Build and improve modern ML models to solve complex problems.
Read papers and implement/test new models from research.
Think about the best human-computer interfaces to make ML models accessible to everyone.
Run benchmarks and analyze results; present findings to the team.

🎯 Requirements

Knowledge of Python and ML libraries like PyTorch, TensorFlow, or JAX.
Ability to implement models from academic papers like ICML, ICLR, NeurIPS, etc.
Strong quantitative intuition; mastery of linear algebra, probability and statistics.
Solid knowledge of basic data structures and algorithms (list, vector, stack, heap) and time/memory complexity.

🎁 Benefits

Flexible work arrangements (hybrid/office/remote) depending on role.
Diverse, inclusive workplace with equal opportunities.
Reasonable accommodations for candidates on request.
Rolling application process; no fixed deadline.

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