Top Remote Machine Learning Jobs in Memphis, TN

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Research Scientist at Upstart will develop machine learning models to enhance borrower risk predictions, design prototypes, and collaborate with cross-functional teams while mentoring junior members.

Lead AI and machine learning innovation for new vehicle analytics, develop statistical models, and ensure alignment with business strategies. Communicate insights to leadership and collaborate with various teams.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

The Director of Engineering, Data Platform will define Liftoff's data engineering strategy, lead teams in building scalable data infrastructures, and collaborate with R&D and product leaders for high-quality delivery and innovation.

The role involves leading the Risk AI/ML team at Coinbase, managing multiple teams to build scalable ML systems for fraud detection, setting strategic vision, and collaborating with senior leaders across departments.

Lead teams in developing computer vision and machine learning solutions for AI dash cameras, focusing on safety insights and risk monitoring. Oversee model lifecycle and collaborate with cross-functional teams for feature deployment at scale.

The Senior Clinical Informaticist will bridge clinical expertise with data science, collaborating on digital health solutions, overseeing data integrity, and mentoring a team.

Lead complex cross-functional technology projects, ensuring timely delivery through strategic planning, proactive risk management, and effective communication with stakeholders.

Lead Circle's global fraud risk management program, overseeing analytics, compliance with regulations, and investigations into fraud. Collaborate with stakeholders to assess and mitigate fraud risks.

The Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

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

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.

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.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

The Principal Machine Learning Engineer shapes the machine learning strategy and architecture, leads initiatives, mentors engineers, and influences technical decisions at SharkNinja.

Lead the design, development, and deployment of machine learning models, collaborating with teams and mentoring engineers. Focus on scalable ML workflows.