Top Machine Learning Jobs in Seattle, WA
The Machine Learning Engineer will create models to drive user and advertiser value at Snap. Responsibilities include evaluating technical trade-offs, conducting code reviews, and building scalable products quickly while maintaining quality. Collaboration and mentorship are key aspects of the role.
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 Threat Analyst, you will analyze malware and detection tickets, improve detection capabilities, and assist internal teams with threat inquiries. You will work with binary files, conduct reverse engineering, and manage false positive detections, ensuring product detections match company standards.
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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.
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 Computer Vision and Machine Learning Engineer will develop innovative solutions using state-of-the-art techniques, maintaining core libraries, integrating computer vision methods with ML, and collaborating with teams to benchmark system performance.
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.
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The Senior Manager of Machine Learning will lead a team in developing machine learning and data science solutions for fraud prevention in financial services. Responsibilities include managing model performance, building team relationships, introducing new algorithms, and constantly improving models in response to trends.
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.
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.
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