Tech Lead Manager, AI/ML Engineering (East Coast) at NBCUniversal
New York, NY
$245,000–$270,000from the description
Jun 30, 2026
New York, NY
Jul 21, 2026
What this job asks for AI summary
A leadership role managing a team of roughly ten machine learning engineers building ML applications on a graphically intensive simulation platform. The manager bridges platform stakeholders and engineers — translating domain requirements into technical specs, prioritizing between commercial, open-source, and greenfield solutions, and overseeing the full ML lifecycle from data infrastructure through deployment. Suits someone with a consulting-oriented background in complex, multi-disciplinary technical environments.
Senior level · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
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 9,800 people nationally plausibly meet what this posting asks for (computer and information systems managers). range 2,850–14,700
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 $178,991 (middle half $141,096–$225,584). 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 (11)
The role is titled 'Tech Lead Manager/Engineering Manager' and explicitly requires ~10 direct reports, hiring/developing a team, and stakeholder management — primary day-to-day work is people and program management, making 11-3021 the best fit. However, the role also demands deep ML fluency, so 15-2051 is a credible runner-up.
The title carries 'Manager' but no explicit seniority level word (Junior/Senior/etc.); 'Senior' is used for the level advertised in the title because the scope (managing ~10 reports, customer-facing, cross-functional leadership) clearly maps to a senior management band.
Fluency with the full ML lifecycle (data infrastructure, training, deployment) is stated in the required qualifications block and treated as a hard gate, even though it names no single tool.
Python, Git, PyTorch, and Unix shell are explicitly marked 'preferred' in the posting.
Jira/Confluence, Slack, a Git server, an experiment tracking framework, and a data dashboard appear under a 'familiarity with collaborative tools' sentence in the qualifications section — listed as context/familiarity rather than firm gates; treated as preferred.
Visual computing and game engines are explicitly marked 'preferred' in the posting.
AWS, ETL orchestration, Agile/Scrum, and a graduate degree all appear under the 'Nice to have' section.
No overall years-of-experience floor is stated numerically; the requirement for ~10 direct reports and a consulting-mindset AI/ML team background implies a senior-level practitioner but no specific number is given.
Graduate degree (AI/ML/Data Science/Visual Computing) is listed under 'Nice to have' — not a hard degree requirement.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): machine learning lifecycle, ETL orchestration.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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