Deep Learning Engineer
Occulytics Inc. · Chicago, IL
—
Jul 12, 2026
Chicago, IL
Jul 20, 2026
What this job asks for AI summary
A remote deep learning engineering role focused on building and deploying predictive models for the senior living industry — covering market forecasting, customer segmentation, and lead scoring against demographic and behavioral data. The work spans model architecture design, data pipeline construction, MLOps, and production deployment, with ongoing collaboration across data science and product teams. Suits engineers with at least three years of hands-on production ML experience.
Mid level · 3+ years · Remote
“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 3,500 people nationally plausibly meet what this posting asks for (data scientists). range 2,100–6,300
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 $122,874 (middle half $87,544–$162,374).
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 (8)
SOC classification is a genuine toss-up: the role is titled 'Deep Learning Engineer' and emphasizes model development, MLOps, and data pipeline engineering (signals toward 15-1252 Software Developers), but the core work — predictive modeling, segmentation, forecasting, and extracting insights from behavioral/demographic datasets — maps more naturally to 15-2051 Data Scientists. 15-2051 was chosen as primary; 15-1252 is the close runner-up.
PyTorch and TensorFlow are listed together as interchangeable framework options in the requirements block; PyTorch is named first and used as the primary skill with TensorFlow in alternatives.
Cloud platform experience (AWS, GCP, Azure) is listed as a single requirement with interchangeable options; AWS is used as the primary with GCP and Azure as alternatives.
MLflow and Weights & Biases are listed as interchangeable MLOps tool options; MLflow is primary with Weights & Biases as the alternative. The 'or similar' qualifier means the specific tool is flexible, but MLOps tooling experience itself is a hard gate.
Consumer behavior modeling, demographic analysis, market research, and customer analytics experience are explicitly called 'preferred' and 'a plus' in the Domain Knowledge section — treated as preferred accordingly.
No compensation range is stated in the posting.
Ignored 3 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): predictive modeling, consumer behavior modeling, demographic analysis.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.