Top Machine Learning Jobs in Seattle, WA
Building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, enhancing ML Engineering platforms, implementing ML Ops, writing production-ready code, collaborating with teams, and staying updated on the latest technologies.
Seeking a Machine Learning Architect to elevate the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing robust AI architectures, selecting appropriate AI technologies, collaborating with cross-functional teams, and optimizing ML systems for performance and scalability.
Seeking a Principal Data Scientist with strong engineering skills to lead ML and AI initiatives across multiple teams at a financial services company. Responsibilities include building ML / AI products, setting technical standards, providing mentorship, and collaborating with various departments. Requires strong experience in machine learning, AI, data products, and software engineering. Must have expertise in technologies like Airflow, DBT, Git, Docker, Kubernetes, BI tools, Spark, AWS, Snowflake, Scikit-learn, TensorFlow, PyTorch.
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As a Senior Machine Learning Engineer specializing in Transformational AI at ServiceNow, responsibilities include AI exploration, POC data set creation, data pipeline development, rapid prototyping, automated feature engineering, collaboration, innovation, and monitoring AI trends.
Build and deploy ML models for identity resolution and ads attribution. Collaborate with cross-functional teams to align on ML strategies. Stay updated with the latest ML technology and solve complex problems. Ensure code quality and build scalable products.
Looking for a Threat Analyst with experience in malware analysis, reverse engineering, and threat management. Responsible for analyzing malware and detections, addressing internal questions, and improving detection capability. Must have knowledge of programming languages, binary files, and threat/risk assessment.
As a Senior Machine Learning Engineer at Atlassian, you will work on developing and implementing cutting-edge machine learning algorithms, collaborating with various teams, and ensuring AI's transformative potential is realized across products. Responsibilities include designing system architectures, conducting model evaluations, and guiding junior ML engineers.
Senior Machine Learning Software Engineer at Dropbox, responsible for designing, building, evaluating, and deploying large-scale ML systems. Collaborate with cross-functional teams to personalize user experiences and drive impactful outcomes. Requires strong industry experience and software engineering skills in Python, Go, and C/C++.
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Lead a team of Machine Learning Engineers and Data Scientists to build machine learning solutions for fraud prevention in the financial services industry. Partner with ML ops and ML platform teams to improve research efficiency and model quality. Define frameworks for evaluating model performance and accelerate the model development processes. Evaluate and introduce new algorithms and model architectures to improve performance.
Senior/Staff Machine Learning Engineer at Rokt, responsible for designing, building, and productionizing machine learning models to solve business challenges. Collaborate with product managers and engineers, maintain code quality, research and prototype new models, and mentor team members.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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