Senior Machine Learning Engineer
Optimise inference throughput and cost for the models running behind Robinhood's financial platform.
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Clear filtersOptimise inference throughput and cost for the models running behind Robinhood's financial platform.
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.
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.
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 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.
Design experiments and causal analyses that decide what ships next across Stripe's financial 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.
Build dashboards and deep dives that show how GitLab's developer platform is actually performing.
Answer the recurring commercial and operational questions about Oyster's employment platform with clear, reproducible analysis.
Answer the recurring commercial and operational questions about Plaid's financial platform with clear, reproducible analysis.
Answer the recurring commercial and operational questions about Remote's employment platform with clear, reproducible analysis.
Build dashboards and deep dives that show how Toptal's marketplace is actually performing.
Build the privacy-respecting telemetry and analytics pipelines that inform Firefox and Mozilla product decisions.
Build data pipelines processing billions of communication events daily for analytics and billing systems.
Build data pipelines processing events from WordPress sites representing a large share of the web.
Develop anomaly detection and natural language processing models integrated into the Elastic Stack.
Model payment fraud patterns and develop machine learning systems that protect merchants from financial losses.
Analyse financial data quality metrics and connection success rates to identify improvement opportunities.
Analyse learner engagement and completion data to identify where students struggle and how content can improve.
Build pipelines that process billions of security events daily for threat intelligence and detection models.
Model marketplace dynamics including pricing, demand forecasting and host acquisition to grow supply.
Analyse engagement and retention metrics across a self-serve subscription product to guide roadmap decisions.
Build fraud detection and risk models protecting a large cryptocurrency exchange from bad actors.
Build the billing and usage metering pipelines tracking resource consumption across the cloud platform.
Develop machine learning models that categorise and verify transaction data for fintech and banking customers.
Build data pipelines that power real-time fraud and risk scoring models for banks and fintech customers.
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