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Staff AI Research Engineer

4 months ago

Playa Vista, United States Bay-Teck Full time

An LA based startup is redefining gaming with a revolutionary software to transform the way that gamers play. The app helps gamers improve by analyzing real-time data from your gameplay and relaying it back to you in a way that empowers you to level up your skills. Our value of empowerment extends to our employees as well with the support we give for our team to advance in their careers.

We are looking for a Staff AI Engineer to join ourApp team. This role reports to the Director of AI Research Engineering and will be a remote position, with the option to be on-site in our Los Angeles HQ.

What You Need:

•2+ years of experience + a relevant PhD degree, 4+ years of experience + a relevant MSc degree, or 6+ years of experience + a relevant BSc degree.

•Authorship of a leading generative vision AI technique.

•Experience with training generative AI models including but not limited to fine-tuning and debugging issues that arise during the training process.

•Comfortability coming up with changes to model architectures and understanding the implications of changes on data set requirements and the feasibility of training those changed architectures.

•Familiarity with transformers, cross-attention, and understand the application of attention in generative networks.

•Ability to read and write code in common ML frameworks.

•Experience getting ML working in cloud environments (we use GCP).

•Ability to read and analyze ML research independently and evaluate when techniques from a paper will be relevant to a practical problem.

Nice to Have:

•You have a strong publication record with papers related to generative vision.

•You have a strong publication record in generative AI and Computer Vision experience.

•You have a strong industry background doing work with Generative Vision.

What You Will Do:

•Read research to identify promising techniques

•Develop a range of models that as much as possible can leverage existing large-scale training

•Work to fine tune those models for domain specific applications

•Potentially write pre and post processing code for model inputs/outputs that is based on classical Computer Vision techniques

•You will be building cool technology and won't be publishing papers in this role

•Your work will be supported by a Data Engineering team and a DevOps team