Senior Machine Learning Engineer
Optimise inference throughput and cost for the models running behind Robinhood's financial platform.
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Optimise inference throughput and cost for the models running behind Robinhood's financial platform.
Ship LLM-powered features into Rootly's product suite, from prompt and retrieval design through evaluation and rollout.
Build detections and response automation covering the infrastructure behind Rootly's product suite.
Own the transformation layer and semantic definitions behind reporting on Runway's AI products.
Own the lakehouse and streaming infrastructure underneath Runway's AI products, with an eye on cost and freshness.
Build detections and response automation covering the infrastructure behind Runway's AI products.
Own the lakehouse and streaming infrastructure underneath Sanity's product suite, with an eye on cost and freshness.
Build detections and response automation covering the infrastructure behind Sanity's product suite.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Sanity's product suite.
Own the AI surfaces inside Scale AI's AI products, deciding what to automate, what to assist and what to leave alone.
Design and run the multi-region cloud footprint behind Scale AI's AI products, with cost and resilience both in view.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Scale AI's AI products.
Partner with engineering teams on threat models and secure defaults throughout Scale AI's AI products.
Review designs, harden services and fix classes of vulnerability across Sentry's developer platform.
Make the build, test and deploy loop fast for everyone working on Sentry's developer platform.
Own Kubernetes, deployment tooling and paved-road abstractions underneath Sentry's developer platform.
Review designs, harden services and fix classes of vulnerability across Sheba.xyz's marketplace.
Run the large multi-team efforts behind Sheba.xyz's marketplace from kickoff through launch.
Own the modelling loop behind Sheba.xyz's marketplace — features, training pipelines, offline evaluation and online experiments.
Partner with engineering teams on threat models and secure defaults throughout Shopify's commerce platform.
Investigate intrusions and turn each one into durable detection coverage for Shopify's commerce platform.
Build agentic workflows and tool-calling systems on top of Shopify's commerce platform, and own their accuracy in production.
Own the AI surfaces inside Shopify's commerce platform, deciding what to automate, what to assist and what to leave alone.
Build the ingestion, storage and query layers that every team uses to reason about ShopUp's marketplace.
Ship LLM-powered features into ShopUp's marketplace, from prompt and retrieval design through evaluation and rollout.
Review designs, harden services and fix classes of vulnerability across ShopUp's marketplace.
Own infrastructure-as-code, networking and capacity planning for Sierra's AI products.
Investigate training, alignment and evaluation methods that make the models behind Sierra's AI products more useful.
Ship LLM-powered features into Sierra's AI products, from prompt and retrieval design through evaluation and rollout.
Make the build, test and deploy loop fast for everyone working on Snowflake's data platform.
Ship LLM-powered features into Snowflake's data platform, from prompt and retrieval design through evaluation and rollout.
Design red-teaming and evaluation methodology for the models behind Snowflake's data platform, and turn results into mitigations.
Build the pipelines, feature stores and monitoring that keep models behind Snowflake's data platform reproducible and observable.
Train, evaluate and serve models that power Spade's financial platform at production scale.
Own the transformation layer and semantic definitions behind reporting on Spade's financial platform.
Partner with engineering teams on threat models and secure defaults throughout Stream's developer platform.
Drive cross-team programmes across Stream's developer platform, keeping dependencies, risk and timelines visible.
Train, evaluate and serve models that power Stripe's financial platform at production scale.
Build agentic workflows and tool-calling systems on top of Stripe's financial platform, and own their accuracy in production.
Prototype and ship interface work for Stripe's financial platform, living between design and front-end code.
Own developer tooling, CI throughput and local environments for the teams building Stripe's financial platform.
Run experiments that push the model capabilities behind Supabase's developer platform, and publish or ship what works.
Own Kubernetes, deployment tooling and paved-road abstractions underneath Supabase's developer platform.
Deliver working implementations of Supabase's developer platform inside customer environments.
Optimise inference throughput and cost for the models running behind Swiggy's delivery network.
Build the pipelines, feature stores and monitoring that keep models behind Swiggy's delivery network reproducible and observable.
Run the large multi-team efforts behind Swiggy's delivery network from kickoff through launch.
Build detections and response automation covering the infrastructure behind Swiggy's delivery network.
Deliver working implementations of Synthesia's AI products inside customer environments.
Own the AI surfaces inside Synthesia's AI products, deciding what to automate, what to assist and what to leave alone.
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