Staff Machine Learning Engineer, Applied ML Accelerator

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The newly formed Productivity ML Accelerator team aims to reform productivity across Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include helping our users resolve issues with Stripe faster or making it easier for data scientists to write SQL queries. We are using the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production.

What you’ll do

We are looking for experienced Machine Learning Engineers who will be responsible for analyzing opportunities, proposing ideas, training & evaluating ML models, running experiments, and deploying everything to production. You will also have the opportunity to contribute to and influence ML architecture at Stripe as well as be a part of a larger ML community.


Our team operates fluidly and here are some problems you may tackle:

  • Which Text2SQL algorithm should we implement? What are the tradeoffs?
  • How do we evaluate a system offline & online?
  • How do we improve performance to match (and beat) humans?
  • How do we ensure model quality doesn’t degrade online?
  • Does fine-tuning an LLM give us better performance?
  • What are the right OSS and in-house platforms we should invest in?

Who you are

We are looking for ML Engineers who are passionate about using ML to improve products and delight customers. You have experience developing streaming feature pipelines, building ML models, and deploying them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action.

Minimum requirements

  • At least 7 years of industry experience doing end-to-end ML development on a machine learning team and bringing ML models to production
  • Advanced degree in a quantitative field (e.g. computer science, statistics, physics, …)
  • Proficient in Python, Scala, Spark

Preferred qualifications

  • Knowledge about how to manipulate data to perform analysis, including querying data, defining metrics, or slicing and dicing data to evaluate a hypothesis.
  • Experience evaluating niche and upcoming ML solutions

Hybrid work at Stripe

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

Pay and benefits

The annual US base salary range for this role is $253,500 - $380,300. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Office locations

South San Francisco HQ


Data & Data Science

Job type

Full time

Please find our California applicant personal information notice here.

We look forward to hearing from you

At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.