Engineering Lead, ML Infrastructure + Data Engineering
full-time•on-site•San Francisco, Seattle•$175k - $225k+ Competitive
About this role
About This Role
We’re adding a EM/TL to our team to build and scale our FinTech core. You'll work closely with business operations and the product engineering team to deliver a backend services that just work. Projects may include automated ledger reconciliation systems, integration with AI/ML models, managing real time and batch data pipelines and optimizing our workflows with devops and developer experience products.
This is a high growth opportunity with the opportunity to hone your leadership skills while managing significant scale and complexity.
At Grid, everyone on the team is technical and hands on: You'll have the opportunity to design, develop and operate Grid's most mission-critical systems end to end. Unlocking scale and getting our customers one step closer to financial freedom, your work "behind the scenes" will be at the forefront of Grid's ongoing success and growth.
Interview process
- 1Interview
What you'll do
- Lead a small team of backend engineers
- Serve our AI/ML team with infrastructure for training and online inference
- Design, develop and operate a core data systems for ingestion, warehousing and analysis
- Operate and scale our internal treasury management APIs
- Debug, quantify and minimize exceptions
- Set up sustainable best practices for DevOps and FinOps, including monitoring and analytics
- Champion new practices to improve customer experience and enable exponential growth
- Lead and own projects end to end
About Grid
Bandwidth monetization platform. Users share unused internet bandwidth and get paid by companies scraping public data for AI training. Connects supply of idle bandwidth with demand for web data collection.
Our culture
- Early-stage startup
- Bandwidth sharing economy model
- AI data pipeline focus
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Frequently Asked Questions
What does Grid pay for a Engineering Lead, ML Infrastructure + Data Engineering?
Grid offers a competitive compensation package for the Engineering Lead, ML Infrastructure + Data Engineering role. The salary range is USD 175k - 225k per year, plus Competitive equity. Apply through Clera to learn more about the full compensation details.
What does a Engineering Lead, ML Infrastructure + Data Engineering do at Grid?
As a Engineering Lead, ML Infrastructure + Data Engineering at Grid, you will: lead a small team of backend engineers; serve our AI/ML team with infrastructure for training and online inference; design, develop and operate a core data systems for ingestion, warehousing and analysis; and more.
Is the Engineering Lead, ML Infrastructure + Data Engineering position at Grid remote?
The Engineering Lead, ML Infrastructure + Data Engineering position at Grid is based in San Francisco, United States and Seattle, United States and is on-site. Contact the company through Clera for specific work arrangement details.
How do I apply for the Engineering Lead, ML Infrastructure + Data Engineering position at Grid?
You can apply for the Engineering Lead, ML Infrastructure + Data Engineering position at Grid directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.