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Develops and deploys computer vision models and pipelines to analyze sports video data, using Python, PyTorch/TensorFlow, and cloud services to power analytics for elite athletes and teams.
Build and scale Joulea’s backend platform to integrate ML and building energy models, using Python, FastAPI, AWS, and Kubernetes for a climate-tech startup in Atlanta.
Process Engineer Interested in getting in at the ground floor of a new, disruptive company attacking an important multi-billion-dollar problem? Businesses and consumers continue to demand increasing data services at an…
Senior Software Engineer builds and maintains AI deployment systems in Go and Python, focusing on scalable, cloud-neutral microservices for ML model lifecycle management.
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…
Lead a team building neural rendering and generative models for autonomous-vehicle sensor simulation, translating research into production-grade camera, LiDAR, and radar pipelines.
Build and advise on generative AI solutions for financial-services clients, designing LLM-based systems and scaling ML pipelines in a consultancy setting.
Develops AI-driven predictive models for clinical trial data in computational biology, integrating multi-omic datasets (genomics, transcriptomics, proteomics) to advance precision medicine and drug development at Amgen.
Build predictive and recommendation models (churn, AML, personalization) using Python, Spark, and MLOps in a fintech context.
Senior ML engineer optimizes PyTorch models for real-time, on-vehicle deployment, using quantization and distillation to meet tight latency and memory constraints.
Builds BI dashboards and analyzes marketing performance data using SQL, BigQuery, and Python to drive ad-tech decisions.
Build and fine-tune LLMs/SLMs on GPU clusters, from data prep to deployment, and explain the full training pipeline to stakeholders.
Develops advanced algorithms for partial discharge monitoring and predictive maintenance in energy infrastructure using sensor data, signal processing, and machine learning to detect faults early and improve system reliability.
Build and deploy ML models and MLOps pipelines using Python, TensorFlow/PyTorch, and cloud platforms like Azure Databricks; work with event-driven architectures and real-time data flows.
Build and maintain ML models for Wealth Management, generating predictive analytics and insights to support data-driven decisions and strategy for Morgan Stanley’s India team.
Lead a team of data scientists and ML engineers to build AI/ML products for financial markets using LLMs, generative AI, deep learning, and advanced machine learning.
Owns AI-driven surgical planning software for orthopedic procedures, defining features and priorities for cross-functional teams to improve image-guided workflows and patient outcomes.
Lead a small data-science team to analyze user-behavior data, build ML models (forecasting, clustering, recommendations), and translate insights into product improvements for a social-network app.
Lead a small team to analyze social-network data, extract insights with ML (forecasting, clustering, recommendations), and translate findings into product improvements for a B2C chat platform.
Scala Biodesign is a biotech startup pioneering computational protein design platforms that power the next generation of biologics and industrial enzymes. Built on over a decade of research at the Weizmann Institute of…
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