Architect & Build: Design, develop, and maintain highly scalable, resilient, and performant backend systems that power our integrity and safety features.
Lead Complex Solutions: Lead the technical design and implementation of sophisticated backend solutions for detecting, preventing, and mitigating a wide array of integrity risks.
Apply Machine Learning: Conceptualize, develop, deploy, and iterate on machine learning models and algorithms to address complex integrity challenges.
Cross-Functional Collaboration: Work closely with product managers, data scientists, AI researchers, security teams, and operations to define requirements, design innovative solutions, and deliver impactful integrity systems.
Technical Strategy & Roadmap: Drive the long-term technical vision and roadmap for backend integrity systems and applied ML capabilities.
Mentorship & Leadership: Provide technical guidance and mentorship to other engineers on the team and across the organization.
Champion Best Practices: Advocate for and implement best practices in software engineering, distributed systems design, data engineering, and the full lifecycle of ML model development.
System Optimization: Continuously analyze and improve the performance, scalability, reliability, and cost-effectiveness of existing integrity platforms and ML models.
Stay Current: Keep abreast of emerging threats, new technologies, and advancements in backend engineering and ML applications.

Requirements

8+ years of professional software engineering experience, with a strong emphasis on backend systems development.
Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related technical field.
Proven track record of designing, building, and operating complex, large-scale, and highly available distributed systems.
Expertise in one or more backend programming languages such as Python, Go, Java, or C++.
Hands-on experience in applying machine learning techniques to solve real-world problems, specifically with demonstrable experience in addressing integrity, trust, or safety challenges.
Solid understanding of the machine learning lifecycle, including data gathering and cleaning, feature engineering, model selection, training, validation, A/B testing, deployment, and operational monitoring.
Exceptional problem-solving abilities, with a knack for tackling ambiguous and technically challenging problems.
Proven ability to work in a fast-paced development environment and deliver timely results.
Strong communication, interpersonal, and leadership skills, with the ability to articulate complex technical concepts to diverse audiences.

Benefits

🩺 Top-notch health coverage for you & your family, with majority of the premium covered
💰 We invest in your future with a generous 401(K) contribution
🍼 New parents, we've got you covered with incredible paid leave -up to 20 weeks
🌴 4 weeks of PTO to explore, unwind & come back recharged
🍽️ Daily in-office catering plus a monthly Doordash stipend to help keep you fueled no matter where you are**
✨ Monthly wellness stipend to support you in your health journey

Applicant Tracking System Keywords

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

Hard Skills & Tools

backend systems developmentmachine learningPythonGoJavaC++data engineeringdistributed systems designML model developmentsystem optimization

Soft Skills

problem-solvingleadershipcommunicationinterpersonal skillsmentorshipcollaborationtechnical guidanceadaptabilitytime managementcritical thinking

Certifications

Bachelor's degreeMaster's degreePhD degree