Top Machine Learning Jobs in Seattle, WA
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 Sr. Machine Learning Engineer at CrowdStrike, you will innovate with machine learning technology, create backend microservices, maintain data pipelines, and collaborate on solutions for complex projects, all while ensuring coding quality and contributing to team learning in a remote-first environment.
As an Applied AI Scientist at ZS, you'll develop advanced algorithms, execute data mining techniques, evaluate datasets and technologies, and contribute to the firm's thought leadership in analytics and machine learning.
Featured Jobs
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 Staff Software Engineer in Machine Learning Infrastructure, you'll develop scalable machine learning workflows, backend infrastructure for cloud and mobile training, and data management systems. Collaboration with product teams to enhance machine learning applications in Snapchat is key. You'll apply strong software engineering principles to tackle advanced deep learning problems.
The Lead Machine Learning Engineer will develop, implement, and optimize recommendation algorithms for Disney's media platforms. This role involves collaborating with engineering and product teams to achieve personalization goals, maintain ETL pipelines, and ensure best practices in algorithm development. The engineer will also drive the roadmap for algorithmic projects to enhance content recommendations.
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 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.
.png)
You will develop and build machine learning models to detect fraudulent activity and assess risks in international money transfers, ensuring models meet latency and uptime requirements and collaborating with data scientists and engineers.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
