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Machine Learning Ai Engineer Image Jobs (NOW HIRING)

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction ... Building SOTA Deep learning discriminative models and build generative models to generate image and ...

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

... AI organizations and technology companies. Responsibilities may include ... Design, train, evaluate, and deploy machine learning models across text, image, audio, and ...

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

... leading AI organizations and technology companies. Responsibilities may include: * Design, train, evaluate, and deploy machine learning models across text, image, audio, and multimodal domains.

Applies AI and Machine Learning (AI/ML) principles to design, test, and scale frameworks, systems ... image, video, audio) to uncover patterns and develop practical solutions. Possesses deep knowledge ...

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Machine Learning Ai Engineer Image information

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$31.5K

$128.8K

$193.5K

How much do machine learning ai engineer image jobs pay per year?

As of Jun 7, 2026, the average yearly pay for machine learning ai engineer image in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

Machine Learning Engineer

Krea.ai, Inc

San Francisco, CA • On-site

Full-time

Posted 10 days ago


Job description

About Krea
At Krea, we are building next-generation AI creative tools.
We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.
We believe AI is a new medium that allows us to express ourselves through various formats-text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium.
This job
We're looking for a machine learning engineers who can work on large-scale image and video models training experiments..
Some stuff you can do:
  • Train foundation diffusion models for image and video generation.
  • Train controllability modules such as IPAdapters or ControlNets.
  • Develop novel research techniques and put them into production.
  • Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasets

Example experience and skills we're looking for
  • Proven track record in working with image or video models at scale (publications or open-source contributions a plus)
  • Strong background in deep learning frameworks and distributed training paradigms.
  • Ability to iterate rapidly, and propose creative research directions

A bit more about us
We've raised over $83M and are backed by world-class Silicon Valley investors such as Andreessen Horiwitz, and the cofounder of the Meta AI Research laboratory (FMK as Facebook AI Research) or founding members of OpenAI.