Entrepreneurial AI Researcher jobs in United States
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Deeter Analytics ยท 2 months ago

Entrepreneurial AI Researcher

Deeter Analytics is a well-funded trading firm expanding into AI research, and they are seeking an Entrepreneurial AI Researcher to explore and develop foundational models for financial applications. The role involves formulating research agendas, collaborating with engineers, and taking ideas from proof of concept to production.

Financial Services

Responsibilities

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

Qualification

ML researchPyTorchJAXEfficient trainingMultimodal inputs/outputsClean codeCollaborationSelf-starter

Required

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
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

Preferred

Frontier labs experience (e.g., Anthropic, OpenAI, DeepMind)
Novel discovery through published work (NeurIPS/ICML/ICLR)
Led research in an applied setting (startups, open-source, or products at scale)
Standout independent achievement (notable OSS, benchmarks, or widely used methods)

Benefits

Real ownership from hypothesis to deployment.
A culture optimized for deep work, fast learning, and doing the right thing.

Company

Deeter Analytics

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Turning market data into decisive action

Funding

Current Stage
Early Stage
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