Formulate and pursue original research agendas (reasoning, tool connectivity, robustness, alignment, data/compute efficiency).
Follow Ideas to PoC to MVP to training to validation, owning all steps of the process with deep collaboration with Research Engineers (see other open role).
Build rigorous evaluation suites through simulated environments and real time evaluation.
Prototype fast with real data; partner with Research Engineers to take promising ideas to production.
Requirements
Are a self-starter who thrives on coding autonomy and project collaboration within small-team, high velocity environments.
Have strong ML research chops (theory and practice), and write clean, reproducible code (e.g. PyTorch/JAX).
Think in systems: data quality, scaling laws, evaluation, and deployment constraints
not just model internals.
Prefer clear principles, low ego and prefer collaboration over titles and politics.
Helpful backgrounds (any of the following)
Frontier labs experience (e.g., Anthropic, OpenAI, DeepMind); or
Novel discovery through published work (NeurIPS/ICML/ICLR); or
Led research in an applied setting (startups, open-source, or products at scale); or
Standout independent achievement (notable OSS, benchmarks, or widely used methods).
Tech Stack
PyTorch
Benefits
A well-funded trading firm expanding into AI research
your ideas set direction and standards.
Real ownership from hypothesis to deployment.
Competitive base with meaningful upside tied to research impact.
A culture optimized for deep work, fast learning, and doing the right thing.