Top Machine Learning Jobs in Oklahoma City, OK

The VP of Business Development will lead sales growth strategies, manage relationships, and build the BD team to drive significant revenue increases.

As a Machine Learning Engineer, you will develop and operationalize models for content understanding and discovery, collaborating with cross-functional teams and stakeholders to solve impactful problems using machine learning.

The role involves researching and prototyping computer vision models, leading ML projects, and collaborating with engineers to implement solutions. You will explore state-of-the-art models using PyTorch and contribute to open-source initiatives.

As an Enterprise Account Executive, you'll manage end-to-end sales cycles, qualify leads, close deals, and collaborate with various teams to drive growth in customer accounts.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

The Principal Engineer will lead technical strategy for ad products, mentor teams, oversee significant engineering projects, and drive innovation in machine learning and advertising technology.

As a Principal Product Manager at Mapbox, you'll drive the navigation strategy by collaborating with engineering and cross-functional teams, analyzing data trends, mentoring staff, and engaging with customers to innovate and execute on product solutions.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

Lead the strategy for community support products, utilizing AI to enhance user experience and scalability globally. Collaborate with teams to create a seamless support platform and assess product performance.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

As Customer Success Manager, you will manage customer relationships, ensure they achieve their goals with ReflexAI, and collaborate with cross-functional teams.

The Principal ML Engineer will define and lead the ML architecture and strategy, solve complex challenges, and mentor engineers across the company.

As an AI Scientist, you will develop deep learning methods, work on AI models for drug discovery, and collaborate with interdisciplinary teams.

Join Xaira Therapeutics as an AI Research Engineer to develop AI models for drug discovery. Collaborate with interdisciplinary teams to leverage AI in healthcare.

The Senior Project Manager will oversee collaboration projects, manage cross-functional teams, ensure project timelines are met, and maintain effective communication between internal and external stakeholders.

Lead the Consumer Data Science team, drive impactful data decisions, build a world-class organization, and influence company strategy through data insights.

The Director of AI Innovation & Enablement will develop and execute an AI strategy to drive efficiency, automation, and workforce enablement aligned with strategic goals, collaborating across functions and defining success metrics.

The Research Scientist will conduct studies on natural language processing and machine learning, transition models to production, conduct experiments, publish research, and create new models to enhance products.

Lead product marketing initiatives at Viaduct, creating compelling content, partnering with sales and product teams, and driving demand in the automotive sector.

Lead AI development at Bloomerang, overseeing product strategy, managing teams, ensuring ethical AI practices, and integrating innovative AI solutions for nonprofits.

Design, build, and own automation systems that enhance Valimail's go-to-market strategies. Collaborate cross-functionally to implement data-driven workflows and improve revenue outcomes.

The ML Research Scientist will focus on researching and implementing methodologies for explaining and evaluating fairness in ML models, ensuring compliance and trustworthiness in lending practices.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Lead the fraud strategy to protect customers and card portfolios, develop real-time models with Data Science, and manage fraud performance metrics. Collaborate across teams to implement effective fraud controls and optimize processes.

The Staff Product Manager will set product vision, drive execution, utilize data for decision-making, and collaborate across teams to grow SMB advertiser retention.