Position Overview

We are in search of seasoned Machine Learning Engineers/Scientists with profound expertise in Generative AI. As a member of the Haiper ML team, you will be at the forefront of developing and implementing state-of-the-art generative models and applications that redefine the capabilities of vision foundation models.

Key Responsibilities

1. Train large models on GPU clusters or distributed GPU environments for large-scale datasets and complex workloads;

2. Develop and implement scalable inference pipelines to deploy the models into production environments;

3. Maintain comprehensive documentation of academic papers, models, algorithms, and research findings for knowledge sharing within the team;

4. Stay up-to-date with the latest advancements in Generative AI, conduct research, and explore innovative techniques to improve model quality and efficiency.

Requirements

• PhD or Master’s in Computer Science with considerable experience in at least one of the following areas: Machine Learning, Computer Vision, NLP or related areas;

• Extensive hands-on ability in training large neural models;

• Proven experience as a Machine Learning Engineer/Scientist, with a strong focus on Generative AI projects;

• Demonstrated expertise in training and optimizing generative models;

• Strong coding skills with deep learning frameworks (e.g. Pytorch, Tensorflow etc.) and distributed training frameworks (e.g. Deepspeed) or CUDA;

• Experience with data preprocessing and data augmentation techniques;

• Excellent problem-solving and analytical abilities;

• Effective communication and collaboration skills;

• Candidates with published papers in top conferences are preferred (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP etc.