Machine Learning Researcher/Engineer - Multimodal
Machine Learning Scientist
Location - San Francisco (Hybrid)
Summary
Our client, a unique Multimodal AI startup, is seeking a passionate and talented ML Engineer to join their cutting-edge research team. In this hybrid role, you'll collaborate closely with a senior member to push the boundaries of deep learning research, contribute to infrastructure development, and build advanced tooling.
As a key member of the team, you'll play a vital role in achieving their mission of becoming the most impactful AI start-ups in video streaming, multimodal AI agents. This is an opportunity to be at the forefront of a rapidly evolving field and make a significant impact on the future of AI.
In this role, you will
- Conduct AI research projects essential for advancing products (video embedding & retrieval, multimodal language model, agents)
- Collaborate with the team lead to select AI research projects and execute them responsibly and proactively
- Discuss and determine data collection and labeling methods for project execution
- Provide regular communication and feedback among ML team members on ongoing projects
- Proactively communicate and provide feedback on ongoing projects with the team lead and other team members
- Discuss and contribute to creating a culture and environment that enables the team to work most efficiently
You may be a good fit if you have
- Research experience and interest in fields such as Video Understanding, Multimodal Language Modeling, Vision + X, Open-domain QA, Generative Models, Video Representation Learning, Action Recognition, Multimodal AI, or similar areas
- PhD in a related field, or a Master's degree with 3+ years of industry experience
- Ability to independently lead research projects
- Experiance in taking these models through to production
- Experience developing large-scale commercial ML products
- Experience in large-scale model training and acceleration
- Published research in top-tier AI conferences related to video, Vision + NLP, or multimodal studies
- High-ranking records in international conference challenges, Kaggle competitions, or domestic AI competitions