Top Machine Learning Jobs in Spokane, WA

As a Data Science Intern, you will apply statistical and machine learning techniques to solve problems in the insurance industry, collaborate with experienced data scientists, and present your findings to stakeholders.

Lead a team to advance performance marketing through machine learning and data-driven strategies, optimizing budget allocation and measuring impact.

As a Business Operations Associate, you will drive data-driven decisions, conduct analyses, and optimize processes in collaboration with various teams to support substantial revenue growth.

Zillow seeks a Principal Applied Scientist to develop multimodal AI technologies for the real estate industry, focusing on computer vision and natural language processing to enhance the user experience.

The Director will develop and enhance credit strategies using ML and data analytics, oversee credit quality, and ensure compliance while guiding a team.

The Senior Manager of Credit Risk Analytics oversees credit strategies and risk management for Personal Loan portfolios, ensuring compliance, optimizing performance using ML, and collaborating cross-functionally to enhance business growth and minimize credit losses.

Lead forward engineering in supply chain and planning using industrial AI technology. Drive projects focused on operational data optimization and AI integration.

The Global Process Owner for S&OP leads the design and continuous improvement of the S&OP process, ensures collaboration across functions, and drives digital transformation and automation within the organization.

The Director of Adversary Engineering will define strategies for log management and security automation, lead the development of automated workflows, and optimize security systems using AI/ML techniques.

The DS&ML Group Product Manager oversees Data Science and Machine Learning capabilities, defining strategic vision, managing product portfolios, and ensuring delivery aligned with business needs. Responsibilities include developing roadmaps, executing models, scaling functionalities, and mentoring a team.

As a Machine Learning Intern, you'll prototype and evaluate ML systems, collaborate with teams, and analyze large datasets to improve user experiences.

The role focuses on using coding and data analytics to optimize manufacturing processes. Responsibilities include developing software for Industry 4.0 initiatives, enhancing manufacturing systems, and providing technical support to various teams.

The Data Scientist will analyze, design, test, and implement applications for product improvement, utilizing advanced data analytics and machine learning techniques, while supporting plant projects and mentoring team members.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

Lead multi-omics analyses in therapeutic discovery, focusing on structural biology and proteomics; develop Python solutions and communicate findings.

As Director of Engagement Management, oversee the team, drive customer success strategies, manage operations, and enhance product utilization while fostering team development and customer relationships.

Lead complex projects leveraging AI and machine learning to deliver innovative data-driven solutions, requiring extensive experience and technical expertise.

Lead the Mid-Market Sales team to connect technical organizations with AI and data science tools, driving adoption and growth through value-based selling and strong partnerships with engineering teams.

The Director of Personalization & Retention will develop and execute a personalization strategy, leveraging AI to enhance customer engagement and drive revenue. Responsibilities include leading a marketing team, collaborating cross-functionally, and optimizing customer experiences through data-driven insights and testing frameworks.

The Lead Data Scientist will architect AI solutions for the energy sector, develop ML algorithms, and collaborate with leadership to shape product strategy.

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

As a Machine Learning Engineer, you'll design and implement scalable ML systems, develop data pipelines, support model experimentation, and collaborate across teams to deliver impactful ML solutions.

The AI Engineer will design, implement, and prototype GenAI and ML solutions to enhance operational intelligence and efficiency in investment services.

As a Staff Software Engineer, you will lead engineering teams, collaborate cross-functionally, drive technical initiatives, and contribute to code while ensuring system resiliency.