Serve as the team’s technical lead and mentor, guiding ICs through design, experimentation, and implementation while raising the technical bar.
Define and drive the Safety ML team’s technical strategy and roadmap.
Set the bar in technical reviews, including code, design, and architecture, ensuring the team builds scalable, robust, and high-quality ML systems.
Collaborate cross-functionally with product, data science, policy, legal, and engineering partners to align on safety goals and deliver effective solutions.
Tackle the most complex and high-impact challenges in safety, including adversarial abuse, harmful content detection, and evolving threat vectors.
Develop cutting-edge safety techniques, applying state-of-the-art ML to detect and prevent harm while staying ahead of emerging abuse patterns
Influence the company’s direction on safety, clearly communicating trade-offs and technical constraints to senior leadership and stakeholders.

Requirements

5+ years of experience in ML engineering or applied ML roles.
2+ years of experience applying ML in Trust & Safety to counter adversarial actors.
Strong coding skills in Python and fluency in ML frameworks such as PyTorch, JAX, or TensorFlow.
Proven experience building performant machine learning systems at scale and have driven the execution of large, impactful projects from ideation to production.
Ability to think from first principles, approaching complex problems with creativity, clear reasoning, and pragmatic solutions.
A growth mindset: seeking feedback, reflecting on decisions, and continuously improving.
Excellent communication and collaboration skills, with a history of partnering effectively across engineering, data science, legal, policy, and product teams.
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field (Physics, Math, Operations Research, etc).

Benefits

equity
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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

machine learningPythonPyTorchJAXTensorFlowscalable systemsadversarial abuse detectionharmful content detectionML system performancetechnical strategy

technical leadershipmentoringcollaborationcommunicationcreativityproblem-solvinggrowth mindsetclear reasoninginfluencingfeedback seeking