Entrepreneurial AI Researcher

What You’ll Do

• 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.
• 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.

Who We’re Looking For

• A self-starter who thrives on coding autonomy and project collaboration within small-team, high-velocity environments.
• 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.
• Clear principles, low ego, and prefer collaboration over titles and politics.

Helpful Backgrounds

• 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).

Research Areas We’re Excited About

• Efficient training (HRM, distillation, sparse/MoE, FSDP, etc.).
• Reasoning and tool use (automated trading and agentic interaction with data sources).
• Multimodal Inputs and Outputs (multiple forms of text and time-series both in and out).

What We Offer

• 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.