Remote Founding Machine Learning Engineer, Creative Tools ?? - Visual Electric
About the role
We are looking for a Machine Learning Engineer to join our founding team. Someone who is deeply technical and passionate about the untapped creative possibilities of generative AI. Someone who lives on the bleeding edge of ML research and also finds inspiration in art, design, and beauty. You see technology not only as a tool for problem solving, but as an instrument for expression. You will be on the frontier of a rapidly evolving technology, creating models that unlock creative potential in others.
What we are looking for in a candidate
Senior level Machine Learning Engineer, preferably with a focus on image generation.
Past work showing creative uses of Machine Learning
An interest and appreciation of compelling visuals, beauty, and aesthetics.
Strong Python and PyTorch skills with an ability to rapidly prototype ideas and refine towards production.
Ability to adapt existing innovative ML models and train/fine-tune models in novel settings, for example a new data domain or implementing on-device
Experience with data manipulation and data pipelining.
Outstanding ability to communicate your ideas to designers, engineers, and leadership through storytelling, visuals, and presentations.
Flexible and comfortable with ambiguity and working in a rapidly changing environment.
Passionate about new technology and desire to push the boundaries of whats possible.
Ability to clearly communicate concepts and designs through sketches, wireframes, high fidelity comps, and prototypes.
Highly collaborative and proactively seeks out feedback to incorporate into your work.
Familiarity with 3D graphics, geometry and classical CV concepts a plus.
Examples of original generative AI artwork a plus.
What you will be working on
Our projects and priorities will change as we explore and iterate. Here are some examples of the kinds of things you will be working on.
Connecting existing state of the art models together in new ways
Fine tuning custom data sets
Integrating new advances in generative AI algorithms
Location
Full-time remote, hybrid, or in-person in our Sausalito studio
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