AI/ML Engineer

You've shipped ML in production. Not research, not demos. Real systems that earn user trust.

RemoteFull-time

The kind of person we’ll make room for

Shipped ML systems that real users rely on, not academic projects.
Fluent across the stack: data pipelines, training, eval, deployment, observability.
Comfortable with LLMs, embeddings & retrieval-augmented systems in production.
Obsess over latency, cost & correctness. Not just accuracy on a benchmark.
Can take a messy real-world problem & turn it into a data problem worth solving.
Care about user privacy as much as model quality.

No trick questions, no leaderboards, no 12-week funnels. Here is exactly how the process goes.

Application reviewed
One question asked
We look at your experience & your work. Every applicant answers one question: what would you change about rememberr? It tells us more than any CV.
Culture fit
30-minute video call
A casual conversation about what you're looking for, what we're building & whether there's a mutual fit.
Technical interview
45 minutes, varies by role
A practical conversation about how you think & work. No live coding. No trick questions. Real discussion about real problems.
Paid workday
Paid, remote
You'll work on a real problem for a day. We pay you for your time. It's the best way for both sides to see what working together actually feels like.
Offer
If it's a fit
If everyone's aligned, we move fast. A clear offer with salary, equity & everything you need to make your decision.