Member of Technical Staff, AI Inference
Squeeze latency and cost out of the serving stack behind a consumer answer engine handling very high query volume.
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Clear filtersSqueeze latency and cost out of the serving stack behind a consumer answer engine handling very high query volume.
Build multi-step agents that browse, reason over sources and complete tasks on behalf of users.
Ship experiments across onboarding, sharing and subscription flows to move activation and retention.
Build the query and storage layer of the lakehouse platform, working across Spark, Delta Lake and cloud object storage.
Join a platform team building distributed data systems, with structured mentoring through your first year.
Scale the model and dataset hub that serves petabytes of artefacts to millions of developers.
Improve the text-to-speech and voice conversion models behind dubbing, narration and conversational agents.
Build the streaming and batch audio APIs that power real-time voice products at scale.
Build the AI agent that scaffolds, edits and deploys full applications from a natural-language brief.
Build code completion and chat experiences shipped to millions of developers across editors and the web.
Build the payroll calculation engine that has to be exactly right across dozens of tax jurisdictions.
Build the scheduler and runner infrastructure that executes millions of CI jobs a day.
Work on the Python and MongoDB services behind calling, email sync and reporting for sales teams.
Work on the highest-traffic checkout path in commerce, where every millisecond shows up in conversion.
Make builds and deployments faster for millions of frontend projects across the platform.
Build ingestion and query systems handling trillions of log events with predictable cost.
Maintain and optimise the Ubuntu kernel across cloud, desktop and embedded hardware.
Work on the log aggregation system in Go, focused on query performance at multi-tenant scale.
Work on the browser engine in C++ and Rust, balancing performance, privacy and web compatibility.
Build the mesh VPN control plane and client in Go, across every major operating system.
Own a product surface end to end — design, build, ship and support it — in a small autonomous team.
Design and build features in a small team where engineers own product decisions end to end.
Ship LLM-powered features into Airbnb's travel platform, from prompt and retrieval design through evaluation and rollout.
Own developer tooling, CI throughput and local environments for the teams building Airbnb's travel platform.
Sit with customers, build the integrations they need on Airbnb's travel platform, and feed the rough edges back to product.
Make the build, test and deploy loop fast for everyone working on Amplitude's analytics platform.
Sit with customers, build the integrations they need on Ashby's product suite, and feed the rough edges back to product.
Turn model capabilities into dependable product surfaces across Ashby's product suite, balancing latency, cost and quality.
Ship LLM-powered features into Automattic's open-source projects, from prompt and retrieval design through evaluation and rollout.
Build agentic workflows and tool-calling systems on top of BrowserStack's developer platform, and own their accuracy in production.
Deliver working implementations of Canonical's open-source projects inside customer environments.
Turn model capabilities into dependable product surfaces across Canva's design platform, balancing latency, cost and quality.
Ship LLM-powered features into Chainguard's security platform, from prompt and retrieval design through evaluation and rollout.
Turn model capabilities into dependable product surfaces across CircleCI's developer platform, balancing latency, cost and quality.
Deliver working implementations of Clerk's developer platform inside customer environments.
Deliver working implementations of ClickHouse's data platform inside customer environments.
Deliver working implementations of Cloudflare's developer platform inside customer environments.
Ship LLM-powered features into CrowdStrike's security platform, from prompt and retrieval design through evaluation and rollout.
Build agentic workflows and tool-calling systems on top of Databricks's data platform, and own their accuracy in production.
Make the build, test and deploy loop fast for everyone working on dbt Labs's data 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.
Sit with customers, build the integrations they need on Doist's product suite, and feed the rough edges back to product.
Own developer tooling, CI throughput and local environments for the teams building Drata's security platform.
Sit with customers, build the integrations they need on Drata's security platform, and feed the rough edges back to product.
Sit with customers, build the integrations they need on Elastic's developer platform, and feed the rough edges back to product.
Turn model capabilities into dependable product surfaces across ElevenLabs's AI products, balancing latency, cost and quality.
Turn model capabilities into dependable product surfaces across Fivetran's data platform, balancing latency, cost and quality.
Sit with customers, build the integrations they need on GitHub's developer platform, and feed the rough edges back to product.
Turn model capabilities into dependable product surfaces across GoTo Group's delivery network, balancing latency, cost and quality.
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