Senior Machine Learning Engineer

Be a Machine Learning Privacy Pioneer at DataGrail (US Remote – $180k-$200k)

Make history building the future of privacy at DataGrail!

DataGrail is a mission-driven company that empowers trusted brands like Databricks and HashiCorp to give users control over their data.

We’re looking for a Machine Learning Engineer to:

• Help us transform privacy from compliance to proactive risk management and user control.
• Build and productize cutting-edge machine learning models to classify personal data.
• Design solutions with privacy by design principles to minimize inherent risk.

You’re a Perfect Fit If You Have:

• Expertise in machine learning, deep learning, and statistical modeling.
• A passion for solving complex data challenges.
• Proficient Python coding skills and experience with TensorFlow, PyTorch, or scikit-learn.
• A pragmatic understanding of foundation models (LLMs) and their applications.
• A collaborative spirit to build impactful products, not just technical feats.
• A bias for action and a focus on measurable results.
• Knowledge of data processing and storage (SQL/NoSQL).

Bonus Points for:

• Experience with data privacy regulations (GDPR, CCPA).

Your Growth Journey at DataGrail:

• Within 90 days: Deep dive into DataGrail’s platform, models, and ML infrastructure.
• Within 180 days: Collaborate on ML projects, improve model performance, and optimize data pipelines.
• Within 365 days: Lead research on new ML techniques for data privacy, identify
• platform enhancements, and contribute to industry thought leadership.

We Offer:

• Competitive salary ($180k-$200k USD) and equity.
• Remote work (US).
• Unlimited paid time off (plus mandatory vacations!).
• Generous health insurance (medical, dental, vision).
• 401(k) plan.
• Monthly remote office stipend or UberEats meal program.
  And much more!
• DataGrail is an equal opportunity employer.

Ready to make a real impact on the future of privacy? Apply today!