Research
Is an MS a soft requirement for Research Engineer / Post-Training roles? [D]
I’m prioritizing my path and was wondering if an MS is a soft requirement for some of these Research Engineer, Applied Scientist, Post-Training roles. I only have a BS but I work full time as a Data S
I’m prioritizing my path and was wondering if an MS is a soft requirement for some of these Research Engineer, Applied Scientist, Post-Training roles. I only have a BS but I work full time as a Data Scientist and was wondering how I should go about this career transition. I had research experience in Applied ML at my university and I’m currently working on ML models/statistical methods at my current company. Here are the breakdowns for jobs I’m looking at: Cohere MTS Post-Training - https://www.linkedin.com/jobs/view/4259504707/ PhD - 22% Masters - 48% BS/other - 30% Research Engineers, Post-Training - https://www.linkedin.com/jobs/view/4458055063/ PhD - 26% Masters - 52% BS/other - 22% Garner Health Associate Applied Scientist - https://www.linkedin.com/jobs/view/4465195772/ Masters - 56% BS/other - 44% My question is, will a BS ever get hired here? Or do they need some other exceptional qualifications to make up for it (conference paper, workshop paper, or other publications). Do projects matter at all anymore? submitted by /u/jacobnar [link] [comments]
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Source: r/MachineLearning | 2026-10-13