Founding Machine Learning Engineer

SupportFinity™; San Francisco (CA); On-site; USD 115,000 - 250,000; Full time

Job summary

SupportFinity™ is seeking an experienced product engineer in San Francisco to build a world-class AI product. You will architect and scale machine learning pipelines while deeply understanding customer needs and iterating quickly without sacrificing quality.

The ideal candidate will have a growth mindset, experience in scaling applications, and a passion for AI tools. The compensation range is between $115K and $250K, and you must be in person in San Francisco or willing to relocate.

Qualifications

• Proven experience in balancing short-term and long-term speed.
• Experience in building or using AI products and tools.
• Commitment to high-quality product design.

Responsibilities

• Build out a world-class product servicing millions of requests.
• Architect, implement, and scale ML pipelines.
• Iterate quickly without compromising quality.

Skills

Experience scaling applications

Interest in AI products and tools

Growth mindset

Job description

Raindrop is building Sentry for AI Agents. Engineering teams at companies use Raindrop to get alerts about silent failures with their AI agents. Raindrop sends alerts when AI agents misbehave and links straight to the events, so AI engineers can dig into the conversations or traces, understand the root cause, and fix it, fast.

Why It Matters

AI agents fail constantly in ways both hilarious and terrifying. Regular software throws exceptions. But AI agents fail silently, leaving engineers with almost no visibility into how their agents are actually performing. The current status quo is sifting through millions of logs and trying to debug flaky evals that just aren't matching real-world results. Evals are like unit tests, they confirm your model got specific test cases right. But in the real world agents call thousands of tools, run for hours, and encounter millions of unpredictable actions. That’s where Raindrop comes in. It learns the unique shape of each AI agent’s issues. Starting from presets like Laziness, Forgetting, or Task Failure, to automatically tuning itself to each agent. With one click of a button, AI engineers start tracking issues or topics across 100% of their production data. They can see frequency over time, how many users are affected, relevant properties, and more. In order to process hundreds of millions of events, we gradually train small, custom models, private to each company, that learn to uniquely understand how their product is used.

Your Focus

• Build out a world-class product - servicing millions of requests a day + growing.
• Architect, implement, and scale ML pipelines.
• Quick iteration without compromising on quality.
• Deeply understand the customer.

Ideal Candidate

• Knows how to balance short-term and long-term speed.
• Proven experience scaling applications.
• Interest in AI products + tools (ideally experience building these or an avid user).
• Growth mindset.
• Cares about building well-designed products.
• Willing to do whatever it takes to solve a problem.
• Must be in person in San Francisco (or willing to move).

Compensation Range: $115K - $250K