Top Tech Jobs & Startup Jobs in Los Angeles, CA

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Drive new customer acquisition and revenue growth as part of the Outbound Sales Development team. Collaborate with cross-functional teams to build a strong sales pipeline and understand customer needs in the ASR space.

As a Billing & Analytics Software Engineer, you'll design and maintain the billing pipeline, integrate billing systems, and develop customer-facing analytics dashboards to support revenue recognition and operational observability.

Lead the edge deployment strategy for Deepgram's speech AI models, optimizing for performance on constrained hardware and collaborating with partners like Qualcomm to deliver secure solutions for defense customers.

As a Senior Developer Advocate, you'll enhance developer experiences by improving integration with partner ecosystems, maintain relationships, produce technical content, and drive adoption through clear documentation and community engagement.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

As a Network Engineer at Deepgram, you'll optimize global network infrastructure for real-time audio streaming, focusing on latency reduction across hybrid cloud and on-premises environments.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.

As QA Engineering Manager, you will define QA strategies, manage a QA team, and integrate testing into product release cycles while ensuring compliance and quality standards are met.

Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.