Software Engineer, Backend/Applied ML (Safety & Integrity)
Core
Designing, developing, and scaling robust backend systems and applied machine learning solutions to address integrity and safety challenges in human-to-AI interactions, specifically for Generative AI products.
Role type
Senior IC backend engineer with applied ML focus (safety & integrity)
Builds
Scalable backend systems, integrity and safety features, and ML models for content classification, anomaly detection, and risk scoring
Domain
Generative AI safety, backend engineering, distributed systems
Deliverable
production ML models | product features
Required skills
Backend system architecture, scalable system design, machine learning model development, anomaly detection, content classification, risk scoring, distributed systems design, Generative AI safety knowledge, technical leadership, mentorship
Preferred skills
Experience with content filtering, bias mitigation techniques, output monitoring, full lifecycle ML model development
Technologies
(Not explicitly listed)
Responsibilities
Architect and build highly scalable, resilient, and performant backend systems; Lead technical design and implementation of solutions for detecting and mitigating integrity risks; Conceptualize, develop, deploy, and iterate on ML models for integrity challenges; Collaborate cross-functionally to define requirements and deliver integrity systems; Drive long-term technical vision and roadmap for backend integrity systems; Provide technical guidance and mentorship to other engineers; Advocate for and implement best practices in software engineering and ML lifecycle; Continuously analyze and improve performance, scalability, and cost-effectiveness of integrity platforms and ML models; Stay current on emerging threats and advancements in backend engineering and Generative AI safety
Seniority
Senior, hands-on IC with leadership responsibilities