Machine Learning Engineer

About The Company Maze is an innovative startup dedicated to advancing cybersecurity through cutting-edge artificial intelligence solutions. Backed by substantial funding, Maze is building groundbreaking applications of large language models (LLMs) and AI agents to address complex security challenges faced by organizations worldwide. Our mission is to leverage the power of AI to create scalable, reliable, and impactful cybersecurity tools that protect digital assets and ensure operational resilience. We foster a dynamic, collaborative environment where technological excellence and creative problem-solving are paramount, enabling our team members to make meaningful contributions to the future of cybersecurity technology. About The Role We are seeking a highly skilled Machine Learning Engineer to join Maze as a key technical leader in our AI and cybersecurity initiatives. In this role, you will drive the development and deployment of our machine learning infrastructure, overseeing everything from experimental prototypes to production-ready systems. As one of the early engineering team members, you will have the opportunity to shape the technical landscape of our AI-powered security solutions, working closely with the CTO and product teams to translate advanced research into scalable, real-world applications. Your primary focus will be on evaluating frameworks, building robust ML pipelines, and integrating AI capabilities seamlessly into our product offerings. Success in this position will be measured by improvements in agent performance, system reliability, and the tangible impact of our AI solutions on customer security outcomes. This role is ideal for a hands-on ML engineer with extensive experience in scaling production systems, a product-oriented mindset, and a passion for solving complex security problems through innovative AI applications. Qualifications 6+ years of experience building and scaling machine learning systems in production environmentsStrong foundation in classical neural networks and deep learning principlesExpertise in modern large language models (LLMs), transformer architectures, and generative AI applicationsProficiency in Python and familiarity with various ML frameworks and toolsExperience in deploying ML models from experimentation to customer-facing production systemsDemonstrated ability to build evaluation frameworks and scalable ML pipelinesExperience working across multiple organizations, including startups and scale-upsStrong understanding of product development cycles and integrating ML solutions into user-facing featuresExcellent collaboration skills with product teams and stakeholdersSelf-motivated with the ability to operate autonomously while aligning with leadership goals Responsibilities Design and implement comprehensive evaluation frameworks to measure AI agent performance and track improvements over timeOwn the entire ML lifecycle, from prototype development to scalable, reliable production deploymentCollaborate with product teams to seamlessly integrate ML capabilities into customer-facing features, ensuring technical excellence translates into user valueContinuously improve AI agents through experimentation, prompt engineering, and architectural enhancementsBuild and scale ML infrastructure, monitoring tools, and workflows to support organizational growth and rapid deploymentPartner closely with the CTO and engineering leadership to align technical strategies and ensure project successMentor junior ML engineers through code reviews, technical guidance, and knowledge sharingStay abreast of the latest advancements in AI, LLMs, and cybersecurity to inform and enhance our solutions Benefits Opportunity to work at the forefront of AI and cybersecurity innovationCollaborative environment with experienced leaders from Big Tech and scale-upsAutonomy to lead projects and shape technical strategiesPotential for career growth into leadership roles such as Head of ML Engineering or domain technical leadParticipation in transformative technology development at the intersection of generative AI and cybersecurityCompetitive compensation and benefits packageFlexible work arrangements and a focus on work-life balance Equal Opportunity Maze is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workplace where everyone feels valued, respected, and empowered to contribute their best. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, or any other protected characteristic. All qualified applicants are encouraged to apply.