4 дня назад
AI Researcher (On-Device AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Researcher (On-Device AI): Training model families for consumer on-device agents with an accent on pretraining, post-training, distillation, quantization, and reliable model evaluation. Focus on designing experiments, shipping checkpoints into production runtimes, and solving the constraints of deploying agentic models on phones, laptops, and wearables.
Location: San Francisco, CA, USA; in person
Company
is a stealth AI company building trustworthy, consumer-grade agents that bring frontier-model capabilities to phones, laptops, and wearables.
What you will do
- Lead training for one or more model capabilities, from data mixture and training objectives through evaluation and deployment in an on-device runtime.
- Design experiments and writeups that identify high-leverage research directions and improve team decision-making.
- Own a training workstream with a clear success metric and ship checkpoints that improve relevant evaluations.
- Translate research results into production capabilities with infrastructure and product engineers.
- Advise partnerships on what can be achieved with future device hardware.
- Review research code and help other researchers improve implementation quality.
Requirements
- Experience with model training techniques including distillation, small-scale MoE, speculative decoding, and KV-cache compression.
- Ability to design experiments around meaningful model metrics.
- Interest in on-device model deployment, tool use, and agentic post-training.
- Ability to work in person in San Francisco.
- Top-tier relocation and immigration support is available.
Culture & Benefits
- Work on consumer-scale AI agents designed around trustworthiness and reliability.
- Competitive cash compensation and meaningful equity.
- Permission to publish research that is safe to publish.
- Support for relocation and immigration.
Hiring process
- Submit a link to an interesting result, such as a paper, blog post, model card, or GitHub project, with one paragraph explaining its significance.
- Include a resume and Google Scholar or LinkedIn profile.
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