Founding MLOps Engineer
East Bay, CA, United States,
Los Angeles, CA, United States,
New York, NY, United States,
Remote,
Seattle, WA, United States,
San Francisco, CA, United States,
Silicon Valley, CA, United States
•
$100k - $180k
•
0.2% - 1.0%
Featureform
Role Locations
- East Bay, CA, United States
- Los Angeles, CA, United States
- New York, NY, United States
- Remote
- Seattle, WA, United States
- San Francisco, CA, United States
- Silicon Valley, CA, United States
Compensation
- $100k - $180k
- 0.2% - 1.0%
Employees
< 10 people
Address
632 Cole Street
San Francisco, CA, 94117, US
Tech Stack
- Python
- Go
- Spark
- React
- Docker
- Kubernetes
- TensorFlow
- PyTorch
- C++
Role Description
At Featureform we are building a feature store for machine learning. This role will be critical in designing, building and managing the core product.
About Featureform
Featureform is a feature store for machine learning. Machine learning teams work with thousands of features created by ad-hoc, undocumented, and discordant data pipelines. Featureform untangles the mess. Your data scientists can use Featureform's declarative API to register each feature pipeline, and Featureform will manage versioning, sharing across teams, and governance. Featureform accelerates the ML process by standardizing how features are defined, managed, and shared.
Address
632 Cole Street
San Francisco, CA, 94117, US
Tech Stack
- Python
- Go
- Spark
- React
- Docker
- Kubernetes
- TensorFlow
- PyTorch
- C++
Interested in this role?
Skip straight to final-round interviews by applying through Triplebyte.
Skip straight to final-round interviews by applying through Triplebyte.
