Top Machine Learning Jobs in Little Rock, AR

Lead the Product Safety team in developing safety strategies for autonomous vehicle technology. Oversee safety standards, mentor engineers, and ensure compliance with ISO standards, focusing on safe system development and deployment.

The Director of Product Management will lead a team to manage CAMP's Aircraft Health Management platform, driving product strategy, modernization, and execution with a focus on customer outcomes and market innovation.

The role involves engaging with customers to provide technical guidance, supporting pre-sales activities, developing technical strategies, and managing risks while collaborating with internal teams to align solutions with customer needs.

The Product Manager at Vic.ai will lead product strategy and development for AI-driven financial products, collaborating with teams to meet customer needs and improve user experience. Responsibilities include market research, UX championing, and data-driven decision-making.

Lead the Data Engineering team at Federato, manage delivery and processes while ensuring alignment across Data Science, Product, and Customer Success.

The Director of Product Marketing will own product launches, drive market growth, support sales, and manage the marketing department in a biotech startup focused on antibiotic resistance diagnostics.

As Head of Sales, you will lead revenue growth in hospitals by selling diagnostic solutions, building a sales team, and engaging key stakeholders.

The Principal Technical Program Manager drives complex, cross-organizational data and AI programs, ensuring clarity and accountability among teams while aligning strategies with measurable outcomes.

As a Staff AI Engineer, you will drive product-centric development of AI technologies, enhance evaluation systems, optimize reasoning strategies, and lead production-grade model tuning while balancing performance and cost.

The Customer Success Manager will drive user adoption and value realization for ISP customers, manage onboarding and retention, and collaborate cross-functionally to enhance customer satisfaction and business growth.

Lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients, guiding architecture and mentoring engineers.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

The Senior ML Ops Engineer will build and maintain infrastructure for AI/ML at scale, manage machine learning models, and support team initiatives while ensuring code quality and engineering standards.

The Senior Software Engineer will develop ML training pipelines, maintain cloud systems, and optimize the ML lifecycle for dental products.

The Director of Machine Learning Engineering is responsible for leading AI strategy, overseeing ML solutions, driving innovation, building teams, and ensuring operational excellence in ML systems.

The AIML Director will define the enterprise strategy for AI, Machine Learning, and Generative AI, leading architecture design and delivery of innovative solutions while mentoring a high-performing team.

Join Clarity AI's Talent Community by submitting an open application for various roles in product, technology, finance, marketing, or operations to drive positive impact.

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

The Vice President, Employer Business Development & Sales will lead and expand a new business group, focusing on sales and relationships with self-insured employers and brokers, utilizing advanced analytics in healthcare benefits management.

Lead product managers overseeing distribution and onboarding experiences, drive product execution, manage a team, and advocate for user needs.

Lead the machine learning and personalization efforts at Babylist, managing a team focused on enhancing product recommendations, search, and revenue through ML initiatives.

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.

As a Software Engineering Intern, you'll develop features for user-facing products, work on API platforms, and design data pipelines while gaining hands-on experience in AI technologies.

The SVP of AI Innovation - Web Scraping will lead the development of AI-driven web scraping strategies, focusing on data acquisition, technology enablement, compliance, team building, and cross-functional collaboration for new data services.

The Product Manager will identify process improvements and innovations, utilize automation and AI, and manage the product lifecycle to enhance productivity and deliver business value.