Software Engineer Backend Applied ML Safety and Integrity

You will architect scalable backend systems for integrity and safety features. You will develop and operate machine-learning models for content classification, anomaly detection, risk scoring, behavior analysis, and generative-AI safeguards. You will lead technical strategy, mentor engineers, and improve the performance, reliability, scalability, and cost of integrity platforms.

Responsibilities

• Design, develop, and maintain scalable backend systems for integrity and safety features
• Lead technical solutions for detecting, preventing, and mitigating integrity risks
• Develop, deploy, and iterate on machine-learning models for integrity challenges
• Collaborate with product, data science, AI research, security, and operations partners
• Drive the technical vision and roadmap for integrity systems and applied ML
• Provide technical guidance and mentorship to engineers
• Implement software engineering, distributed systems, data engineering, and ML lifecycle best practices
• Improve the performance, scalability, reliability, and cost-effectiveness of integrity platforms and ML models
• Stay current with safety threats, backend engineering, distributed systems, and generative-AI safety research

Requirements

• 8+ years of professional software engineering experience with emphasis on backend systems
• Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related technical field
• Experience designing, building, and operating large-scale, highly available distributed systems
• Expertise in Python, Go, Java, or C++
• Experience applying machine learning to real-world integrity, trust, or safety challenges
• Understanding of the machine-learning lifecycle, including data preparation, feature engineering, model selection, training, validation, A/B testing, deployment, and monitoring
• Problem-solving ability for ambiguous and technically challenging problems
• Ability to deliver results in a fast-paced development environment
• Communication, interpersonal, and leadership skills

Benefits

• Health coverage for employees and their families, with most premiums covered
• 401(K) contribution
• Up to 20 weeks of paid parental leave
• Four weeks of PTO
• Daily in-office catering
• Monthly DoorDash stipend
• Monthly wellness stipend
• Equity