Responsibilities
- Training state-of-the-art models - across any modality.
- Pushing existing models further through post-training, data curation, architectural improvements, and novel training paradigms.
- Designing rigorous benchmarks and evaluations that tell us whether a new model iteration is genuinely better - and why.
Requirements
- 3+ years of experience in the field of AI, with an emphasis on implementing, training, and improving machine learning models.
- Demonstrated capacity to autonomously evaluate novel concepts or enhance existing machine learning projects, potentially contributing to published work.
- Experience conducting exploratory research to improve the quality of gathered data.
Benefits
- Innovative culture: part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: annual discretionary stipend for professional development.
- Social travel: annual discretionary stipend to meet up with colleagues each year.
- Annual company offsite: entire team brought together in a new location.
- Co-working: monthly co-working stipend if not located near main hubs.
