Key skills
PyTorchAIMLOpenAIJAXCollaboration
About this role
Role Overview
- 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.