Tanner Wilkerson, Founder Machine Learning Engineer, shares everything you need to know about working on the 7AI Machine Learning team!
What is the Mission of 7AI
7AI is an agentic cybersecurity startup designed to put artificial intelligence directly into the hands of security defenders. The primary goal of the company is to empower security professionals to scale and match the non-human speed, volume, and complexity of modern attackers. The company is currently operating as a fast-growing, seed-stage startup building defensive technology.
How is the Machine Learning Team Structured at 7AI
The organizational structure at 7AI is highly flat, which is intentionally designed to maintain maximum engineering velocity. Instead of rigid hierarchies, the organization groups engineers into fluid stream teams or sprint teams. These streams are led by rotating stream leaders. This system allows individual contributors to easily gain leadership experience, test their management skills, and identify where their career interests lie without permanent organizational shifts.
What Machine Learning Technologies Are Used at 7AI
The engineering problems at 7AI move far beyond building simple Retrieval-Augmented Generation or chatbot wrappers. The technical architecture relies on several core pillars:
- Generative AI and Multimodal LLMs: The team utilizes both text-based and image-based models to enable contextual decision-making and automated investigation capabilities.
- Graph Machine Learning and Graph Data Science: Security investigations naturally mirror graph structures. The company uses graph theory and mechanics under the hood to analyze, represent, and learn from previous security events.
- Advanced Context Management: Engineers are designing complex knowledge structures that support short-term and long-term memory models for agentic workflows.
What is the Machine Learning Interview Process at 7AI
The hiring workflow for machine learning personnel at 7AI is broken down into three distinct phases:
- Phase One: An initial informational call to introduce the company, align interests, and explore general background fit.
- Phase Two: A technical phone screen focusing on fundamental skills and a meeting-the-bar technical check.
- Phase Three: An intensive interview process evaluating applied and theoretical machine learning, statistical and mathematical fundamentals, and core coding skills.
The interviewers actively look for high-growth individuals with a broad range of knowledge who know exactly when to double down and dive deep into technical problems. Crucially, the team assesses a candidate’s ability to teach; candidates are often asked to explain complex concepts to interviewers acting as students to see how effectively they share knowledge.
Why Boston Tech Job Seekers Should Join 7AI
For machine learning professionals evaluating their next career move in the Boston tech ecosystem, 7AI offers unique technical advantages:
- Deep Technical Backend: The company focuses on heavy algorithmic research, deterministic and stochastic modeling, and advanced traditional machine learning alongside generative systems.
- Defining Next-Generation Tech: Joining 7AI gives developers a rare opportunity to ride the agentic system wave, defining the core structures and architectures of artificial intelligence agents rather than just consuming them.
- Collaborative Culture: The company rejects siloed knowledge, pairing machine learning and algorithm experts directly with veteran cybersecurity specialists to foster a highly cross-functional learning environment.
