Data Scientist

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.

Who We Are

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.

What You’ll Do

• 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.

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.
• 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. You've moved well beyond treating models as black boxes and past tuning that stops at sample weights and decision thresholds.
• Willingness to experiment. You're comfortable trying genuinely novel approaches when the standard playbook runs out, and you can tell the difference between a promising result and a fragile one.
• Strong engineering instincts. Your code is something teammates can read, extend, and trust in production. You think about reproducibility, testing, and handoff — not just whether something runs on your laptop.
• Experience with LLMs in practice. You've worked with LLM-based systems in some real capacity — prompting, context design, tool use, evaluation, or fine-tuning — and have opinions shaped by actually shipping things.
• Comfort with ambiguity. Security problems rarely come with clean labels or clean data. You're able to frame problems, scope them, and make progress without a fully paved path. You’ll help highlight ambiguity and reason about how to make progress even when humans don’t all agree on one single answer.
• An advanced degree (MS or PhD) in a technical discipline. This doesn't have to be in data science or ML specifically — strong backgrounds in CS, statistics, physics, math, engineering, and related fields are all welcome.

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: Fully Remote, Comprehensive Health & Wellness Benefits, Flexible Time Off, Commitment to Learning and Development, Diversity, Equity, and Inclusion.

Benefits

• 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.
• Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer.