Top Machine Learning Jobs in Kansas City, MO

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

This internship program offers hands-on experience in data analytics, engineering, and AI/ML, working on projects that impact business decisions and collaborating with data professionals.

The role involves designing, developing, and deploying machine learning models for healthcare applications, collaborating with cross-functional teams, and optimizing model performance.

As a PhD Systems & AI/ML Research Intern, you'll work on infrastructure problems, build prototypes, run benchmarks, and document findings.

The Senior Sales Specialist, AI will promote AI solutions, lead sales engagements, conduct customer discovery, and collaborate with teams for pipeline growth.

The Director of Sales will lead enterprise infrastructure sales in healthcare, nurturing high-value prospects, and achieving revenue targets through strategic partnerships.

As a Senior AI Platform Engineer at Vanta, you will design, build, and improve AI infrastructure and tooling, collaborating with product and AI engineering teams to enhance AI capabilities.

Lead and manage a team developing ML models for self-driving vehicles, define motion planning projects, and collaborate with cross-functional teams to enhance performance.

Lead the development of advanced perception algorithms for self-driving vehicles. Collaborate and mentor engineers, optimize algorithms, and implement sensor fusion for robust perception systems.

SirenOpt is looking for individuals interested in potential future opportunities. Interested candidates can submit their resumes for consideration.

Lead and design Azure Infrastructure projects, ensuring security and best practices are followed. Mentor teams and communicate effectively with clients.

The Lead Database Engineer designs and oversees data architecture, leveraging AI and machine learning to manage structured and unstructured data and ensure data integrity.

The Sales Director will drive revenue by selling programmatic media solutions, cultivate client relationships, and collaborate with sales and marketing teams to enhance service.

The Head of Communications & Brand Innovation at Socure will develop modern communication strategies combining storytelling with automated brand distribution while managing reputation and analyst relations.

The Territory Director role involves building strategic partnerships, acquiring new customers, and executing territory development strategies to drive sales and growth for phData.

Lead the Data Science team, overseeing the development and deployment of ML solutions, managing analytics workflow, and collaborating with cross-functional teams.

Lead the Embeddings Platform Team, architecting and maintaining foundational ML embeddings, driving projects, and building a high-performing team to support machine learning initiatives across Reddit.

The Senior Product Manager will lead the development of WFM product suite, defining strategy, executing product lifecycle, and leveraging AI for enhancements.

The Marketing Innovation Director will lead AI-driven marketing strategies, pilot new tools, evaluate ROI, and enable cross-functional collaboration to enhance marketing efficiency and effectiveness.

The Sr. Paid Media Manager will strategize paid media campaigns, manage client relations, mentor team members, and leverage big data and AI for campaign success and client growth.

Lead the Applied ML team's experimentation efforts, mentoring scientists and engineers to improve AI-driven methodologies and collaboration across various product areas.

This role involves managing system enhancements, supporting project implementation, reengineering processes, and improving efficiency through automation and technology.

The Infrastructure Architect will design scalable and secure infrastructure solutions for digital initiatives such as cloud adoption and machine learning while collaborating with teams to meet business and regulatory goals.

The Data Analyst will prepare and analyze data for predictive modeling, support multiple projects, and collaborate with various teams to enhance data processes and insights.

The role involves driving data governance strategy and practices across the Bank, collaborating with cross-functional teams, leading data quality initiatives, and mentoring analysts while ensuring compliance with data governance standards and improving data quality.