What kind of engineers work there and how interesting is the work? Asking for a friend. Seems like an interesting group. TIA
Lot of Einstein's models are based on Spark ML. Think of it as an automated library to run various ML models and automatically tune hyperparameters. AFAIK no-GPU based deep learning models in production yet (although it'll be coming very soon)
Salesforce is slow to adapt machine learning compared to top names (Google, Facebook), not because of lack of engineering ability but because of our customer's slow response to new technologies / their dislike for change in existing sales workflow. Hopefully this can change soon.
Spark ML? Why do you need to use Spark for ML model trainings?
Dumbintern are you a summer intern on einstein? Are you getting a return offer? Did you like your project there?
While not intern at Einstein, I was summer intern at the ML team at SalesforceIQ and worked closely with the Einstein engineering team, since my team provided a lot of use-cases and requirements for their libraries. Maybe you may know my superior, who was a frequent contact at Databricks & board member of Apache Spark project. I currently have a return offer.
I enjoyed my project, especially since while there are a lot of consumer-focused AI products out there there aren't a lot of business/sales centric AI products. The data that salesforce has is extremely rare to come by (no sane company will release their sales data publicly, etc). The downside is that generating actionable results in sales context aren't so simple, so the work maybe challenging (there are many factors that come into play in sales, what we can infer from Crm/email data are limited).
Do you know which specific team? Many teams fall under the Einstein umbrella. Previous posts sound like 2 teams out of maybe a dozen out there.
I know that PredictionIO definitely was purchased for Einstein and also Metamind. There is also the Inbox thing because Alexi Roos gave a keynote at spark summit. Just wondering if all these people work together and if it is a good place to be in salesforce
I was taking about Alexi Roos, and yes we all do work together.
It is a great place to be in Salesforce. Having worked with all these teams (RelateIQ/salesforeIQ, Einstein, and Metamind) at various stages I can tell you that the people across these groups are smart, humble, and accomplished. Great people to learn from and work with.
I find the hardest part is explaining the difference between ML (lead scoring / next best product etc) and traditional predictive/logistic and linear regression appropriate use cases to our customers...ie handcuffed ML with SCE vs free reign predictive/discovery with beyondcore.
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+1: curious about the average education level and experience
The research focused Metamind (now called Salesforce Research) is all PhD & Masters. On the engineering side of Einstein is mostly bachelors.