1 year ago
Base Salary
$160k - $230k/yr
Responsibilities
- Design and implement a unified Models API for training, evaluation, and deployment data.
- Maintain backwards compatibility and feature versioning across evolving schemas.
- Build scalable pipelines to ingest, transform, and serve petabytes of data.
- Create CI/CD workflows that keep the API aligned with underlying data schema changes.
- Support fine-grained querying of historical and real-time network data.
- Place as much functionality as possible in the data layer to minimize downstream code.
- Collaborate with modelers on reproducible, debuggable, and fast training and evaluation pipelines.
- Own endpoint performance to meet real-time serving constraints.
Requirements
- Experience designing large-scale data infrastructure across batch and streaming modes is preferred.
- Strong understanding of schema design, versioning, and data quality is needed.
- Ability to design systems that are simple to use and difficult to misuse.
- Interest in partnering closely with research or modeling teams.
- Comfort working in an early-stage environment and building systems from scratch.
Benefits
- Medical, dental, and vision coverage for employees and dependents
- Annual memberships to One Medical, Headspace, and Wellhub
- 401(k) with traditional and Roth options
- Flexible time off
- Commuter benefits
- Parental leave
- Onsite meals at the San Francisco office
Tech Stack
Categories
About Meter
Meter builds and operates managed internet infrastructure for businesses, combining enterprise networking hardware, cloud software, and deployment/monitoring services. The company designs and runs wired and wireless networks as a turnkey service for offices and multi-site enterprises. Founded in 2015 and headquartered in San Francisco, it is privately held and counts organizations such as Bridgewater, Lyft, and Reddit among its customers.