Machine Learning Engineer at Rise Technical in Palo Alto, California

Posted in Other 1 day ago.

Type: full-time





Job Description:

Machine Learning Engineer

$150,000 to $250,000 + Equity + Benefits + PTO

Remote - United States

Are you a Machine Learning Engineer with a background in diffusion models/diffusion transformers/state space models, looking to work in a fast growing start-up a chance to obtain progression into management?

This is an incredible opportunity to join a start-up with 8 figure funding, where you will be able to work alongside passionate engineers and leading researchers to create groundbreaking and truly innovative technology.

My client is a seed stage company that is developing an AI-powered platform, that enables users to create dynamic character videos by transforming text, images, or voice inputs into animated content. Through its cutting-edge AI models, it enables the creation of lifelike and customizable human characters.

As a Machine Learning Engineer, you will design and oversee the services and infrastructure that support the company's models and power video generation. You will utilize your expertise in developing backend services, managing infrastructure as code, and deploying models that drive the company's offerings.

This is great chance to join a well-funded start-up with strong momentum, in a role that allows you to work with top researchers and engineers, whilst developing a product with huge potential and benefiting from fast-tracked career progression.

The Role:

* Start-up with 8 figure seed funding

* Design and oversee the services and infrastructure for models and power video generation

* Develop backend services, managing infrastructure as code, and deploying models

* Great opportunity to progression in a fast-growing company

The Person:

* Experience with Python and PyTorch

* Experience accelerating and deploying latent diffusion models, diffusion transformers, or state space models

* Experience developing/scaling pipelines, event streaming/processing in AWS (+ SQS or Kafka)
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