Is an MS a soft requirement for Research Engineer / Post-Training roles? [D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
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?
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