> Markdown version of [/jobs/ext/4023174-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/4023174-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** RunSybil Corp. - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Quality, Cyber Security, Data Infrastructure, Machine Learning, Jupyter Notebook, Data Management, Data Pipelines - **Published:** October 30, 2026 - **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-san-francisco-ca--3afffdb8-3bec-424e-980b-ec235312a3cf ## About the Role Machine Learning, Computer Security, Computer Hacking, Artificial Intelligence (AI), Product Planning, Product Programs, Technical/Engineering Design, Technical Leadership, Data Management, Experiment Design, We are seeking talented engineers intent on changing the security industry. If you have experience on fast-moving teams and pushing out high quality experiments: we want to talk to you., * Experience working with security data problems * MS or PhD in a quantitative discipline is nice but certainly not required - strong bias for building product-informing experiments versus published works * 4+ years of experience designing experiments and managing data infrastructure * Understanding of both modern and classic machine learning techniques * Equally comfortable with Jupyter notebooks and building data pipelines * Seeks autonomy, creative problem-solving, and moving quickly in an ambiguous environment ## Description * Propose and implement technical initiatives based on product roadmap needs * Lead technical design discussions, contribute to team decisions, and provide feedback on engineering approaches * Translate ambiguous technical challenges into actionable plans, and execute them in collaboration with the team * Serve as the cornerstone of our engineering culture by setting and upholding exemplary standards for code quality, practices, and craftsmanship