Machine Learning Engineer, Inference
Train, evaluate and serve models that power Modal's developer platform at production scale.
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Showing 50 of 914 matching positions (201–250)
Train, evaluate and serve models that power Modal's developer platform at production scale.
Own the transformation layer and semantic definitions behind reporting on Modal's developer platform.
Prototype and ship interface work for MongoDB's developer platform, living between design and front-end code.
Own infrastructure-as-code, networking and capacity planning for MongoDB's developer platform.
Own the modelling loop behind MongoDB's developer platform — features, training pipelines, offline evaluation and online experiments.
Build the pipelines, feature stores and monitoring that keep models behind MongoDB's developer platform reproducible and observable.
Build detections and response automation covering the infrastructure behind Monzo's financial platform.
Own Kubernetes, deployment tooling and paved-road abstractions underneath Monzo's financial platform.
Define evaluation criteria, pricing and rollout strategy for AI features across Monzo's financial platform.
Own the design system and the polish layer across Mozilla's open-source projects.
Ship LLM-powered features into Mozilla's open-source projects, from prompt and retrieval design through evaluation and rollout.
Define evaluation criteria, pricing and rollout strategy for AI features across Mozilla's open-source projects.
Review designs, harden services and fix classes of vulnerability across Mozilla's open-source projects.
Own the AI surfaces inside Neon's developer platform, deciding what to automate, what to assist and what to leave alone.
Make the build, test and deploy loop fast for everyone working on Neon's developer platform.
Own the lakehouse and streaming infrastructure underneath 1Password's security platform, with an eye on cost and freshness.
Run the training and serving infrastructure behind 1Password's security platform, including GPU scheduling, artefacts and rollouts.
Train, evaluate and serve models that power 1Password's security platform at production scale.
Make the build, test and deploy loop fast for everyone working on Oscilar's financial platform.
Turn model capabilities into dependable product surfaces across Oscilar's financial platform, balancing latency, cost and quality.
Own the design system and the polish layer across Oyster's employment platform.
Design and run the multi-region cloud footprint behind Oyster's employment platform, with cost and resilience both in view.
Review designs, harden services and fix classes of vulnerability across Oyster's employment platform.
Build the internal platform that lets product teams ship to Pinecone's developer platform safely and often.
Run the training and serving infrastructure behind Pinecone's developer platform, including GPU scheduling, artefacts and rollouts.
Run experiments that push the model capabilities behind Pinecone's developer platform, and publish or ship what works.
Build the internal platform that lets product teams ship to Plaid's financial platform safely and often.
Drive cross-team programmes across Plaid's financial platform, keeping dependencies, risk and timelines visible.
Own model deployment tooling so research work reaches Plaid's financial platform without bespoke glue each time.
Drive cross-team programmes across PlanetScale's developer platform, keeping dependencies, risk and timelines visible.
Build the internal platform that lets product teams ship to PlanetScale's developer platform safely and often.
Run the training and serving infrastructure behind PlanetScale's developer platform, including GPU scheduling, artefacts and rollouts.
Design red-teaming and evaluation methodology for the models behind PostHog's analytics platform, and turn results into mitigations.
Sit with customers, build the integrations they need on PostHog's analytics platform, and feed the rough edges back to product.
Own the lakehouse and streaming infrastructure underneath PostHog's analytics platform, with an eye on cost and freshness.
Build the pipelines, feature stores and monitoring that keep models behind Railway's developer platform reproducible and observable.
Run the large multi-team efforts behind Railway's developer platform from kickoff through launch.
Review designs, harden services and fix classes of vulnerability across Remote's employment platform.
Own the modelling loop behind Remote's employment platform — features, training pipelines, offline evaluation and online experiments.
Own infrastructure-as-code, networking and capacity planning for Remote's employment platform.
Own the design system and the polish layer across Remote's employment platform.
Build detections and response automation covering the infrastructure behind Render's developer platform.
Define evaluation criteria, pricing and rollout strategy for AI features across Render's developer platform.
Own the AI surfaces inside Resend's developer platform, deciding what to automate, what to assist and what to leave alone.
Own developer tooling, CI throughput and local environments for the teams building Resend's developer platform.
Own infrastructure-as-code, networking and capacity planning for Rippling's employment platform.
Ship LLM-powered features into Rippling's employment platform, from prompt and retrieval design through evaluation and rollout.
Build the ingestion, storage and query layers that every team uses to reason about Rippling's employment platform.
Deliver working implementations of Rippling's employment platform inside customer environments.
Build the ingestion, storage and query layers that every team uses to reason about Robinhood's financial platform.
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