DataRobot delivers the industry-leading AI applications and platform that maximize impact and minimize risk for your business. Backed by NEA, Norwest and Techstars.
About the role
You will own this layer as a product. You will spend your time in design reviews, in the API contract, and in production data. Scaling. Autoscaling signals, cold start and scale-to-zero economics, headroom policy, and the cost-versus-latency trade-off as a customer-facing control. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Wow Our Customers
- Set High Standards
- Be Better Than Yesterday
- Be Rigorous
- Assume Positive Intent
- Have the Tough Conversations
More about this role
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future.
We run agents and models in production for enterprises that cannot move their workloads to a public cloud: regulated industries, sovereign deployments, air-gapped and customer-managed clusters.
The control plane is the layer that makes that possible. It deploys the agents, it deploys the models those agents call, and it decides how every workload is placed, scaled, isolated, routed to, and torn down across Kubernetes clusters and heterogeneous accelerators, on our cloud and on the customer's.
Agents and models are one deployment problem here. An agent is a long-lived workload with session state and unpredictable fan-out, calling models with wildly uneven cost profiles, and both land on the same finite pool of accelerators. Allocating that pool correctly is...
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