Top Machine Learning Jobs in Columbus, OH

As a Lead Cybersecurity Architect, you will develop and implement cybersecurity solutions, define technical strategies, engage stakeholders, and assess emerging technologies, ensuring high-quality cybersecurity for financial applications.

The Quant Analytics Associate II will manage fraud risk strategies, analyze complex data, and collaborate with teams to enhance fraud prevention efforts in Point of Sale transactions.

The Senior Product Delivery Associate ensures smooth product delivery by managing tasks, supporting change initiatives, collaborating on requirements, and analyzing product metrics.

As a Principal Architect, you will lead architectural strategies, support global solutions, ensure seamless integration, and guide innovations in technology.

As a Principal Software Engineer, you'll enhance and deliver technology products while leading teams in developing scalable code and frameworks.

The role involves managing the product lifecycle of Salesforce functionalities, coordinating with teams, integrating AI, and ensuring product innovation based on stakeholder feedback.

Define and execute the vision for leveraging machine learning and analytics to personalize customer engagement. Oversee product managers, align across teams, and scale data science capabilities.

As a Senior Staff Engineer at Samsara, you will define technical strategies, lead system designs, influence engineering standards, and mentor staff engineers to build AI and ML based solutions that enhance driver safety in physical operations.

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

Lead AI initiatives and governance, enhance AI capabilities, and develop internal training programs while collaborating across teams.

Lead the NG-SIEM serverless platform engineering team, responsible for building global systems, ensuring operational excellence, managing teams, and driving innovation in security data management.

The Engineering Manager will lead the Payments Risk engineering strategy, mentor the team, provide technical leadership, and collaborate across departments to ensure effective risk management solutions are developed for the organization.

As a Senior Staff Engineer at Coinbase, you will improve incentives infrastructure, drive growth, and solve complex technical problems in cryptocurrency applications.

The Senior Staff Software Engineer will design and implement risk platform architecture, mentor team members, and manage project priorities to mitigate financial threats and improve detection of user patterns.

As a Risk Manager, you'll analyze and mitigate security risks, implement fraud defenses, and collaborate with cross-functional teams to enhance security objectives.

The Staff Machine Learning Engineer will define technical strategies, design ML models for document processing and risk assessment, and build scalable ML systems to protect Coinbase users' funds.

The role involves leading and scaling the Risk AI/ML team, managing multiple teams, and owning end-to-end ML systems to mitigate fraud and risk at Coinbase.

The Head of Consumer Product will create engaging experiences using relational AI, focusing on user well-being rather than metrics like engagement. Responsibilities include product strategy, user research, gamification, and community building.

The Senior RAG Engineer at Wipfli will develop AI-powered solutions, working on application design, API construction, and data integration to enhance enterprise AI capabilities.

Lead the development of AI-powered security products focusing on data access governance and DLP, enhancing Dropbox's capabilities for SMBs and mid-market businesses.

The Principal Product Manager will lead strategy and delivery of an AI-native platform, transforming internal products and tools, while engaging with cross-functional teams and overseeing product lifecycle.

As a Staff Machine Learning Engineer, you will develop and maintain ML models for decision-making, optimize pipelines, and collaborate with a diverse engineering team.

Manage and oversee AI-led creative projects, coordinate cross-functional teams, ensure alignment with business goals, and drive project delivery.

As a Machine Learning Engineer Intern, you'll enhance model performance, develop production-grade tools, and automate workflows while receiving mentorship from experienced ML professionals.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.