Espresso AI | Staff Engineers | NYC ONSITE | Full Tim
We use ML to make data warehouses and spark jobs more efficient. We're hiring staff ML engineers to train models that can understand how much compute a job needs, how it scales to larger machines, whether a machine can run more jobs, and so on; and staff infra engineers to take those models and deploy them on real-world production systems.
If this sounds cool, please email me an intro and a resume: ben [at] espresso [dot] ai
This is what my company does (https://espresso.ai/), I'm taking advantage of the end of year quiet time to hack on some more R&D-style projects we have.
Chiming in, I'm one of the founders of Espresso AI - we do both query optimization and warehouse optimization, both of which are hands-off. In particular we're beta-testing a fully-automated solution for query optimization (it's taken a lot of engineering!).
Based on the responses here I think we're a superset of where baselit is today, but I could be wrong.
We have better tech. For our customers, this translates directly into more savings.
We also have less setup and overhead than most of the other companies in the space. many of them come in with recommendations for system changes that you need to implement, and which they then charge you for; we take about ten minutes to set up and then generate savings automatically.
Espresso AI | https://espresso.ai/careers | Founding Engineer | NYC Onsite| Full-Time
Espresso AI is hiring founding engineers to automate performance engineering, starting with Snowflake data warehouses. Our team worked on ML and performance engineering in Google Search and Google Cloud, and we're applying our expertise to build the world's first neural optimizer.
We're well-funded with paying users, but early enough for you to have significant ownership and impact. Reach out to me directly: ben@espresso.ai.
Espresso AI is hiring founding engineers to automate performance engineering, starting with Snowflake data warehouses. Our team worked on ML and performance engineering in Google Search and Google Cloud, and we're applying our expertise to build the world's first neural optimizer.
We're well-funded with paying users, but early enough for you to have significant ownership and impact. Reach out to me directly: ben@espresso.ai.
How's your health? The brain fog, in particular, jumps out as something that may have other causes. In particular:
* Are you exercising?
* Sleeping well? Sleeping consistently?
* Eating well?
* Getting enough vitamins? Vitamin D is a common, easily fixed deficiency that can cause trouble concentrating; you can get your doctor to test it with a blood draw.
* Any chance you have long covid?
If you physically don't feel good on a daily basis, I would absolutely dial back your work and focus on getting in shape for, say, 2 months. 70+ hours per week clearly isn't getting you where you want, so aim for 40 and put in a hard cap at 50, and get used to the idea that some stuff won't get done. Once you're feeling better, continue keeping reasonable hours and resume studying then.
Even if everything else is fine, you might just be working too much. I think the vast majority of people would have trouble studying after a month straight of oncall and 12-hour days.
We use ML to make data warehouses and spark jobs more efficient. We're hiring staff ML engineers to train models that can understand how much compute a job needs, how it scales to larger machines, whether a machine can run more jobs, and so on; and staff infra engineers to take those models and deploy them on real-world production systems.
If this sounds cool, please email me an intro and a resume: ben [at] espresso [dot] ai