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San Francisco, California, United States
Source: Cognition careers · View original posting
From Cognition's posting. “We” and “our” refer to the employer.
We are an applied AI lab building end-to-end software agents.
We're the makers of Devin, the first AI software engineer.
Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.
Role Mission
Devin is one of the most capable autonomous agents in production. It writes and runs code, uses tools, takes actions in real customer systems, and operates for hours without a human in the loop. That makes it one of the most important places in the industry to get safety right, and one of the few where safety work ships to millions of developers rather than staying in a paper.
You will build Cognition's safety function from the ground up: the research agenda, the evaluation and red-teaming program, the deployment policies, and the team. You will work directly with the researchers training our models and the engineers building the agent harness. This is a hands-on role for someone who has done serious safety or alignment work at a frontier lab and wants to apply it where agents actually operate.
Set the safety strategy for Devin and the models behind it, and own the outcomes.
Design evals and red-teaming for agentic risk: unsafe actions, prompt injection, data exfiltration, sandbox escape, reward hacking, and misuse. Make them part of every model and product release.
Partner with pre-training, post-training, and agent teams so safety is built into how models are trained and how Devin plans, acts, and asks for help.
Define what Devin is and is not allowed to do, how permissions and oversight work, and how we handle the gray areas, in a way that holds up with enterprise customers.
Hire and lead safety researchers and engineers. Represent Cognition's safety work with customers, policymakers, and the broader research community.
Exceptional Candidates Have Demonstrated
Hands-on work on safety, alignment, evaluations, or red-teaming at a frontier AI lab. You have shipped safety work that affected real models or products.
You understand how agents fail in practice: tool misuse, specification gaming, long-horizon drift, adversarial inputs. You have ideas about how to measure and mitigate it.
A track record of published or widely used safety research, evals, or methods. An advanced degree in Computer Science, Machine Learning, or a related field is a plus.
Comfortable in Python and in the training and inference stack. You can read the code, run the evals, and argue with researchers on the details.
You have started or scaled a safety function and prefer shipping mitigations to writing memos about them.
You can make clear calls on deployment risk with incomplete information and explain them to engineers, executives, and customers.
Equal Opportunity
Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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