Top Tech Jobs & Startup Jobs in Los Angeles, CA

Develop ISP pipelines and computational imaging algorithms for next-generation camera platforms. Collaborate with optics, sensor, computer vision, and compute teams; make architecture decisions; design ISP performance testing and characterization methods; analyze sensor issues and implement corrective actions. The role requires expertise in computer vision, machine learning, image processing, non-traditional sensors, and camera systems, with up to 15% travel and predominantly in-office work.

Design, implement, operate, and scale critical backend services such as identity, social graph, and persistence systems. Collaborate across teams to deliver product solutions, test and debug code, and apply best practices for availability, scalability, security, operational excellence, and cost management. Independently deliver medium-sized features, support incident resolution, and use AI tools responsibly to improve development workflows while maintaining production-quality standards.

Build and deploy machine learning models powering Snapchat products at scale. Own the full ML lifecycle from data analysis through production deployment, apply modern ML techniques, and collaborate with cross-functional teams to launch ML-driven features. Develop scalable, secure, production-ready services using AI-assisted engineering workflows, while contributing to ranking, recommendations, search, content understanding, or image-generation applications.

Develop and execute product communications strategies for Snapchat, SPECS, and major initiatives. Build media relationships, identify consumer stories, translate complex technology into compelling narratives, coordinate cross-functional campaigns, draft communications materials, and prepare executives for media engagements. The role also supports launches, partnerships, safety issues, and emerging priorities.

Manage and grow senior-level client and agency relationships for Snap’s advertising business. Advise clients on products, develop digital campaigns, analyze performance data, optimize campaigns, and identify upsell opportunities. Lead cross-functional projects, support onboarding, educate advertisers on auction-based tools, and develop case studies. The role requires strong knowledge of advertising metrics, programmatic media, data analysis, client strategy, and performance marketing.

Manage and grow client and agency relationships, develop performance-driven Snapchat campaigns, analyze campaign data, optimize performance, and identify upsell opportunities. Educate advertisers on Snap products and best practices, support self-service and auction-based tools, and collaborate cross-functionally on RFPs and complex campaign projects.

Manages and grows senior client and agency relationships for Snapchat advertising. Advises brands on products and campaign best practices, develops digital campaigns, analyzes performance data, optimizes KPIs, identifies upsell opportunities, supports self-service advertising tools, leads cross-functional workstreams, and mentors account team members.

Manages and grows client and agency relationships, develops performance-driven Snapchat campaigns, analyzes campaign data, optimizes results, identifies upsell opportunities, educates advertisers on products, and supports adoption of Snap’s self-service advertising tools. Collaborates cross-functionally through RFPs and complex projects while delivering measurable ROI and strategic recommendations.

Leads machine learning and software engineering teams building models, agentic systems, data pipelines, and ML infrastructure for advertising integrity and recommendations. Owns technical strategy, roadmap, model quality, reliability, privacy, and responsible AI. Partners cross-functionally to deliver measurable outcomes, scales LLM-powered ad review, contributes technically, and hires and mentors high-performing engineers.

Lead Snap’s Production Security team and secure infrastructure across AWS and Google Cloud. Set technical strategy for perimeter security, workload identity, secrets management, CI/CD, and cloud controls; oversee service reliability, incident response, vulnerability remediation, security reviews, and risk acceptance. Partner with engineering teams to embed security by default, guide responsible AI adoption, recruit and develop engineers, and drive company-wide security platform adoption.