Top Machine Learning Jobs in Fayetteville, AR

As a Software Engineer at Speechify, you'll enhance AI Voice products, optimize ML pipelines, and improve deployment tools in a fast-paced environment.

The role involves managing a team of Solutions Architects, driving customer success in Data + AI, and coordinating with the sales team to increase revenue.

The Senior Product Manager will lead the development of medication prescribing capabilities, utilizing AI and machine learning to enhance member experiences and drive health engagement.

As Director of OEM Integrations, you will lead integration strategies, manage teams, enhance processes, and ensure alignment with business goals.

Responsible for designing and implementing AI solutions across cloud platforms, leveraging Generative AI, and managing AI services, pipelines, and infrastructure.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

Develop and maintain cutting-edge LLM projects, lead NLP models, own ML systems, and enhance user experiences on Poe platform.

Lead machine learning projects from conception to production, enhance ranking systems, mentor team members, and implement high-performance distributed systems.

As a Research Scientist, develop algorithms for AI evaluation and conduct research on language models, leading projects and collaborating with teams.

Seeking a Senior Full Stack .NET Developer to work on a social good project, with strong skills in C#, AngularJS, design, and UX. Requires 5+ years of experience.

Lead AI engineering initiatives to develop and implement innovative AI/ML solutions while enhancing software development processes across Owlet's products.

Join Trexquant as a Global Alpha Researcher to develop trading signals, implement research, and apply machine learning for alpha discovery.

As a Principal Product Designer & Product Manager, you will drive product creation, merging strategy and design while integrating AI tools to enhance workflows. You will lead user research, design processes, and cross-functional collaborations to meet business goals and improve user experiences.

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

Design and build a machine learning platform, deploy ML models, collaborate across teams, and establish monitoring standards for AI solutions.

Lead product strategy for core distribution products, manage product managers, drive user engagement, and collaborate across teams to optimize product-market fit.

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.

The Training & Education Specialist will design and deliver training programs for customers and internal teams, enhancing client adoption of Vividly's platform using modern tools including AI and automation.

Lead the full-cycle recruitment for the Machine Learning team, develop sourcing strategies, and improve hiring processes while ensuring a positive candidate experience.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

The Account Executive will drive sales in the Federal (DoD) sector by identifying and closing new business, managing relationships, and overseeing the sales cycle, while ensuring compliance with federal procurement processes.

Lead the development of EnergyHub's client-facing platform, manage cross-functional team collaboration, define product features, and ensure alignment with stakeholder goals.

The Senior Manager, Partner Marketing leads a team delivering B2C marketing services to utility clients, oversees marketing strategies, and develops client relationships while ensuring effective team management.

Design and optimize core platforms for machine learning features while collaborating closely with product and engineering teams. Refine user experience across products and influence the product roadmap.

Lead product vision for ranking systems and Data API. Collaborate with teams to drive innovation, manage products, and identify investment opportunities.