Software Engineer, Backend/Applied ML (Safety & Integrity)

Highlights

• Design scalable backend systems powering safety and integrity features.
• Tackle emerging GenAI risks like misuse and harmful content.
• Shape industry best practices for human-to-AI interaction safety.

What they offer

• Health coverage for you and family with majority of premium covered
• Generous 401(K) contribution
• Paid parental leave up to 20 weeks
• 4 weeks of PTO
• Daily in-office catering plus monthly Doordash stipend
• Monthly wellness stipend
• Equity

Ideal candidate

Experienced backend engineer passionate about Trust & Safety who thrives on ambiguous challenges and leading impactful integrity work in fast-paced teams.

Requirements

• 8+ years of professional software engineering experience with emphasis on backend systems development
• Bachelor's, Master's, or PhD in Computer Science, Engineering, or related technical field
• Proven track record designing, building, and operating complex large-scale highly available distributed systems
• Expertise in one or more backend programming languages such as Python, Go
• Demonstrable experience solving real-world integrity, trust, or safety challenges
• Solid understanding of ML lifecycle including data gathering, feature engineering, training, validation, A/B testing, deployment, and monitoring
• Exceptional problem-solving for ambiguous and technically challenging problems
• Proven ability to work in fast-paced environment and deliver timely results
• Strong communication, interpersonal, and leadership skills