MLOps Engineer, GPU Platform
Own model deployment tooling so research work reaches Databricks's data platform without bespoke glue each time.
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Clear filtersOwn model deployment tooling so research work reaches Databricks's data platform without bespoke glue each time.
Run experiments that push the model capabilities behind Databricks's data platform, and publish or ship what works.
Run the large multi-team efforts behind Databricks's data platform from kickoff through launch.
Build agentic workflows and tool-calling systems on top of Databricks's data platform, and own their accuracy in production.
Review designs, harden services and fix classes of vulnerability across Datadog's developer platform.
Probe model behaviour for failure modes and build the evaluations that gate releases across Datadog's developer platform.
Build the internal platform that lets product teams ship to Datadog's developer platform safely and often.
Train, evaluate and serve models that power Datadog's developer platform at production scale.
Make the build, test and deploy loop fast for everyone working on dbt Labs's data platform.
Optimise inference throughput and cost for the models running behind dbt Labs's data platform.
Prototype and ship interface work for dbt Labs's data platform, living between design and front-end code.
Own the AI surfaces inside Deel's employment platform, deciding what to automate, what to assist and what to leave alone.
Drive cross-team programmes across Deel's employment platform, keeping dependencies, risk and timelines visible.
Build detections and response automation covering the infrastructure behind Deel's employment platform.
Build agentic workflows and tool-calling systems on top of Deel's employment platform, and own their accuracy in production.
Build agentic workflows and tool-calling systems on top of DigitalOcean's product suite, and own their accuracy in production.
Own the design system and the polish layer across DigitalOcean's product suite.
Build the ingestion, storage and query layers that every team uses to reason about DigitalOcean's product suite.
Own developer tooling, CI throughput and local environments for the teams building Drata's security platform.
Own the lakehouse and streaming infrastructure underneath Drata's security platform, with an eye on cost and freshness.
Sit with customers, build the integrations they need on Drata's security platform, and feed the rough edges back to product.
Own Kubernetes, deployment tooling and paved-road abstractions underneath DuckDuckGo's open-source projects.
Own infrastructure-as-code, networking and capacity planning for DuckDuckGo's open-source projects.
Run experiments that push the model capabilities behind Elastic's developer platform, and publish or ship what works.
Define evaluation criteria, pricing and rollout strategy for AI features across Elastic's developer platform.
Train, evaluate and serve models that power Elastic's developer platform at production scale.
Sit with customers, build the integrations they need on Elastic's developer platform, and feed the rough edges back to product.
Run experiments that push the model capabilities behind Fivetran's data platform, and publish or ship what works.
Probe model behaviour for failure modes and build the evaluations that gate releases across Fivetran's data platform.
Turn model capabilities into dependable product surfaces across Fivetran's data platform, balancing latency, cost and quality.
Build the internal platform that lets product teams ship to Fly.io's developer platform safely and often.
Train, evaluate and serve models that power Fly.io's developer platform at production scale.
Own the lakehouse and streaming infrastructure underneath Fly.io's developer platform, with an eye on cost and freshness.
Own the modelling loop behind GitHub's developer platform — features, training pipelines, offline evaluation and online experiments.
Design red-teaming and evaluation methodology for the models behind GitHub's developer platform, and turn results into mitigations.
Sit with customers, build the integrations they need on GitHub's developer platform, and feed the rough edges back to product.
Own Kubernetes, deployment tooling and paved-road abstractions underneath GitHub's developer platform.
Own the design system and the polish layer across GitLab's developer platform.
Probe model behaviour for failure modes and build the evaluations that gate releases across GitLab's developer platform.
Build detections and response automation covering the infrastructure behind GitLab's developer platform.
Own infrastructure-as-code, networking and capacity planning for GitLab's developer platform.
Investigate intrusions and turn each one into durable detection coverage for Grafana Labs's developer platform.
Build the ingestion, storage and query layers that every team uses to reason about Grafana Labs's developer platform.
Deliver working implementations of Grafana Labs's developer platform inside customer environments.
Prototype and ship interface work for Grammarly's product suite, living between design and front-end code.
Own the AI surfaces inside Grammarly's product suite, deciding what to automate, what to assist and what to leave alone.
Sit with customers, build the integrations they need on Grammarly's product suite, and feed the rough edges back to product.
Run the large multi-team efforts behind Grammarly's product suite from kickoff through launch.
Build the internal platform that lets product teams ship to Gymdesk's product suite safely and often.
Build agentic workflows and tool-calling systems on top of Gymdesk's product suite, and own their accuracy in production.
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