Top Senior Machine Learning Jobs in Atlanta, GA

Lead the design strategy for client and stylist experiences at Stitch Fix, incorporating AI, managing a design team, and driving product evolution.

The Senior Researcher will develop and implement quantum algorithms for financial applications, collaborating with teams to address high-value financial use cases and engage with financial institutions.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

Lead the development of deep learning models for email data, optimize models, design evaluation frameworks, integrate products, and mentor junior researchers.

Seeking a Senior Full Stack .NET Developer to work on a social good project, with strong skills in C#, AngularJS, design, and UX. Requires 5+ years of experience.

Design and build backend systems and APIs for AI-driven products, ensuring scalability, reliability, and integration of ML models while collaborating with engineering and product teams.

Lead product management for AI tools in software/SaaS, manage product lifecycle, drive strategic roadmap, and ensure product adoption through iterative shipping and user feedback.

The Principal Engineer leads a technology team ensuring operational stability and development of technology solutions for business functions, managing resources and communicating with stakeholders.

The S&OE Process Manager oversees Clorox's S&OE process improvements in the IBP teams, providing training and technical solutions while monitoring performance and enhancing methodologies.

The Senior B2B Marketer will develop and execute marketing strategies, collaborate with Sales, create marketing materials, conduct research, and optimize marketing effectiveness to drive growth in the gaming and 3D industries.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

The AVP, Digital Portfolio Management oversees P&L for small business products, driving underwriting profitability and digital transformation through analytics, cross-functional collaboration, and strategic initiatives.

The Senior Sales Manager will drive revenue growth by selling analytics and data solutions, managing sales cycles, and engaging with clients to deliver value through data-driven strategies.

The Head of Fraud will establish risk functions, manage KYC, monitor fraud exposure, optimize transaction models, and collaborate across teams.

The Engineering Manager will oversee a team managing cloud data engineering projects, client engagement, and technical leadership, ensuring successful delivery and mentorship.

Develop and deploy large-scale, fault-tolerant agentic AI systems, lead initiatives, and ensure trustworthy AI agent interactions. Require 5+ years experience and advanced degree in relevant fields.

The role involves building and optimizing a machine learning and simulation platform, supporting MLOps, model deployment, and infrastructure modernization, while mentoring engineers.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

The Business Development Director will lead strategic engagement with Google Cloud, focusing on partnership growth, go-to-market strategies, and revenue generation through cloud solutions.

The Business Development Director will lead strategic engagement with Oracle Cloud Infrastructure, focusing on alliance strategies, go-to-market execution, and revenue growth through innovative cloud solutions.

Lead the design and implementation of AI-driven fraud prevention strategies, balancing user experience with security to protect user data and prevent unauthorized access.

As a Senior Data Scientist, you will identify business opportunities, build machine learning solutions, partner cross-functionally, and translate analyses into actionable insights.

The Senior Engineer, Machine Learning Engineering develops and deploys large language models and generative AI solutions, focusing on scalable AI systems, MLOps, and collaboration with cross-functional teams for business impact.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

Lead product strategy and execution for enterprise engagements at Invisible. Mentor product managers, shape client solutions, and ensure delivery aligned with business value.