Hedra is an AI that bridges the gap between market intelligence and content generation. By analyzing your existing assets, Hedra ensures every new creation is deeply aligned with your audience preferences, market trends and your brands core identity.
Backed by $45 million from premier investors like A16Z, Index, and Abstract Ventures, we are building the world’s most advanced models for unified media understanding. Today, Hedra powers the creative workflows of 10 million users and 20% of the Fortune 500. Join our team of world-class researchers and engineers as we define the next generation of creative super intelligence.
As a Senior Backend Engineer, you will design, build, and deploy the backend services that power our transformative products, including Create, Stylize, and Studio. You will work with web and video standards to power our suite of web-based video and audio creation / editing tools. You will also dive deep into video container formats and streaming protocols, such as MP4, MKV, HLS, and MP-DASH, and work with tools such as FFMPEG.
You will also work on building and deploying backend services and APIs to our Kubernetes infrastructure, write secure, stable, and scalable Python code, interface with our ground-breaking foundation model, and integrate with SQS, Kafka, S3, and DynamoDB to implement event streaming/processing logic.
You will work with passionate engineers and top researchers to build a truly disruptive and novel technology. We’re looking for full-time hires for our New York or San Francisco offices.
Experience:Experience developing scalable services using Python
Experience developing RESTFUL APIs using frameworks such as FastAPI and Pydantic
Familiarity with authentication / authorization, utilizing standards such as oauth2, OIDC, and JWT
Experience working with relational and noSQL datastores (such as DynamoDB)
Experience writing unit and integration tests and working with CI/CD and dev-containers
Experience writing scalable, async code and leveraging asyncio, generators, coroutines
Experience building and scaling cloud-based infrastructure leveraging Kubernetes and EKS
Familiarity with AWS IAM, IRSA, ALB/NLB, route53, S3, lambda
Familiarity leveraging schema-registry, and serialization protocols such as avro, parquet, and JSON-schema
Experience developing/scaling pipelines, event streaming/processing in AWS, using tools such as SQS or Kafka.
Experience architecting and implementing REST APIs for distributed systems.
Experience with k8s, docker, especially in the context of deploying machine learning models on nvidia hardware.
Familiarity with audio/video web standards and tools, such as Webcodecs, webRTC, HLS, MP-DASH, FFMPEG, MP4, and MKV a plus.
At least 5 years of professional Python or Golang.
Competitive compensation and equity.
401k.
Healthcare (Silver PPO Medical, Vision, Dental).
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