Staff Machine Learning Engineer, Applied ML Accelerator

Stripe

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Who we’re

About Stripe

Stripe is a monetary infrastructure platform for companies. Tens of millions of corporations—from the world’s largest enterprises to essentially the most formidable startups—use Stripe to just accept funds, develop their income, and speed up new enterprise alternatives. Our mission is to extend the GDP of the web, and we now have a staggering quantity of labor forward. Which means you could have an unprecedented alternative to place the worldwide financial system inside everybody’s attain whereas doing an important work of your profession.

In regards to the staff

The newly fashioned Productiveness ML Accelerator staff goals to reform productiveness throughout Stripe. We’re doing so by (a) automating the simple duties, and (b) helping our customers within the troublesome duties. Some examples embrace serving to our customers resolve points with Stripe quicker or making it simpler for information scientists to put in writing SQL queries. We’re utilizing the most recent LLMs in addition to fine-tuning our personal fashions. We’re an end-to-end staff going from concepts to fashions to transport in manufacturing.

What you’ll do

As a machine studying engineer, you may be accountable for analyzing alternatives, proposing concepts, coaching & evaluating ML fashions, working experiments, and deploying every part to manufacturing. Additionally, you will have the chance to contribute to and affect ML structure at Stripe in addition to be part of a bigger ML neighborhood.

Tasks

Our staff operates fluidly and listed here are some issues you could deal with:

  • Which Text2SQL algorithm ought to we implement? What are the tradeoffs?
  • How will we consider a system offline & on-line?
  • How will we enhance efficiency to match (and beat) people?
  • How will we guarantee mannequin high quality doesn’t degrade on-line?
  • Does fine-tuning an LLM give us higher efficiency?
  • What are the proper OSS and in-house platforms we must always put money into?

Who you might be

We’re searching for ML Engineers who’re captivated with utilizing ML to enhance merchandise and delight prospects. You might have expertise creating streaming characteristic pipelines, constructing ML fashions, and deploying them to manufacturing, even when it includes making substantial adjustments to backend code. You might be snug with ambiguity, like to take initiative, and have a bias in direction of motion

Minimal necessities

  • Not less than 5 years of trade expertise doing end-to-end ML improvement on a machine studying staff and bringing ML fashions to manufacturing
  • Superior diploma in a quantitative discipline (e.g. laptop science, statistics, physics, …)
  • Proficient in Python, Scala, Spark

Most popular {qualifications}

  • Data about the best way to manipulate information to carry out evaluation, together with querying information, defining metrics, or slicing and dicing information to judge a speculation.
  • Expertise evaluating area of interest and upcoming ML options

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