Offer summary
Qualifications:
Expertise in ML, deep learning, statistics, Proficiency in Python, TensorFlow, PyTorch.Key responsabilities:
- Develop ML models for privacy management
- Collaborate with teams to drive value
At DataGrail, we believe privacy is a human right. We believe every individual should have control over their identity and personal data. This is one of today’s most important challenges.The world’s best brands understand this–they’re built on trust. We help the most trusted brands like Databricks, HashiCorp, and other known and admired organizations. We're looking for a Machine Learning Engineer to help us continue to deliver products that solve our customers' most important privacy challenges.
In this role, you’ll help us transform the privacy space from a world of compliance to one that is proactive about managing privacy risk and giving users more control over their data.
This is a great opportunity to solve these challenges at scale in a small, agile, and growing company with impressive growth rates and trajectory working closely with our Co-founder and a team of cross-functional individuals that are passionate about building the most trusted privacy platform.
Our mission is to give our customers back control over their data, so they can continue to focus on growing their brands and the relationships with their customers who, more than ever, demand more transparency and control. That starts with knowing where the data is and what it is. Humans can’t do this accurately at scale when they have hundreds of systems, thousands of tables/datasets, and potentially millions of columns or data elements. You’ll help us build and productize state-of-the-art machine learning models that classify personal data across internal and third-party data sources and rethink ways to minimize its inherent risk with privacy by design principles.
Please note that the compensation range below is a guideline and final compensation will be based on factors such as qualifications, skill level, and competencies.
DataGrail is the Privacy Control Center modern brands rely on to build customer trust and outsmart business risk. Backed by 2,000+ pre-built integrations, DataGrail automates privacy workflows and supports compliance with regulations like GDPR and CPRA. DataGrail is recognized as a G2 leader and services millions of consumers through customers like Salesforce, Amazon, Overstock, and New Balance.
Benefits & Perks:
DataGrail provides equal opportunities for everyone that works for us and everyone that applies to join our team, without regard to sex or gender, gender identity, gender expression, age, race, religious creed, color, national origin, ancestry, pregnancy, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, any service, past, present, or future, in the uniformed services of the United States (military or veteran status), or any other consideration protected by federal, state, or local law. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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