Top Machine Learning Jobs in Nashville, TN

As a Machine Learning Engineer Intern, you'll enhance model performance, develop production-grade tools, and automate workflows while receiving mentorship from experienced ML professionals.

The Senior Engineering Manager will lead multiple growth engineering teams to build products, improve engineering quality, and drive significant business impact, focusing on user growth through innovative strategies while ensuring high-quality execution under deadlines.

As an Associate Product Counsel at Dropbox, you will advise on user privacy, data protection, and oversee incident response while collaborating with product and security teams.

The Product Owner II oversees product strategy and backlog, collaborating with teams to enhance underwriting risk assessment through AI and analytics.

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.

Lead the design and development of AI-powered features and platforms. Guide teams to create innovative solutions, ensure project success, and mentor team members while enhancing client relationships.

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 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.

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.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user 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.

Own Jerry.ai's marketplace growth and automation products, lead end-to-end development for quoting and carrier integrations, improve data quality and system resilience, partner with engineering and operations, and leverage AI/automation to reduce costs and speed quoting.

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.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.