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Physics PhD candidate seeks transition to ML Engineering role

A Ph.D. candidate in electrical engineering with a focus on quantum optics and photonics is seeking advice on transitioning into a Machine Learning Engineering role. The individual highlights extensive software development experience, participation in coding competitions, and several ML-based research projects, including one focused on SiC grating design optimization and another using ML for qubit control. They are particularly interested in Physics-Informed Neural Networks (PINNs) and other physical applications of ML, and are looking for insights from others who have made similar career transitions, especially those with a physics background. AI

RANK_REASON User query seeking career advice within the ML field.

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Physics PhD candidate seeks transition to ML Engineering role

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0 / 100
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Commentary
User query seeking career advice within the ML field.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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other
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High
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Story freshness
46 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Plane_Telephone9433 ·

    Prospects of Finding a ML Engineering Job [D]

    <!-- SC_OFF --><div class="md"><p>Hello all,</p> <p>I am wondering if a transition from a Ph.D. in electrical engineering (Quantum optics/photonics) to a job in ML is a reasonable aspiration. Personally, I have extensive software development experience competing and winning numer…