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The Ground Software Engineer will build and maintain the software used to operate satellites, including telemetry ingestion, command workflows, and operator dashboards. The role involves integrating ground station hardware and cloud infrastructure using Python, C++, AWS, and Kubernetes.
Architect and scale Snowflake’s external observability platform, building high-throughput distributed systems to ingest, process, and serve petabytes of telemetry data with strict SLA guarantees.
AI Scientist leading the design and deployment of advanced optimization and machine learning systems for transportation and logistics networks, working on routing, scheduling, demand forecasting, and fleet optimization using Python, PyTorch/TensorFlow, and optimization tools like Gurobi/CPLEX, while collaborating with engineering teams to productionize AI solutions.
Develop geospatial models, statistical analyses, and quantitative products using Python, SQL, and spatial data to support Terradot’s Enhanced Rock Weathering operations.
DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly…
Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As an AI/ML Research Intern , you will be an integral member of a team of experienced technologists, quantitative…
Design and maintain scalable data pipelines and infrastructure to process complex chemical data (chromatograms) for ML model training and deployment in a healthcare/climatetech context.
About Jito Jito builds the market layer of Solana: the execution, capital, and incentive infrastructure behind the network's onchain economy. That includes the validator client running the majority of Solana stake,…
Leads supplier-side yield, pricing, and monetization analytics for an industrial marketplace platform, optimizing revenue through data-driven strategies like yield scoring, pricing models, and retention analytics. Builds AI/ML models, dashboards, and A/B tests to inform business decisions for stakeholders.
Build and deploy ML models for industrial use cases like fraud detection and predictive maintenance using JavaScript, Java, Python, and cloud platforms.
Design and scale a secure, compliant data platform for a deep-tech manufacturer, using Microsoft Fabric and Azure to unify R&D, manufacturing, and business analytics.
Build and validate AI-powered analytics models (causal inference, forecasting, survival analysis) that proactively surface insights to Mixpanel’s customers, translating statistical rigor into actionable recommendations.
Designs trusted data models and pipelines for healthcare analytics, enabling predictive modeling and AI-driven insights using SQL, Python, and Azure tools.
Designs and deploys evaluation frameworks to measure, improve, and monitor LLM systems in production, focusing on response quality, robustness, and operational reliability. Specializes in constrained/local models, adversarial testing, and predictive analytics for IT operations.
Builds secure, high-performance backend services and APIs that deliver AI-driven insights to clients in critical industries like healthcare, utilities, and infrastructure.
BURNT Member of Technical Staff AI/ML Engineer (MLOps-Focused) Location On-site, San Francisco · Experience 5–7 years · Compensation $150,000–$275,000 + equity About Burnt Burnt isn't building software on top of…
Build and productionize predictive models to forecast shrink and damages for a large retail chain, using Python, SQL, and PySpark to automate analytics workflows and deliver insights to business stakeholders.
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