Role Locations
- Remote
- San Francisco, CA, United States
Employees
Address
Tech Stack
- Go
- Python
- Docker
- Tensorflow
- PyTorch
- Keras
- Kubernetes
- PostgreSQL
- AWS
- Azure Cloud
- Google Cloud Platform
- React
- TypeScript
Role Description
Determined AI is dramatically simplifying the process of building deep learning models. Our open-source platform supports state-of-the-art hyperparameter tuning, seamless distributed training, and automatic checkpointing and resource scheduling, allowing scientists to focus on their research instead of infrastructure and boilerplate.
As a Full-Stack Software Engineer, you will join the team responsible for designing and implementing our products' web interfaces, and more broadly, will play a key role in defining how our customers interact with our products. You will build software to help machine learning (ML) engineers launch new ML workloads, monitor cluster utilization via a dashboard interface, and plot metrics to understand the statistical behavior of their experiments. You will help design and implement a collaborative development environment for machine learning teams that spans the ML lifecycle from data management and model development through deployment and monitoring.
About Determined AI
We build a high-performance ML development environment that enables ML engineers to train better models more quickly, to seamlessly utilize and manage large GPU clusters, and to collaborate more easily with their teammates. Determined allows ML engineers to focus on doing ML at scale, rather than managing infrastructure or writing boilerplate code.
We work at the intersection of large-scale distributed systems and cutting-edge machine learning. Our customers are highly skilled ML engineers and domain experts working on exciting problems in biotech, hardware design, autonomous vehicles, and more. We interact with them to learn more about their data sets, modeling problems, and infrastructure, to help them with our product, and to improve our product offering.
After 4 years as a startup company, we were recently acquired by Hewlett Packard Enterprise (HPE). At HPE, we will remain a distinct organization — we'll be building the same product targeting the same users. Plus we'll have access to HPE's customers, hardware products, and resources to take our mission to the next level.
Company Culture
We believe the best ideas can come from anyone and anywhere, and we have to be humble enough to listen for them. We are customer-focused, but don't think the customer is always right. We are excited about the latest in ML and distributed systems research but try to implement the minimum valuable product. We believe in open communication and transparency in our process and priorities. We believe in the healing power of karaoke and hot sauce.
Address
Tech Stack
- Go
- Python
- Docker
- Tensorflow
- PyTorch
- Keras
- Kubernetes
- PostgreSQL
- AWS
- Azure Cloud
- Google Cloud Platform
- React
- TypeScript
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