Top Machine Learning Jobs in Seattle, WA
The Senior Principal Machine Learning Engineer will guide the development and deployment of advanced machine learning algorithms, collaborating closely with various teams to integrate AI functionalities across Atlassian products. Responsibilities include designing system and model architectures, conducting experiments, mentoring other ML engineers, and ensuring the effective use of AI in the product suite.
As a Senior Applied Scientist at Chewy, you will lead the deployment of machine learning and data science to enhance shopping experiences, develop new models, and influence product and engineering strategies. You will mentor junior scientists and present research findings to business leaders.
As the Head of AI, you will define and lead the long-term vision for AI at Remitly, overseeing teams that build machine learning applications. You'll partner with various leaders to scale AI opportunities and drive adoption of best practices, thereby enhancing customer experience and business profitability.
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As an Applied AI Scientist at ZS, you'll develop algorithms for large dimensional problems, apply statistical and data mining techniques on large datasets, evaluate new data technologies, and contribute to thought leadership through research. You'll work in a collaborative environment focused on transforming global healthcare.
The Staff Machine Learning Engineer will design, build and productionize machine learning models to tackle business challenges, collaborate with product managers and engineers, maintain high code quality, and research emerging technologies. They will also share knowledge through presentations and discussions.
The Associate Machine Learning Manager will develop and manage machine learning and AI strategies, lead a multi-disciplinary team to implement machine learning models, and collaborate with peers to deliver value to customers through scalable and robust solutions.
As a Principal Engineer in ML/AI, you will lead technical efforts across teams, drive product development, set engineering standards, and provide mentorship while collaborating closely with various stakeholders to enhance and innovate financial services.
Lead a team of machine learning engineers to develop and optimize a personalized video recommendation engine, defining architecture, conducting A/B tests, and improving performance. Mentor team members, collaborate with stakeholders, and ensure high technical standards.
As a Machine Learning Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, tune and evaluate models, and develop evaluation frameworks and metrics. Your role includes building and evaluating deep learning models and transformer-based models, working collaboratively within an AI engineering team.
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The Senior Machine Learning Engineer will develop innovative pricing algorithms, navigate complex datasets, and lead models from conception to production while collaborating with cross-functional teams in a fast-paced environment.
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