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Machine Learning Engineer, SafeguardsDormont Manufacturing Company • San Francisco, California, United States
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Machine Learning Engineer, Safeguards

Dormont Manufacturing Company
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States
Apply Now

About

About the role We are looking for ML engineers to help build safety and oversight mechanisms for our AI systems. As a Safeguards Machine Learning Engineer, you will work to train models which detect harmful behaviors and help ensure user well‑being. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities Build machine learning models to detect unwanted or anomalous behaviors from users and API partners, and integrate them into our production system Improve our automated detection and enforcement systems as needed Analyze user reports of inappropriate accounts and build machine learning models to detect similar instances proactively Surface abuse patterns to our research teams to harden models at the training stage Qualifications Have 4+ years of experience in a research/ML engineering or an applied research scientist position, preferably with a focus on AI safety. Have proficiency in Python, LLMs, SQL and data analysis/data mining tools. Have proficiency in building safe AI/ML systems, such as behavioral classifiers or anomaly detection. Have strong communication skills and ability to explain complex technical concepts to non‑technical stakeholders. Care about the societal impacts and long‑term implications of your work. Preferred Experience Machine learning frameworks like Scikit‑Learn, TensorFlow, or PyTorch High‑performance, large‑scale ML systems Language modeling with transformers Reinforcement learning Large‑scale ETL Compensation and Benefits The expected base compensation for this position is below. Our total compensation package for full‑time employees includes equity, benefits, and may include incentive compensation. Annual Salary: $315,000—$425,000 USD Logistics Education requirements: We require at least a Bachelor’s degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. Guidance on Candidates’ AI Usage: Learn about our policy for using AI in our application process.
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  • San Francisco, California, United States

Languages

  • English
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