Offer summary

Qualifications:

Strong Python skills with experience in PyTorch., Understanding of visual AI, including diffusion models and transformers., Experience with multimodal generative AI research or development., Knowledge of large-scale ML systems and cluster orchestration tools is a plus..

Key responsibilities:

Implement generative AI features for products.

Collaborate with Research and Product teams on model fine-tuning and evaluation.

Develop tools for model evaluation and data quality assessment.

Train and deploy ML classifiers and embeddings.

Job description

We are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.

We are looking for people who mix strong technical ML skills, boundless curiosity and a constant desire to make better products. You’ll be part of Luma’s applied research team and work directly on mission critical work streams utilizing thousands of GPUs.

Responsibilities

Implement cuttingedge generative AI features for inclusion in our product
Work with Research and Product to finetune models, including dataset creation, model finetuning and evaluation
Build tools & methods for evaluating our models and identify & implement solutions
Train and run ML classifiers & embeddings to categorize by data quality and other attributes