Top Senior Machine Learning Jobs in Cleveland, OH

Lead the Client Solutions team, ensuring the execution of complex transactions while driving innovation and client advocacy. Oversee operations, build client relationships, and implement strategic frameworks for growth.

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.

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

Lead a team to develop groundbreaking technology combining NLP, big data, and AI to enhance digital communication and interaction.

As a Senior Solution Consultant, you'll advise clients on identity verification solutions, lead technical workshops, and collaborate with sales and engineering teams to ensure client satisfaction and product alignment.

The GTM role focuses on increasing revenue through new sales and partnerships, understanding client needs, and communicating product value.

The Senior Product Manager will lead the development of HubSpot's usage data platform, ensuring reliable analytics, defining product vision, and collaborating across teams.

As a Staff Machine Learning Engineer, you'll design and productionize ML models, collaborate with various teams, and mentor junior staff, impacting mental health care accessibility.

The Forward Deployed Engineer collaborates with clients to solve complex problems using technology, integrating systems, writing production code, and leading projects to deliver impactful solutions in areas like financial crime prevention and national security.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

Oversee day-to-day operations in revenue cycle management, ensuring compliance with standards, performance metrics, and excellent patient experiences. Lead teams and support continuous improvement initiatives.

The VP of Product will lead the strategic vision and execution of the Sensei DPMS, managing a $100M product portfolio while driving digital transformation to cloud environments.

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

The Product Tax Lead will manage tax requirements in product lifecycles, ensuring compliance and collaboration between Tax, Product, and Engineering teams.

The Senior Engineering Manager at Planet leads the engineering team, focusing on delivering products for Defense Intelligence. Responsibilities include mentoring engineers, refining processes, and collaborating across teams for effective deployment of technology.

Lead technical engagement across pre-sales, deployment, and post-sales for on-premises quantum systems. Drive customer success, inform product development, support sales with deep HPC/AI/optimization expertise, present at industry events, and translate customer needs into deployment strategies and R&D feedback.

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

Lead product development for credit card decisioning and customer journeys, translating credit policy and data into real-time actions. Partner with Engineering, Data, and Credit to operationalize underwriting and payment models, run experiments, use SQL for analytics, and craft roadmaps that balance business outcomes with customer well-being.

Lead efforts in applying reinforcement learning techniques to enhance model quality and controllability for creative applications. Mentor researchers and contribute to human-in-the-loop systems.

The VP of Marketing will scale marketing functions, drive demand generation, build teams, establish marketing strategies, and coordinate with sales to enhance pipeline and revenue growth.

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.

As a Product Manager for Risk, you'll design fraud prevention tools, manage cross-functional teams, and improve fraud detection methods.

The Senior Backend Data Engineer will extend data ingestion and processing pipelines, build APIs and backend services, and provide technical leadership.

Lead technical integrations with affiliate partners, own inbound data validation and routing, improve and evolve APIs, monitor and ensure high-performance, and build testing/observability for real-time bidding pipelines.