A 2021 VC backed startup is transforming the patent system using AI, handling every patent document ever created (15+TB of data and 500M+ embeddings). We’re looking for a Senior Software Engineer to own the data and machine learning infrastructure.

What You’ll Do:

1. Build and maintain scalable ML infrastructure and data pipelines.
2. Handle massive vector databases and embeddings (≥500M vectors).
3. Architect distributed systems that process 20M+ API requests daily.
4. Optimize cloud infrastructure on Google Cloud for performance and cost.
5. Own end-to-end ETL and ML pipelines processing multi-TB datasets.

Tech Stack:

Python | GCP | Postgres / pgvector | Kubernetes | Celery | RunPod | CUDA

Why Join:

1. Work with massive, industry-defining datasets.
2. Be part of an early-stage startup with high exit potential.
3. Join a non-toxic, flexible culture (flexible & empathetic Founders, no weekend crunch).
4. Competitive salary $250K + equity, with the opportunity to shape the future of legal tech.

Who You Are:

1. 5–12 years of experience in backend, data, or ML infrastructure engineering (with GCP).
2. Proven track record scaling and optimizing distributed systems / ML infrastructure.
3. Experienced in GPU training, CUDA debugging, and cloud cost optimization.
4. CS degree from a top 20 university preferred.
5. Enjoys end-to-end ownership in early-stage startups, not just big-tech specialisation.

Apply now if you’ve built ML pipelines at scale and want ownership of infrastructure that powers cutting-edge AI.

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