Research Engineer (AI + Sports) at YinzCam Inc.
Pittsburgh, PA
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Jul 26, 2026
Pittsburgh, PA
Jul 27, 2026
What this job asks for AI summary
A full-time, onsite research engineering role in Pittsburgh focused on building AI systems for live sports video analysis and large-scale game analytics. Work spans computer vision pipelines, spatial and temporal analytics, and fan-facing product features, with an expectation to publish in top-tier venues and collaborate with Carnegie Mellon University researchers. A PhD and a strong publication record are required.
Senior level · Pittsburgh, PA · Doctorate required · Full-time
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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 2 people in the Pittsburgh, PA area plausibly meet what this posting asks for (software developers). range 1–3
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
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 $127,238 (middle half $97,661–$159,195).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role is titled 'Research Engineer' with no explicit seniority level in the title; the level advertised in the title is therefore Unspecified. However, the hard requirement of a PhD plus a strong publication record in top-tier venues (CVPR, ICCV, NeurIPS, etc.) places the actual scope firmly at Senior.
SOC classification is Medium confidence: the role blends applied ML/CV research (15-2051 Data Scientists) with end-to-end software engineering and production deployment (15-1252 Software Developers). The explicit emphasis on building production systems, CI/CD, and full product lifecycle tips the primary classification to 15-1252, with 15-2051 as a close runner-up.
The posting lists 'ML frameworks (PyTorch, TensorFlow)' as a single requirement with two named options; PyTorch is captured as the primary with TensorFlow as an alternative.
Specific CV sub-techniques (semantic/instance segmentation, action recognition, optical flow, pose estimation) are listed as illustrative examples of deep expertise areas within the core requirements section, but framed with 'or related areas' — captured as preferred to reflect that breadth across these is expected but no single sub-technique is a hard gate beyond the overarching computer vision requirement.
No compensation range is stated in the posting.
The posting explicitly states this is a full-time, onsite position in Pittsburgh, PA.
Read the full posting
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