ML Engineer, Agentic Systems at Mirage
New York, NY
$175,000–$275,000
Jul 12, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
This role centers on building and improving agentic systems powered by large language models, with a particular focus on video as the target medium. Day-to-day work spans designing training objectives and fine-tuning strategies, running experiments to evaluate agent behavior, and diagnosing failure modes across planning, tool use, and execution. It suits engineers with hands-on experience in production ML systems and modern LLM techniques who are comfortable owning work from model experimentation through to deployment.
Senior level · New York-Newark-Jersey City, NY-NJ-PA · Bachelor's required · 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
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $170,499 (middle half $133,523–$210,499).
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 title is 'ML Engineer' with no seniority modifier, but the scope — owning the full stack from model experiments to deployed agent systems, designing novel training objectives and evaluation frameworks — is consistent with a Senior-level individual contributor.
The SOC classification is a judgment call: the role sits between Software Developers (15-1252, building end-to-end agentic systems) and Data Scientists (15-2051, training/fine-tuning LLMs, experimental rigor). The primary day-to-day emphasis on building and shipping production agentic pipelines tips it toward 15-1252, with 15-2051 as a close runner-up.
Degree requirement: the JD lists 'BS/MS/PhD in CS, ML, or related field' under the qualifications section without an 'or equivalent experience' escape — treated as a hard Bachelor's minimum.
Alignment and post-training methods (e.g. RLHF, DPO) are called out as preferred experience ('especially for adapting models…') rather than a standalone hard gate, so listed as preferred.
No compensation range is disclosed in the posting.
The role is explicitly in-person at the NYC Union Square HQ; remote is not offered.
Read the full posting
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