As a Senior ML Data Engineer, you will help shape and expand the pipelines that power our products and research efforts. You’ll work across teams to design, maintain, and improve high-performance data pipelines, ensuring that data is accessible, reliable, and scalable to meet the needs of our users and internal stakeholders.
Requirements
- Maintain, extend, and improve existing data/ML workflows, and implement new ones to handle high-velocity data.
- Provide interfaces and systems that enable ML engineers and researchers to build datasets on demand.
- Influence data storage and processing strategies.
- Collaborate with the ML team, as well as frontend and backend teams, to build out our data platform.
- Reduce time-to-deployment for dashboards and ML models.
- Establish best practices and develop pipelines and software that enable ML engineers and researchers to efficiently build and use datasets.
- Work with large datasets under performance constraints comparable to those at the largest companies.
- Iterate quickly, with a focus on shipping early and often, ensuring that new products or features can be deployed to millions of users.
Benefits
- Fully remote position with flexible working hours.
- An inspiring team of colleagues spread all over the world.
- Pleasant, modern development and deployment workflows: ship early, ship often.
- High impact: lots of users, happy customers, high growth, and cutting-edge R&D.
- Flat organization, direct interaction with customer teams.
