ML Research Lead
Work Mode: Remote | Location: USA, Europe
ML Research Lead — Open-Source AI Tutoring Model
The engagement: We are assembling a consortium to bid for major philanthropic funding to build anopen-source AI model for K-12 math tutoring. Multi-year program, well-funded. We are looking for a named ML research lead to anchor the model-development side.
What this is: Anamed, credentialed role on the proposal — your CV plus a short Letter of Commitment, needed by the endof July. This isnot a full-time hire on that date; the role formalizes if we win
Must-haves
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You have post-trained and released an open model. Hands-on SFT, DPO, or RLHF on an open-weights base (Llama / Qwen / Gemma-class), with apublic artifact — released weights, a model card, or a paper. “Released” is the key word: something we can open and read, not internal-only work.
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A public artifact dated before May 2026. The release, paper, or model card needs to pre-date that point. (This is a firm eligibility line for the funder, not a preference.)
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Willing to be named, with CV + Letter of Commitment by the end of July. A listed research contributor on the proposal — not a background advisor.
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No conflicting commitment. Not currently bound to an organization that would prevent you from serving as a funded contributor on this bid.
Strongly preferred (bonus, in priority order)
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Education / tutoring experience with LLMs
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Mathematics specifically
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Alignment / behavior tuning — especially teaching a modelwhen to withhold the answer and guide the student rather than just solve it (this is our core technical problem)
Nice-to-have
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Experience releasing under permissive open licenses (Apache 2.0 / CC-BY-4.0)
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Familiarity with the OLMo / Tülu open post-training stack
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US-based or able to work to US-K12 field-testing timelines
Key Question for the Candidate
What model have you post-trained and released (SFT/DPO/RLHF), on what base, and can you share the weights, model card, or paper — dated before May 2026?