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Machine Learning Engineer

  • ... San Francisco Bay Area, Texas, United States
  • ... Full time
  • ... Salary: 350000 per year
  • Posted on: Feb 29, 2024       Expires on: Apr 14, 2024

Machine Learning Engineer   

JOB TITLE:

Machine Learning Engineer

JOB TYPE:

Full-time

JOB LOCATION:

San Francisco Bay Area Texas United States

JOB DESCRIPTION:

Machine Learning Engineer (multiple roles)

AI

San Francisco (Hybrid/Remote)

Computer Vision, Generative AI, Distributed Systems, ML Platforms, Python

$250k - $350k + benefits + equity


Do you want to help establish a cutting-edge production studio contributing to the evolution, and bringing innovation to the global media and entertainment industry?


The role

As an early engineer you will play a key role in building the core components for their next-gen AI platform.
You will own multiple stages of a production pipeline and be in charge of optimizing, or automating them by testing, fine-tuning, and integrating the latest models.


What will you be doing?

  • Deeply study our industry and a typical production pipeline and identify the key interfaces.
  • Idenfitfy available Generative AI models such as: Stable Diffusion, LLMs, GANs or perhaps it could be something else, you will test and evaluate it for a best fit for the rest of the platform
  • Deploy models to the hardward, and optimizing it where needed, you will integrate with a unique product and the wider platform
  • Build data curation pipelines per the unique requirements of each model
  • Scale and cost-optimize API plumbing to the relevant cloud-deployed models


What skills will you need?

  • Experience with large-scale distributed systems and ML platforms
  • Experience with Computer Vision, Machine Learning, Deep Learning and AI
  • Ability to read and implement the latest research on Generative AI and collaborate at times with internal or external partners
  • Experience in curating and bootstrapping datasets for large-scale classifications problems or image/video
  • Experience with a mix of Python, TypeScript, or Golang
  • Self-Motivated, High-Growth mentality
  • Desire to join a cutting-edge start-up that moves quickly


Benefits

Great base salary with equity

Health insurance

Remote Working

Chance to build a world-class company & products.


If you're passionate about shaping the future of AI technology and want to be part of a pioneering team, this role is tailor-made for you.
Apply now or reach out to Daniel at daniel@weorbit.
ai for further information.

Position Details

POSTED:

Feb 29, 2024

EMPLOYMENT:

Full-time

SALARY:

350000 per year

SNAPRECRUIT ID:

S-1709656197-db357e686fef5afc3c8a81c3f3e99fc7

LOCATION:

Texas United States

CITY:

San Francisco Bay Area

Job Origin:

jpick2

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Machine Learning Engineer (multiple roles)

AI

San Francisco (Hybrid/Remote)

Computer Vision, Generative AI, Distributed Systems, ML Platforms, Python

$250k - $350k + benefits + equity


Do you want to help establish a cutting-edge production studio contributing to the evolution, and bringing innovation to the global media and entertainment industry?


The role

As an early engineer you will play a key role in building the core components for their next-gen AI platform. You will own multiple stages of a production pipeline and be in charge of optimizing, or automating them by testing, fine-tuning, and integrating the latest models.


What will you be doing?

  • Deeply study our industry and a typical production pipeline and identify the key interfaces.
  • Idenfitfy available Generative AI models such as: Stable Diffusion, LLMs, GANs or perhaps it could be something else, you will test and evaluate it for a best fit for the rest of the platform
  • Deploy models to the hardward, and optimizing it where needed, you will integrate with a unique product and the wider platform
  • Build data curation pipelines per the unique requirements of each model
  • Scale and cost-optimize API plumbing to the relevant cloud-deployed models


What skills will you need?

  • Experience with large-scale distributed systems and ML platforms
  • Experience with Computer Vision, Machine Learning, Deep Learning and AI
  • Ability to read and implement the latest research on Generative AI and collaborate at times with internal or external partners
  • Experience in curating and bootstrapping datasets for large-scale classifications problems or image/video
  • Experience with a mix of Python, TypeScript, or Golang
  • Self-Motivated, High-Growth mentality
  • Desire to join a cutting-edge start-up that moves quickly


Benefits

Great base salary with equity

Health insurance

Remote Working

Chance to build a world-class company & products.


If you're passionate about shaping the future of AI technology and want to be part of a pioneering team, this role is tailor-made for you. Apply now or reach out to Daniel at daniel@weorbit.ai for further information.

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