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Entrepreneurial AI Researcher

Deeter Analytics · Remote, United States

RemoteExternal listingfull-timeabout 1 month ago

About The Role

  • Join a small, fast-moving team where you’ll explore, invent, and discover.
  • We’re training foundational models for financial applications on unique, multimodal datasets.
  • 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 (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.
  • You might be a fit if you
  • -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).
  • 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.
  • If this sounds like you, apply.

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