Machine Learning Engineer

6 Months ago • 5-10 Years • Backend Development

Job Summary

Job Description

Hedra, a video foundation model company, seeks a Machine Learning Engineer to build and manage services powering their models. You'll accelerate and deploy diffusion models, build cloud infrastructure, develop pipelines, and architect REST APIs. Startup experience is a must.
Must have:
  • Latent Diffusion Models
  • AWS Infrastructure
  • Kubernetes (EKS)
  • REST API
Good to have:
  • Diffusion Transformers
  • State Space Models
  • Terraform
  • SQS or Kafka
Perks:
  • Competitive Compensation
  • Equity

Job Details

About Hedra:

Hedra is a pioneering video foundation model company founded by former Stanford PhDs backed by top investors at Index, A16Z Games, and Abstract Ventures. We're building a unified creation studio that empowers users to generate dialogue, audio, and video, effectively automating their digital presence.

Our flagship product, Character-1, launched in late June and has already garnered national attention, landing us on the top of Reddit (multiple times!) and Twitter, while attracting over 450,000 registered users and generating millions of videos. We raised 10 million dollars in our seed round to revolutionize content creation.

As we continue to expand, we're seeking a dynamic individual to lead marketing and propel Hedra to new heights.

Note: Hedra is not a 9-5 job, we’re a team of passionate individuals seeking to fundamentally change content and build a generational company together. You must be willing to work in-person in either NYC or SF.

Summary:

As our Machine Learning Engineer, you will build and manage the services and infrastructure that power and serve our models and the videos that they generate. You will combine best in class knowledge building backend services, maintaining our infrastructure as code, and deploying the models that power our services. 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 accelerating and deploying latent diffusion models, diffusion transformers, or state space models using best pytorch practices and tensorrt.

  • Building out and scaling our cloud-based infrastructure (in AWS and Oracle clouds), leveraging Kubernetes (EKS), infrastructure as Code (Terraform).

  • Experience developing/scaling pipelines, event streaming/processing in AWS, using tools such as SQS or Kafka.

  • Startup Experience is a must — we work hard and build quickly. This is not a 9-5 nor weekday only job.

  • 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.

  • At least 5 years of professional Python or Golang.

Personality:

  • Self-motivated and independent — able to set accurate timelines for development and deliver on them. Have an opinion and the experience to backup that opinion.

  • Low ego, high patience, strong communication skills.

  • Understand operational costs and overhead short and long term.

  • Mission-driven — we are building something fundamentally disruptive and this reflects deeply in our company DNA.

  • And most importantly, treat Hedra as your own and help shape the vision accordingly

Benefits:

  • Competitive compensation and equity.

  • 401k.

  • Healthcare (Silver PPO Medical, Vision, Dental).

  • Gym access (at our office).

About the founders:

Michael Lingelbach (CEO) - Before taking a leave of absence to start Hedra, Michael was a PhD student at Stanford jointly advised by Jiajun Wu and Fei-Fei Li. Michael has published in top computer science conferences such as ICRA and CoRL, with a focus on building large-scale simulation platforms for computer vision and robotics. He has also made notable contributions to several open source projects (iGibson, OmniGibson). He’s a passionate cinephile, former thespian, and huge fan of Denis Villeneuve.

Alex Bergman (Chief Scientist) - Alex recently received his PhD from Stanford working with Gordon Wetzstein. Alex has made significant contributions to neural rendering research, resulting in publications at top machine learning and computer vision conferences such as NeurIPS and ICCV. He is especially interested in packaging the benefits of neural rendering technology in tools which are intuitive to use for creatives. Outside of work, Alex enjoys traveling, movies, and spending time outdoors.

Compensation Range: $140K - $200K

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About The Company

We are a creation lab building foundation models into products that power the next generation of human storytelling

New York, New York, United States (On-Site)

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