Top Senior Machine Learning Jobs in Memphis, TN

Senior backend engineer responsible for building and scaling resilient, low-latency cloud systems for Coinbase Growth. Launch, iterate, and run experiments across web, mobile, backend, data and ML to drive user growth; collaborate with cross-functional teams and write well-tested production code.

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.

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

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

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.

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 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.

Lead and develop a team of backend engineers, ensure high standards for core pricing systems, and guide technical strategy while collaborating across teams.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Senior Agentic Product Manager will lead the strategy for Agentic Managed Detection and Response, focusing on innovation, requirements gathering, and metrics development across various domains.

Design, lead, and evolve the Channel Integrity Program to manage risks related to bribery, corruption, and fraud, utilizing predictive analytics and compliance strategies.

Lead the development of audit practices, enhance methodologies, integrate data analytics, ensure compliance, mentor teams, and communicate effectively with leadership.

As a Staff Machine Learning Engineer, you will develop and maintain ML models for decision-making, optimize pipelines, and collaborate with a diverse engineering team.

Manage global technical support teams for MongoDB, focusing on customer satisfaction through technical issue resolution, performance enhancement, and team development.

The Senior RAG Engineer at Wipfli will develop AI-powered solutions, working on application design, API construction, and data integration to enhance enterprise AI capabilities.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

The Head of Consumer Product will create engaging experiences using relational AI, focusing on user well-being rather than metrics like engagement. Responsibilities include product strategy, user research, gamification, and community building.

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.

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

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

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.