Data Engineer
Build the data pipelines that support model training and evaluation at OpenAI.
1806 roles across 160 companies — filter by region or category.
Showing 50 of 1,806 matching positions (201–250)
Build the data pipelines that support model training and evaluation at OpenAI.
Build the search and retrieval infrastructure behind Perplexity's AI-powered answer engine.
Train and evaluate ranking models that power Perplexity's answer quality.
Build agentic workflows and tool-calling systems on top of Cursor (Anysphere)'s developer platform, and own their accuracy in production.
Run experiments and build models that improve product decisions at Perplexity.
Build the search interfaces and interaction patterns that define Perplexity's user experience.
Build the data pipelines and infrastructure that power analytics on Databricks' unified data platform.
Build and operate the feature store that serves ML models across Databricks' platform.
Own the transformation layer and semantic definitions behind reporting on Cursor (Anysphere)'s developer platform.
Own the Kubernetes infrastructure and deployment tooling behind Databricks' data platform.
Guide enterprise customers through architecture decisions for ML workloads on Databricks.
Model warehouse data into tested datasets that power product and business analytics at Databricks.
Review designs and harden services across Databricks' unified data and AI platform.
Build the ingestion, storage and query layers that every team uses to reason about Cursor (Anysphere)'s developer platform.
Build the reinforcement learning from human feedback pipelines that improve model quality at Scale AI.
Build the data pipelines that power Scale AI's human annotation and evaluation platform.
Design and run large-scale training experiments to advance Scale AI's model evaluation capabilities.
Define the roadmap for Scale AI's enterprise data products and customer integrations.
Train and evaluate large language and multimodal models for Hugging Face's model hub.
Own the AI surfaces inside Arogga's healthcare platform, deciding what to automate, what to assist and what to leave alone.
Design and run model evaluation pipelines across Hugging Face's open-source ecosystem.
Build and scale the model repository and API infrastructure at Hugging Face.
Push the frontier of open language model research at Hugging Face.
Run large-scale training experiments to advance Mistral's frontier model capabilities.
Own developer tooling, CI throughput and local environments for the teams building Arogga's healthcare platform.
Optimize inference throughput and latency for Mistral's production model deployments.
Build the APIs and infrastructure that serve Mistral's models to enterprise customers.
Design and run model evaluation suites that measure Mistral's model capabilities and safety.
Design and operate the training and inference infrastructure that powers Mistral's models.
Sit with customers, build the integrations they need on Ashby's product suite, and feed the rough edges back to product.
Research alignment, evaluation, and safety techniques for Mistral's frontier model releases.
Build retrieval-augmented generation systems that power Cohere's enterprise AI platform.
Build the APIs and infrastructure that serve Cohere's language models to enterprise customers.
Advance the state of the art in natural language processing for Cohere's model development.
Turn model capabilities into dependable product surfaces across Ashby's product suite, balancing latency, cost and quality.
Build the data pipelines that prepare high-quality training data for Cohere's language models.
Guide enterprise customers through deploying and customizing Cohere's language models.
Build and fine-tune legal AI models that power Harvey's enterprise legal assistant.
Build the APIs and infrastructure that serve Harvey's AI legal tools to law firms.
Own infrastructure-as-code, networking and capacity planning for Atlassian's product suite.
Define the roadmap for Harvey's enterprise legal AI product and customer integrations.
Partner with law firms to deploy and customize Harvey's AI legal assistant.
Build the search and ranking models that power Glean's enterprise knowledge assistant.
Build and maintain the data connectors that index enterprise knowledge sources for Glean.
Investigate intrusions and turn each one into durable detection coverage for Atlassian's product suite.
Build the analytics pipelines that measure Glean's search quality and product performance.
Partner with enterprise customers to deploy and customize Glean's knowledge assistant.
Train and evaluate video generation models for Runway's creative AI platform.
Build the media processing and storage infrastructure behind Runway's AI creative tools.
Push the frontier of generative video and image AI research at Runway.
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