Top Senior Level Machine Learning Jobs in Seattle, WA
The Senior Staff Scientist will develop hybrid AI applications optimized for quantum computing, lead a team of PhD scientists, collaborate across various technical teams, and engage with clients to identify valuable quantum applications. Responsibilities include developing quantum algorithms, integrating them with AI models, and influencing a multi-year Quantum AI roadmap at IonQ.
As a Senior Applied Scientist, you will lead the Sponsored Advertising team at Chewy, deploying machine learning and data science to enhance product discovery and customer engagement. Responsibilities include developing predictive models, collaborating with product leaders, mentoring junior scientists, and communicating research insights to executive leadership.
As a Senior Machine Learning Engineering Manager, you'll oversee the machine learning lifecycle, innovate on algorithms, mentor team members, and engage with various stakeholders to enhance business impact through AI solutions.
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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.
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 Principal Engineer, Machine Learning / AI will drive technical capabilities in ML and AI across multiple teams, mentor data scientists, lead technical standards, and advocate for best practices. The role involves hands-on development of ML/AI products and collaboration across various business units to enhance systems and products.
As a Senior Data Scientist in Machine Learning at Lyft, you will develop mathematical models to enhance core services, optimize ride supply and demand, and collaborate with cross-functional teams to implement algorithms that improve user experiences for riders and drivers.
As a Machine Learning Engineer at Stripe, you will design and build scalable ML platforms, develop deep learning architectures for payment entities, and collaborate with data scientists to enhance product features using machine learning. The role focuses on deploying advanced ML applications and optimizing infrastructure for rapid experimentation.
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