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Cogent Security

AI/ML Engineer

Cogent Security, San Francisco, California, United States, 94199

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Cogent Security AI/ML Engineer

Cogent Security is on a mission to stop breaches and prevent cybercrime by innovating at the frontier of generative AI systems. We are building the world's first AI cyber taskforce, composed of AI agents capable of human-caliber reasoning and execution of cybersecurity tasks, that autonomously protects organizations from emerging threats. The early adopters of our technology include some of the world's most important institutions, spanning public companies, elite universities, and Fortune 500 corporations across industries. Cogent was founded by a seasoned team of former engineering and product leaders, who bring decades of experience across cybersecurity and technology. The early team is fully in-person in San Francisco, and consists of the top software engineering and machine learning talent from leading companies such as Abnormal Security, Coinbase, Microsoft, Tesla, and more. To support our ambitious growth plans, we recently raised a large Seed round from top investors and angels across AI, cybersecurity, and enterprise software. As we execute on our mission, we are constantly pushing ourselves to ACHIEVe: Ambition for Excellence We work backwards from the way things should be and constantly measure our progress against it

Customer Centricity We obsess over the problems our customers face and relentlessly innovate to find the best solutions

Intellectual Honesty We embrace hard conversations and actively seek the truth

Intentionality We exhibit good judgment and are thoughtful about tradeoffs

Extreme Ownership We take pride in our work and never say the words "not my problem"

Velocity / Bias for Action We don't leave for tomorrow what can be done today

As we extend our founding team, we are looking for talented, ambitious individuals who are excited to build in the Applied AI space! What You'll Do & Achieve

Architect and launch the world's first AI Cyber Taskforce Work closely with our design customers to design and launch our flagship AI agents that are capable of automating tasks in vulnerability management

Understand business goals, product and technology strategies, and customer requirements and implement business-critical AI systems to achieve them

Identify appropriate datasets and data representations to support system development

Decompose existing enterprise security workflows into sub-tasks that can be modeled as an autonomous system

Experiment with the latest advancements in long-term reasoning and planning to design systems that allows Cogent to evolve the data flywheel of our AI products from initially highly supervised to eventually autonomous and managed by exception

Build and extend Cogent's Gen AI Platform Implement reusable system components for ranking, retrieval and search systems powered by LLMs for agentic automation

Put in place frameworks to train, evaluate, and stress-test ML systems, and extend improvements on Cogent's Gen AI platform

Stay on top of and when appropriate, propose incorporating cutting edge developments in ML and Gen AI into Cogent's AI systems

Help create a robust engineering culture at Cogent Onboard, support and uplevel future team members

Mentor and grow future junior team members

Actively contribute to Engineering Excellence, Operational Excellence and Recruiting initiatives

What You'll Bring

Multiple years of relevant experience in developing and deploying AI-driven systems, with a proven track record of architecting practical, production-grade solutions that solve real-world problems

Expertise in machine learning, deep learning, and AI models, with a deep understanding of how to apply these technologies to build scalable, performant systems in production environments

Experience with designing and deploying agentic systems and autonomous agents, as well as integrating these AI components into larger applications or products

Ability to address and navigate real-world scale and performance challenges, ensuring that AI models and systems are efficient, robust, and performant under production constraints

Familiarity with cutting-edge AI technologies, including reinforcement learning, natural language processing, computer vision, and large-scale generative models

Proven ability to work iteratively and collaborate with cross-functional teams to evolve AI models and systems that meet evolving product needs and user expectations

Passion for staying at the forefront of AI advancements, continuously learning and applying emerging techniques to improve product performance and drive innovation

For California Based Applicants

The standard base salary range for this position is $100,000 - $300,000 annually. Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are committed to building an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.