AutoRoboto is an engineering and management consulting firm that has delivered projects for some of the largest technology companies in the San Francisco Bay Area. Our work spans mechanical, electrical, and software design; data collection and quality assurance; and validation testing for new hardware and software. We're deliberately small. That means our engineers work directly with client teams, see their work reach production quickly, and move between problem domains as our customers' priorities shift. If you want a narrow lane and a long approval chain, this isn't the place. If you want range and ownership, read on. This is a hybrid position that sits at the intersection of offensive security and machine learning data work — two areas where our clients increasingly need the same person in the room. On the security side, you'll take a proactive, offensive role: performing authorized penetration tests against client systems, using a range of tools and techniques to find the gaps an attacker would exploit. You'll document every action in detail and produce clear reports covering what you attempted, what succeeded, what it means for the client's risk posture, and how to fix it. On the ML side, you'll help design and run the data collection efforts that support our clients' model development and evaluation — including adversarial and edge-case data, where your security instincts are a direct advantage. You'll also apply the same rigor to data quality that you apply to security findings: reproducible process, documented methodology, defensible results. You'll typically be embedded with one or two client teams at a time, with engagements that shift as their roadmaps do.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed