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Build high-performance data visualization tools and reusable component libraries for complex telemetry data using React, TypeScript, and modern web technologies.
About Thinking Machines The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and…
Designs and maintains data infrastructure for a climate-tech company, focusing on real-time streaming, HPC job orchestration, and AI service integration using Python, FastAPI, and async systems.
Build and maintain scalable data pipelines and cloud infrastructure to process animal health nutrition data for analytics and reporting using Python, Spark, SQL, and cloud platforms.
Design and build Snowflake-based data pipelines and warehouses for energy-sector clients, migrating on-premise workflows to cloud and optimizing SQL models for performance.
Design and build Snowflake-based data pipelines and warehouses for energy-sector clients, using SQL, Python/Java/Scala, and cloud tools to deliver scalable analytics platforms.
Senior Software Engineer owning performance-critical paths in a large-scale data-processing platform, profiling and optimizing with Python, C/C++/Rust, PostgreSQL, and GPU/CUDA acceleration.
Senior backend engineer designs and builds scalable AI-driven data pipelines to process petabyte-scale telemetry, optimize costs, and integrate with observability platforms using Go/Rust/Java, Kubernetes, and ML frameworks.
Build and maintain AWS-based data pipelines and real-time streaming systems using Snowflake/Databricks to power analytics and AI features for an automotive SaaS platform.
Lead cross-functional programs to build and maintain XPENG’s autonomous-driving training data lake, coordinating data collection, processing, and delivery for AI model development.
Build and maintain scalable data pipelines, ETL workflows, and serverless services on Google Cloud Platform using Python, BigQuery, Pub/Sub, and Cloud Run.
Builds high-performance C++ microservices for low-latency data processing and storage that support quantitative research and trading systems.
Build and maintain data pipelines and quantitative models to deliver AI-powered analytics for OMERS' investment strategies, focusing on derivatives, fixed income, and equities.
Designs and governs the firm’s data architecture, building scalable data models and pipelines to support analytics, AI, and reporting across a national law-firm environment.
Modernize legacy data systems by rewriting SAS logic into high-performance Python, building scalable cloud-native pipelines, and optimizing PostgreSQL-backed data workflows.
Build and optimize big-data pipelines processing terabytes of healthcare records on Databricks and Azure, using Spark, Python/Scala, and ETL workflows to support clinical research and drug safety.
Build and maintain scalable data pipelines and integrations to feed AI and analytics across BEUMER’s intralogistics systems, using SQL, ETL/ELT, APIs, and modern data platforms.
Builds distributed systems in Rust and Go to store and process high-frequency time-series data for mission-critical platforms, using Parquet, Arrow, and cloud-native tooling.
Build and scale backend services for a fintech platform that connects global investors with private debt opportunities, processing and analyzing loan and financial data using Go, cloud platforms, and MongoDB.
Build and refine LLM-powered agents that analyze cloud costs, detect anomalies, and recommend savings using Python, FastAPI, and PostgreSQL.
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