Top Data & Analytics Jobs in Seattle, WA
Senior AI Engineer responsible for training and tuning models using Deep Learning Machine Learning Models, Large Language Models, data engineering, and evaluation frameworks. Working on optimizing networks to better serve applications with a highly novel approach.
Responsible for training, tuning, and evaluating models using Deep Learning and Large Language Models. Collaborate with AI engineers to design and maintain ML pipelines. Proficient in crafting ML models and leveraging machine learning frameworks such as SKLearn, XGBoost, PyTorch, and Tensorflow.
As a Staff Machine Learning Engineer, you will design, build, and productionize machine learning models to tackle various business challenges. Collaborating with product and engineering teams, you will focus on data processing, improving service performance, and sharing knowledge through discussions and presentations.
The Senior Business Operations Analyst will manage day-to-day operations related to data and process compliance, respond to requests for support, provide training and reporting, optimize processes, and facilitate the adoption of Service and Application Portfolio Management best practices across teams.
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The Machine Learning Engineer will design, build, and deploy large-scale machine learning systems, collaborating with cross-functional teams to personalize user experiences at Dropbox. Responsibilities include evaluating ML system performance, working with large-scale data systems, and participating in on-call rotations as needed.
Join IonQ as a Staff Scientist - AMO Theory to develop and analyze models of ion-light interactions in their quantum computing system. Contribute to advancing quantum computing platforms and stay current with research in quantum control techniques.
The Senior Intelligence Analyst will focus on providing cyber threat analysis, maintaining customer relationships, and facilitating high customer satisfaction. Responsibilities include preparing reports, conducting briefings, and identifying ways to enhance customer experiences. The role requires expertise in threat hunting and cyber threat intelligence.
The Staff Security Incident Remediation Analyst will improve the Recovery lifecycle of Major Security Incidents (MSIs) at ServiceNow. Responsibilities include documenting Recovery findings, employing data analysis to generate insights, collaborating with stakeholders, tracking Recovery item statuses, and communicating with senior management to improve security measures.
As a Machine Learning Engineer, you will build and scale ML model pipelines, implement MLOps, write production-ready code, and collaborate with clients and global teams to deliver AI solutions. You will also engage in research to evaluate new architecture patterns and technologies.
The Healthcare Operations Analyst will manage customer issues, identify process inefficiencies, document business requirements, and handle system implementation projects. This role requires collaboration with various teams to improve operational efficiency and monitor key performance indicators through dashboards.
As a Principal Engineer in Decision Science, you will lead the domain of decision science including experimentation and causal methods, mentoring teams and shaping technical standards across the organization. You will collaborate with various teams to enhance products, develop impactful technology, and drive strategy along with technical architecture and execution across the company.
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