Top Remote Machine Learning Jobs in Dayton, OH

The Engineering Manager will lead a team in developing a Dispatch Optimization platform, focusing on data science, ML engineering, and operational efficiency, while fostering talent and ensuring project delivery.

The Risk Analyst will develop strategies to mitigate fraud risk, analyze data, and collaborate with various teams to support low friction customer experiences. Responsibilities include reviewing accounts, creating analytical models, and reporting on progress against business goals.

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

The role involves managing the product lifecycle of Salesforce functionalities, coordinating with teams, integrating AI, and ensuring product innovation based on stakeholder feedback.

Define and execute the vision for leveraging machine learning and analytics to personalize customer engagement. Oversee product managers, align across teams, and scale data science capabilities.

Lead product management and technology initiatives for supply chain and manufacturing systems at Dandy, driving strategic vision and execution for growth.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

As a Senior Staff Engineer at Samsara, you will define technical strategies, lead system designs, influence engineering standards, and mentor staff engineers to build AI and ML based solutions that enhance driver safety in physical operations.

Lead the Data Science & Engineering department, fostering a data-centric culture, overseeing teams, and collaborating on data strategy to enhance organizational insights and product experiences.

Design and implement the core Risk platform architecture, manage projects, mentor team members, and write high quality code for Coinbase products.

The Engineering Manager will lead the Payments Risk engineering team, developing strategies, mentoring staff, maintaining software quality, and enhancing team culture.

Lead the product vision, strategy, and execution for Consumer Risk within Checkout at Affirm, focusing on credit decisioning, pricing, and fraud prevention while managing a team of Product Managers and collaborating with various functional teams.

The AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

Lead a team of data scientists to deliver insights and data-driven solutions. Provide technical leadership, manage projects, and foster a culture of innovation.

The Senior Product Manager will lead Provider Experience, simplifying workflows and enhancing clinician support through effective system management and cross-functional collaboration.

As an Account Executive, you'll drive strategic sales, acquire new enterprise customers, negotiate contracts, and manage a sales pipeline for Runpod's AI infrastructure offerings.

As a Director in Financial Risk Management, you'll lead analytics development, enforce risk limits, ensure model governance, and collaborate for strategic risk integration.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The Senior Director, Strategic Solutions will drive adoption of C3 AI's products within the U.S. Air Force, developing sales strategies and engaging with key stakeholders.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.

As a Machine Learning Intern, you'll prototype and evaluate ML systems, collaborate with teams, and analyze large datasets to improve user experiences.

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

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

As a Machine Learning Subject Matter Expert, analyze ML systems, validate claims, evaluate model performance, and collaborate with teams to report findings.