Machine Learning Engineer, Inference
Train, evaluate and serve models that power Modal's developer platform at production scale.
914 roles across 160 companies — filter by region or category.
Showing 50 of 126 matching positions (51–100)
Clear filtersTrain, 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.
Own the modelling loop behind MongoDB's developer platform — features, training pipelines, offline evaluation and online experiments.
Own the lakehouse and streaming infrastructure underneath 1Password's security platform, with an eye on cost and freshness.
Train, evaluate and serve models that power 1Password's security platform at production scale.
Run experiments that push the model capabilities behind Pinecone's developer platform, and publish or ship what works.
Design red-teaming and evaluation methodology for the models behind PostHog's analytics platform, and turn results into mitigations.
Own the lakehouse and streaming infrastructure underneath PostHog's analytics platform, with an eye on cost and freshness.
Own the modelling loop behind Remote's employment platform — features, training pipelines, offline evaluation and online experiments.
Build the ingestion, storage and query layers that every team uses to reason about Rippling's employment platform.
Build the ingestion, storage and query layers that every team uses to reason about Robinhood's financial platform.
Optimise inference throughput and cost for the models running behind Robinhood's financial platform.
Own the lakehouse and streaming infrastructure underneath Sanity's product suite, with an eye on cost and freshness.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Sanity's product suite.
Design red-teaming and evaluation methodology for the models behind Snowflake's data platform, and turn results into mitigations.
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.
Train, evaluate and serve models that power Stripe's financial platform at production scale.
Run experiments that push the model capabilities behind Supabase's developer platform, and publish or ship what works.
Design red-teaming and evaluation methodology for the models behind Temporal's developer platform, and turn results into mitigations.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Together AI's AI products.
Own the modelling loop behind Toptal's marketplace — features, training pipelines, offline evaluation and online experiments.
Own the transformation layer and semantic definitions behind reporting on Twilio's product suite.
Build the ingestion, storage and query layers that every team uses to reason about Vanta's security platform.
Own the transformation layer and semantic definitions behind reporting on Vercel's developer platform.
Own the transformation layer and semantic definitions behind reporting on Weights & Biases's developer platform.
Own the lakehouse and streaming infrastructure underneath Wikimedia Foundation's programmes and platforms, with an eye on cost and freshness.
Own the transformation layer and semantic definitions behind reporting on Zoom's product suite.
Optimise inference throughput and cost for the models running behind Zoom's product suite.
Design experiments and causal analyses that decide what ships next across Abridge's healthcare platform.
Own funnel, retention and feature adoption analysis for Abridge's healthcare platform.
Own funnel, retention and feature adoption analysis for Amplitude's analytics platform.
Own funnel, retention and feature adoption analysis for Atlassian's product suite.
Own funnel, retention and feature adoption analysis for BrowserStack's developer platform.
Design schemas and pipelines that keep analytics and machine learning on Buffer's product suite accurate and timely.
Build and operate the batch and streaming pipelines that move data across Coinbase's financial platform.
Build and operate the batch and streaming pipelines that move data across Drata's security platform.
Instrument, measure and interpret how people actually use Drata's security platform.
Design schemas and pipelines that keep analytics and machine learning on Fivetran's data platform accurate and timely.
Design experiments and causal analyses that decide what ships next across Gymdesk's product suite.
Design schemas and pipelines that keep analytics and machine learning on Hotjar's analytics platform accurate and timely.
Design schemas and pipelines that keep analytics and machine learning on Resend's developer platform accurate and timely.
Build and operate the batch and streaming pipelines that move data across Robinhood's financial platform.
Model user and system behaviour on Robinhood's financial platform and turn the findings into decisions the team acts on.
Model user and system behaviour on Rootly's product suite and turn the findings into decisions the team acts on.
Instrument, measure and interpret how people actually use Sanity's product suite.
Design experiments and causal analyses that decide what ships next across Stripe's financial platform.
Own funnel, retention and feature adoption analysis for Supabase's developer platform.
Instrument, measure and interpret how people actually use Turso's developer platform.
Build and operate the batch and streaming pipelines that move data across Twilio's product suite.
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