Machine Learning Engineer

The shape of it

In the posting’s own words

Our Applied ML team aims to reform how our users interact with 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 our users to sign up and navigate Stripe. 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. You can learn more about our team’s work from this recent talk .

What it asks for · 4

• Have at least 3 years of experience shipping ML systems in production
• Hold yourself and others to a high bar when working with production systems
• Take pride in taking ownership and driving projects to business impact
• Thrive in a collaborative environment

Also a plus

• 5+ years of experience in full time software development roles
• Experience shipping LLM integrations to user products with high quality
• Experience operating in highly ambiguous environments
• Knowledge about driving a hypothesis from data

What the job covers

• 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?
• Develop pipelines and automated processes to train and evaluate models in offline and online environments
• Integrate ML models into production systems and ensure their scalability and reliability
• Collaborate with product and strategy partners to propose, prioritize, and implement new product features
• Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions

Tools and skills named

Words the posting leans on

• models7×
• production6×
• experience5×
• users5×
• product4×
• systems4×
• ideas3×
• llm3×
• online3×
• take3×
• deploying2×
• development2×
• driving2×
• engineer2×
• ensure2×
• evaluate2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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