Build the future of AI productivity software and deploy state-of-the-art proprietary models to millions of users
Drive the AI vision for the company, refining it based on user needs, market dynamics, and research
Explore and apply cutting-edge AI techniques to translate innovations into valuable features
Spearhead end-to-end development of proprietary models to ensure exceptional user experiences
Design experiments and rapidly iterate to improve model performance on evaluation metrics
Collaborate cross-functionally with engineering and product management to deliver scalable solutions
Work on cutting-edge research (e.g., ScribeAgent) and contribute to the ML team's initiatives
Requirements
Have 2+ years of hands-on experience training large language models leveraging multiple modalities, including text and images
Prioritize user impact over technical complexity
Demonstrate strong intuitions of fundamental ML concepts (e.g., fluency in overfitting, generalization, back-propagation, etc.)
Have strong software engineering skills (Python, Jupyter, etc.) and experience with distributed training frameworks (e.g., PyTorch, JAX, Accelerate, FSDP)
Have experience with alignment techniques (instruction-based finetuning, RLHF, etc.)
Excel at ideation, love to rapidly test emerging techniques, and turn your innovative ideas into practical applications
Exhibit an owner mentality and enjoy independently identifying challenges, proposing thoughtful solutions, and fully owning outcomes
Have a track record of successfully owning projects from start to finish
Collaborate exceptionally well and enjoy inspiring and elevating your team
Are passionate about the future of AI agents and eager to shape it
Able to commute to our US headquarters in San Francisco 3 days a week (hybrid requirement)
Benefits
Some of the nicest and smartest teammates you’ll ever work with
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