Machine Learning Engineer, Personalisation
Own the modelling loop behind Cohere's AI products — features, training pipelines, offline evaluation and online experiments.
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Own the modelling loop behind Cohere's AI products — features, training pipelines, offline evaluation and online experiments.
Design and run large-scale training experiments, then turn the findings into production model releases.
Design and run the multi-region cloud footprint behind Cohere's AI products, with cost and resilience both in view.
Drive cross-team programmes across Cohere's AI products, keeping dependencies, risk and timelines visible.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Coinbase's financial platform.
Own infrastructure-as-code, networking and capacity planning for Coinbase's financial platform.
Own the lakehouse and streaming infrastructure underneath Coinbase's financial platform, with an eye on cost and freshness.
Define evaluation criteria, pricing and rollout strategy for AI features across Coinbase's financial platform.
Build the pipelines, feature stores and monitoring that keep models behind Confluent's data platform reproducible and observable.
Review designs, harden services and fix classes of vulnerability across Confluent's data platform.
Design and run large-scale training experiments, then turn the findings into production model releases.
Design and run the multi-region cloud footprint behind Confluent's data platform, with cost and resilience both in view.
Own infrastructure-as-code, networking and capacity planning for CrowdStrike's security platform.
Ship LLM-powered features into CrowdStrike's security platform, from prompt and retrieval design through evaluation and rollout.
Prototype and ship interface work for CrowdStrike's security platform, living between design and front-end code.
Own the lakehouse and streaming infrastructure underneath CrowdStrike's security platform, with an eye on cost and freshness.
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.
Run the large multi-team efforts behind Doist's product suite from kickoff through launch.
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.
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.
Own the design system and the polish layer across ElevenLabs's AI products.
Optimise inference throughput and cost for the models running behind ElevenLabs's AI products.
Turn model capabilities into dependable product surfaces across ElevenLabs's AI products, balancing latency, cost and quality.
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.
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