Top Machine Learning Jobs in Atlanta, GA

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.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

As a Staff Applied Machine Learning Engineer, you'll design and implement LLM applications, integrating ML features to enhance user experiences and scalable services.

Lead product management for an ML-driven CAD prosthetic design system, managing product lifecycle, strategy, and cross-functional collaboration.

The Staff Full Stack Engineer will enhance machine learning workflows at Cruise by developing UX experiences, backend integrations, and overseeing system architecture and performance metrics.

The role involves consulting with State & Local Government clients to implement digital transformation strategies using AI, managing customer engagement, and developing new product offerings aligned with public sector goals.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

The Senior Machine Learning Engineer will design and optimize ML models, manage end-to-end ML projects, and enhance SailPoint's AI capabilities while collaborating with various teams to integrate AI features into products.

Lead a team of ML and DevOps engineers to build infrastructure for the ML ecosystem, including tools for experimentation and deployment. Manage a distributed team while enhancing capabilities in ML system operation and analytics production.

As a Principal Marketing Analyst, you'll drive data-driven marketing decisions, build reporting frameworks, and conduct advanced analytics to enhance marketing strategies and performance.

Lead the Product Marketing Management team to drive revenue growth and market awareness, overseeing product strategy, pricing, and cross-functional alignment while mentoring the team and advocating for customer insights.

The Data Scientist manages and analyzes data, develops predictive systems, collaborates with teams to create analytics tools, and supports clients' mission-critical needs through statistical analyses and data manipulation.

The Strategy & Analytical Consultant develops business strategies using Equifax's analytics platform, collaborates with clients, and drives new sales opportunities through quantitative analyses.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

The fellow will conduct original security research on AI/ML systems, design attack methodologies, develop defensive techniques, and publish findings.

As a Staff Machine Learning Engineer, you will lead the design, implementation, and optimization of machine learning models, collaborate cross-functionally, and drive AI strategy to enhance SailPoint's identity security solutions.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

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 Data Scientist, you will design and maintain metrics and analyses, develop predictive models, conduct experiments, and collaborate with internal and external teams to enhance data-driven decision-making.

Collaborate with stakeholders to define and deliver products, develop new features, create mock-ups, and establish product requirements in the post-acute care software space.

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.