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Browse vetted remote Scikit-learn positions at AI companies — ML engineering, classical model development, and feature engineering roles.
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We're building an AI-native underwriting platform for specialty insurance lines. Our clients have already told us that premium leakage — the gap betwe...
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Our climate tech team works async across 6 continents, and we believe the best energy modelers aren't necessarily in the same city as our servers. If...
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Vibration-induced failures cost our manufacturing clients an average of $280k per unplanned shutdown. Our existing predictive maintenance models catch...
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We believe AI should make compliance simpler — not just faster. Right now, third-party risk assessment is the most manual part of our clients' complia...
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The attribution model you build will directly influence how our clients allocate $40M+ in annual marketing spend. Last-touch and first-touch are dead...
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Posted 3 months ago
United States — New York (UTC-4)
We're scaling fast after landing three enterprise contracts with major consumer packaged goods brands. They want to understand not just who talks abou...
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We run the AI workflow layer for 300+ operations teams, processing 40M+ tasks per month. SLA adherence is the metric our clients care about most — and...
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Posted 3 months ago
United States — Los Angeles (UTC-7)
We believe AI accountability starts at explanation — not at policy. Most organizations deploying AI models can generate SHAP values or attention maps....
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We serve 800+ enterprise procurement teams that rely on our platform to review, approve, and track supplier agreements. Most of their risk currently l...
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We closed our Series B three months ago with one clear mandate: ship better product decisions faster. Our PM team reviews hundreds of user signals per...
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Role guide
Scikit-learn is the workhorse of applied machine learning. Remote Scikit-learn jobs involve building production ML models for classification, regression, and clustering tasks — often as part of a larger data platform or AI feature pipeline. Many AI companies use Scikit-learn alongside PyTorch or XGBoost in production systems.
Are there remote jobs specifically for Scikit-learn engineers?
Scikit-learn is rarely the only requirement — it typically appears alongside Python, Pandas, and sometimes PyTorch. Roles involving applied ML, prediction systems, or feature engineering are the best fit.
Is Scikit-learn relevant if a company uses PyTorch or TensorFlow?
Yes. Scikit-learn handles preprocessing, classical baselines, and evaluation utilities that complement deep learning frameworks. Most ML engineers use Scikit-learn daily regardless of their primary modelling framework.
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