Machine Learning Engineer (NLP)

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.

• 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.

• 3+ years of professional experience in applied ML or data science with a focus on NLP

• Proficiency in Python and deep learning frameworks such as PyTorch and Hugging Face Transformers

• Hands-on experience with experiment tracking (e.g., Weights & Biases), distributed training (e.g., Accelerate), and model serving (e.g., vLLM)

• Comfort working independently and iterating quickly — you enjoy the mix of research, engineering, and product thinking

• Strong communication and collaboration skills

• Experience with supervised and reinforcement learning fine-tuning (e.g. TRL)

• Familiarity with data privacy, PII redaction, or healthcare data

• A public portfolio, blog, or open-source contributions that demonstrate your technical depth and curiosity

• High autonomy and meaningful ownership — your models will ship to production, not sit in a notebook

• Small, collaborative team with deep expertise in NLP and privacy

• Opportunity to work with real-world, high-impact data in domains like healthcare and financial services

• Competitive salary and company equity

• Unlimited PTO and generous parental leave

• Medical, dental, and vision insurance

• 401(k) with employer contribution

• Remote-friendly work environment

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.