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. Youll 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.<h2>What You’ll Do</h2><ul><li>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.</li><li>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.</li><li>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.</li><li>Experiment responsibly. Document your experiments, evaluate results rigorously, and help push the frontier of safe and explainable AI for data privacy.</li></ul><h2>What You’ll Bring</h2><ul><li>3+ years of professional experience in applied ML or data science with a focus on NLP</li><li>Proficiency in Python and deep learning frameworks such as PyTorch and Hugging Face Transformers</li><li>Hands-on experience with experiment tracking (e.g., Weights &amp; Biases), distributed training (e.g., Accelerate), and model serving (e.g., vLLM)</li><li>Comfort working independently and iterating quickly — you enjoy the mix of research, engineering, and product thinking</li><li>Strong communication and collaboration skills</li></ul><h2>Bonus Points For:</h2><ul><li>Experience with supervised and reinforcement learning fine-tuning (e.g. TRL)</li><li>Familiarity with data privacy, PII redaction, or healthcare data</li><li>A public portfolio, blog, or open-source contributions that demonstrate your technical depth and curiosity</li></ul><h2>Why You’ll Love It Here</h2><ul><li>High autonomy and meaningful ownership — your models will ship to production, not sit in a notebook</li><li>Small, collaborative team with deep expertise in NLP and privacy</li><li>Opportunity to work with real-world, high-impact data in domains like healthcare and financial services</li></ul><h2>Benefits</h2><ul><li>Competitive salary and company equity</li><li>Unlimited PTO and generous parental leave</li><li>Medical, dental, and vision insurance</li><li>401(k) with employer contribution</li><li>Remote-friendly work environment</li></ul><h2>About Tonic.ai</h2>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.

Tonic.ai

Machine Learning Engineer (NLP)

Tonic.ai

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