Research Scientist – AI at Jobgether
$100,000–$150,000from the description
Jul 20, 2026
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Jul 22, 2026
What this job asks for AI summary
A research scientist role focused on applied AI, spanning the full development lifecycle from experimentation to production deployment. The work covers deep learning, large language models, natural language processing, computer vision, and recommendation systems, with responsibilities including model training and evaluation, building ML pipelines, dataset development, and mentoring engineering teams. Suits a candidate with both strong research grounding and hands-on ML engineering experience.
Senior level · 6+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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
Roughly 10,700 people nationally plausibly meet what this posting asks for (data scientists). range 4,500–16,100
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
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)
The role is titled 'Research Scientist – AI' with no explicit seniority level in the title, so advertised seniority is Unspecified; the 6+ years requirement and end-to-end ownership of AI lifecycle (research through production) support a Senior classification.
The degree requirement states 'Master's or PhD… or equivalent applied experience,' making the degree non-mandatory; degree requirement is set to None accordingly.
The role is genuinely hybrid between Data Scientist (ML research, modeling, statistical foundations) and Software Developer (production ML pipelines, engineering collaboration). Data Scientist is the primary classification given the explicit research scientist framing, benchmarking, ablation studies, and publication emphasis.
Distributed training, mixed-precision training, and accelerator-based computing are listed together in the Requirements section; 'distributed training' is used as the canonical skill name to represent this cluster.
LLMs, RAG, agent-based AI, multimodal architectures, responsible AI practices, and open-source contributions all appear under 'Preferred qualifications' and are marked accordingly.
The posting is listed via Jobgether on behalf of an unnamed partner company; the actual employer and precise location are not disclosed beyond 'United States, fully remote.'
Read the full posting
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