Entrepreneurial AI Researcher

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.
• 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).

Benefits

Additional Information

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.

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Company Intel

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