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Founding Backend Engineer - California, United States - Delphina
1 week ago
Description
About Delphina
Today's Data Scientists are in pain - spending their time manually wrangling data, building models through slow trial and error, taking on painstaking rewrites for deployment, and dealing with countless other frustrating bottlenecks.
We founded Delphina to change this: our mission is to help the world get better at using data to understand the present and predict the future.
Delphina leverages a combination of generative AI, large scale optimization, and specialized infrastructure to automate the time-consuming but necessary tasks to build powerful ML models quickly; Delphina will identify relevant data, clean it, train models, and even productionize pipelines.
Our team has previously led large data science and machine learning teams (covering both applications and infrastructure), built startups, and created successful tools for enterprise ML.
What you'll do
We're looking for an experienced Backend Software Engineer to join as a founding team member of Delphina.
As one of our key early hires, you will partner closely with our early team on the direction of our product and drive critical technical decisions.
You will be responsible for:
Architecting, building, and deploying the systems and services underlying our platform.
Partnering with our cross functional team of scientists, researchers, and engineers to transform how machine learning is done.
Ensuring that our systems are reliable, secure, and worthy of our customers' trust.
What we're looking for
Experience with leading and building production systems to deliver on major product initiatives.
Proficiency in at least one programming language commonly used within backend systems, e.g. Go, Python, Scala, or Java.
Energy and ambition to build a product that is surprisingly good in surprising ways.
Intrinsic desire to always be improving our product and yourself.
Growth mindset to both stay ahead of the curve and pick up whatever knowledge you're missing to get the job done.
Nice to havesExperience with large-scale processing technologies and frameworks, such as Spark and Flink
Experience working directly on machine learning – either by partnering with scientists and engineers who are building models, or by building models yourself
Benefits
Equity in the company
Medical, dental, and vision insurance
401k
Unlimited PTO
Top of the line Apple equipment
Free lunch in the office twice a week
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