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Machine Learning Engineer (NLP)
Machine Learning Engineer (NLP)Tonic.ai • San Francisco, CA, United States
Machine Learning Engineer (NLP)

Machine Learning Engineer (NLP)

Tonic.ai • San Francisco, CA, United States
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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

  • 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
  • Bonus Points

  • 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
  • Why You’ll Love It Here

  • 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
  • Benefits

  • 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
  • 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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    Machine Learning Engineer • San Francisco, CA, United States

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