Row 37271

Row ID: 37271 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 37271 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Software Engineer to ML engineer is an easier transition. And personally I find that the role involves far more dev work than data science.

I got hired as a standard backend developer a year ago and transitioned into an MLE about a month into it because of a data extraction project.

I don't think it's an ideal role for new grads unless it gets simpler. It's very much a 'do everything' role. The amount of known unknowns (being an inexperienced junior) and unknown unknowns (LLM application is very immature) can be very overwhelming. Especially if you have little guidance (it's a fast moving field for seniors too), have to communicate expectations/timelines for your projects, have tight deadlines, or are assigned 'impossible' projects set by people who don't fully understand the strengths/limits of ML.

I have absurd amounts of self confidence and a chill company so it worked out for me.

FieldValue
text Software Engineer to ML engineer is an easier transition. And personally I find that the role involves far more dev work than data science. I got hired as a standard backend developer a year ago and transitioned into an MLE about a month into it because of a data extraction project. I don't think it's an ideal role for new grads unless it gets simpler. It's very much a 'do everything' role. The amount of known unknowns (being an inexperienced junior) and unknown unknowns (LLM application is v…
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-21
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Raw Record

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  "text": "Software Engineer to ML engineer is an easier transition. And personally I find that the role involves far more dev work than data science. \n\nI got hired as a standard backend developer a year ago and transitioned into an MLE about a month into it because of a data extraction project.\n\nI don't think it's an ideal role for new grads unless it gets simpler. It's very much a 'do everything' role. The amount of known unknowns (being an inexperienced junior) and unknown unknowns (LLM application is very immature) can be very overwhelming. Especially if you have little guidance (it's a fast moving field for seniors too), have to communicate expectations/timelines for your projects, have tight deadlines, or are assigned 'impossible' projects set by people who don't fully understand the strengths/limits of ML.\n\nI have absurd amounts of self confidence and a chill company so it worked out for me.",
  "label": "r/datascience",
  "dataType": "comment",
  "communityName": "r/datascience",
  "datetime": "2024-05-21",
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