Top Remote Machine Learning Jobs in Kansas City, MO

Lead the Site Reliability Engineering team by mentoring engineers, setting strategic directions, improving system reliability, and driving SRE principles across the organization.

Equilibrium Energy seeks motivated individuals for various roles including Software Engineering, Data Science, Energy Trading, and Product Management. Candidates are invited to submit resumes and cover letters for future openings.

As a Senior Software Engineer, you will create data pipelines for training and evaluating Waabi's autonomous platform, ensuring quality code and collaborating with a multidisciplinary team.

Lead the transformation of Clinical and Customer Operations at Hims & Hers by driving technology and AI strategy while managing teams, defining product vision, and ensuring alignment with business goals.

Lead a team of Data and ML engineers, develop ML systems, collaborate on AI solutions, mentor staff, and operationalize ML processes.

The DeFi Researcher will lead client engagements, perform research on DeFi mechanisms, develop predictive models, and publish insights while managing a team to ensure client success.

Lead the implementation of AI-driven supply chain solutions, collaborating with clients to enhance their business processes and ensure seamless technology integration.

Drive and implement machine learning applications, optimize practices, formulate hypotheses, and communicate requirements to enhance advertising strategies and systems.

The Staff Machine Learning Engineer will lead the architecture for the Stripe Assistant, improve ML methods, mentor engineers, and ensure reliable, high-trust AI interactions with users.

The Sr. Emerging Technology Engineer develops AI models and cognitive solutions, collaborates with teams, researches technologies, and manages the AI lifecycle to improve consumer experiences.

The Senior Responsible AI Data Scientist will lead ethical AI initiatives, ensuring compliance and transparency while working cross-functionally to develop scalable AI solutions in healthcare.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

Lead MLOps team to build scalable infrastructure for 3D deep learning, drive ML roadmap execution, and collaborate cross-functionally to enhance ML pipelines.

The Director of Digital Business Innovation will lead digital transformation initiatives, emphasizing data, AI, and ML to enhance operational efficiency and business innovation. Collaborate with various teams to execute strategies and drive business results.

The Product Manager will develop AI-driven experiences to enhance member engagement in a healthcare setting, collaborating with multiple teams and setting strategic goals.

Lead machine learning systems for safety and moderation at Reddit, overseeing a team while driving innovation in abuse detection and prevention.

As a Principal Technical Program Manager, you will engage with partners, own the OpenSync roadmap, and manage product activities from definition to release, ensuring alignment with customer needs and market demands.

The role includes developing B2B marketing strategies, collaborating with sales, creating targeted materials, and conducting market research to support growth.

Drive enterprise sales growth across emerging verticals, manage full-cycle sales, and build relationships with C-level stakeholders at innovative companies.

As Government Affairs Manager, you'll drive advocacy strategy, engage with policymakers, and align internal teams on public policy issues affecting identity and technology.

Lead the vision and strategy for ML personalization, enhancing user experience through recommendation systems and data-driven insights; drive product outcomes and collaboration across teams.

The R&D Intern will work on NLP projects, develop algorithms, write academic papers, and collaborate with researchers on novel solutions.

Responsible for developing product strategies, collaborating with cross-functional teams, conducting research for product opportunities, and ensuring shipment of product features quickly.

Support and integrate perception algorithms in self-driving vehicles, ensuring code quality and solving integration challenges across multiple sensor modalities and deep learning models.