Machine Learning Engineer (NLP)

Overview

Tonic.ai is looking for a hands-on Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products. You’ll join a small, experienced team working at the intersection of LLMs, data privacy, and applied AI — developing and fine-tuning models that detect and redact sensitive information across diverse datasets.

Base pay range

$125,000.00 / yr - $175,000.00 / yr

Responsibilities

• Build and ship models. Fine-tune and evaluate transformer-based models (e.g., RoBERTa, Gemma, LLaMA) to support PII redaction, entity extraction, and synthetic data generation.
• Own the ML lifecycle. From dataset curation and experiment tracking to model deployment and monitoring — you’ll own the full path from prototype to production.
• Collaborate cross-functionally. Partner with Product and Design to shape how ML models drive user-facing features, and work with the broader engineering team to integrate them into scalable systems.
• Experiment responsibly. Document your experiments, evaluate results rigorously, and help push the frontier of safe and explainable AI for data privacy.

Qualifications

Bonus Points

Why You’ll Love It Here

Benefits

About Tonic.ai

Tonic.ai creates safe, high-quality synthetic data that helps developers move fast while protecting sensitive information. Thousands of engineers rely on Tonic-generated data daily to power development, testing, and CI / CD pipelines across industries including healthcare, financial services, logistics, and education. We’re growing fast and looking for builders who want to make privacy practical.

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