Machine Learning Engineer, New Grad - Quora (Remote) at Quora
$107,360–$152,900from the description
Jul 7, 2026
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Jul 21, 2026
What this job asks for AI summary
A machine learning engineering role focused on building and shipping AI-powered features within Quora's core product, with an emphasis on large language models and generative AI. Day-to-day work spans model development, prompt engineering, A/B testing, and keeping production systems reliable, fast, and cost-efficient. Suited to recent or upcoming graduates with a solid ML foundation and some exposure to LLM or transformer-based applications.
Junior level · Remote · Bachelor's required · 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 9,400 people nationally plausibly meet what this posting asks for (data scientists). range 3,950–14,100
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 (8)
This is an entry-level / new-grad role: minimum requirements explicitly call for a 2025 or 2026 graduate with or pursuing a B.S., M.S., or Ph.D. Seniority is set to Junior accordingly.
The degree requirement is a hard gate (B.S., M.S., or Ph.D. in CS or related field), but because the JD also accepts candidates 'pursuing' a degree, the minimum hard floor is a Bachelor's.
The role sits between ML engineering (model development, LLMs, experimentation) and software development (productionization, scalable systems). 15-2051 Data Scientists is chosen as primary given the emphasis on ML algorithms, model development, and experimentation; 15-1252 Software Developers is the close runner-up given the production engineering and coding emphasis.
Compensation figures shown are for US candidates only (USD). Canadian ranges are also offered in the posting (CAD): $137,852–$157,061 for Toronto/Vancouver; $128,661–$146,590 for other Canadian locations.
Python and C++ are listed as interchangeable alternatives in the minimum requirements ('Knowledge of Python or C++, or the ability to learn them quickly'); Python is named as primary.
Prompt engineering and AI agents appear in the responsibilities/preferred sections respectively and are marked preferred rather than hard gates.
No overall years-of-experience requirement is stated; this is a new-grad posting.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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