Applied AI Scientist, Language + Context at Echo Neurotechnologies
San Francisco, CA
$180,000–$230,000
Jul 25, 2026
San Francisco, CA
Jul 26, 2026
What this job asks for AI summary
A role focused on building and refining language and context models for brain-computer interface applications aimed at users with physical disabilities. Day-to-day work spans fine-tuning and miniaturizing language models, constructing real-time ML pipelines that process audio, video, and application-state inputs, and extracting latent representations from large pretrained models. Best suited to an ML practitioner with solid hands-on experience deploying transformer-based language models in industry settings.
Senior level · 5+ years · Bachelor's required · Full-time
Pay in the description: $180,000–$230,000
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
No work location or city is specified in the posting; CBSA and state fields are left blank. The role may be on-site at an unstated location or remote — remote=false is a conservative default given the startup/lab context and absence of any remote language.
The title 'Applied AI Scientist' carries no seniority level word, so the title states no level; the 5+ years requirement and industry-deployment scope support a Senior classification.
The degree requirement states 'Bachelor's or Master's' with no 'or equivalent experience' escape — Bachelor's is treated as the minimum hard gate.
GPU software toolkits (CUDA, cuDNN, etc.) are required; 'CUDA' is used as the canonical representative name for that requirement.
The alt SOC (15-1252 Software Developers) reflects that the role involves substantial model engineering and pipeline development, not purely statistical analysis — the primary classification of 15-2051 wins on the ML/AI modeling emphasis.
All 'Other Qualifications' items are listed under a clearly secondary heading and are marked as preferred accordingly.
Read the full posting
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