Deeter Analytics
via Ashby
Entrepreneurial AI Researcher
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 19h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 319d ago
The date the source published, not the day we noticed it (2025-10-31). Last seen at its source 5h ago.
Is it remote?
US - Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Carried by 1 source
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ashby employer's own board first seen 12d ago · last seen 5h ago
The listing
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.