope them, and make progress without clean data or labels
Advanced degree (MS or PhD) in a technical discipline: CS, statistics, physics, math, engineering, or related fields welcome. On-the-job experience matters most

We want to be upfront about research and publications: while we're supportive of engagement with the broader research community, our team's focus is firmly on shipping. Publishing papers and attending conferences can absolutely happen, but they aren't the center of gravity of the role. If your primary goal is academic output, this probably isn't the best fit.

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.

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: A completely remote global team, with intentional in-person gatherings a couple of times a year. Generous stipend for home office setup, annual upgrades, and monthly stipend for internet/phone expenses
Comprehensive Health & Wellness Benefits: Five options to choose from, fully subsidized by HiddenLayer, plus vision, dental, and 401k offerings
Flexible Time Off: Unlimited and flexible time off for salaried employees, plus 15 paid company holidays
Commitment to Learning and Development: Dedicated L&D fund for training, conferences, certifications, and industry events
Diversity, Equity, and Inclusion: Committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives

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.

Data Scientist