Top Machine Learning Jobs in Atlanta, GA

The role involves leading ML/AI solutions, managing technical roadmaps, collaborating with stakeholders, and driving innovation in products and services.

The Software Engineer will develop machine learning infrastructure, optimize models, and create tools for data analysis while collaborating with a diverse team.

The Machine Learning Engineer will build and scale ML models, collaborate with cross-functional teams, and improve real-time recommendations for Stitch Fix's clients.

The Machine Learning Solutions Architect designs and implements data solutions, overseeing model deployment and ensuring robust performance and integration within customer environments.

Design and implement ML systems for ads targeting, drive technical direction, mentor junior engineers, and collaborate cross-functionally for product development.

Design and architect AI/ML solutions, build document parsers and classifiers, maintain AI systems, and collaborate with cross-functional teams.

The Account Executive will drive revenue growth, manage client relationships, execute sales deals, and optimally align market strategies for NexGen Cloud's GPU solutions across various industries.

The Director of Business Product Management will define and execute the vision for the Automotive CRM platform, prioritizing customer needs, leading product initiatives, and collaborating across teams to enhance automotive retail experiences.

Lead mobile app attribution strategies, collaborating with teams across engineering and data analytics to optimize performance and feature implementation.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.

As a Senior Machine Learning Engineer, you will develop and deploy AI-driven products to enhance clinical trials, collaborating with teams to improve patient care through scalable machine learning solutions.

As a Senior Machine Learning Engineer, you'll design and deploy ML models for real estate media while collaborating across teams to optimize solutions and improve user experience.

The Staff Product Manager will define and lead ML-driven ranking, targeting, and personalization systems for Fetch's ads business, working with cross-functional teams to optimize user experiences and advertiser outcomes.

Join a team focusing on end-to-end ML Ops for the insurance sector. Develop and deploy ML solutions, build infrastructure, and solve business challenges using advanced technologies.

The role involves sourcing and recruiting senior engineers in AI, ML, and related fields, building talent pipelines, and collaborating with engineering leadership.

The Principal Product Manager will lead data initiatives, defining the roadmap for a comprehensive platform, establishing KPI metrics, and collaborating across teams to enhance data-driven decision-making within the automotive sector.

Lead and mentor a team in building ML pipelines and AI solutions, oversee data projects, and collaborate with cross-functional teams for impactful insights.

Lead the design and implementation of advanced ML systems at Airbnb, mentoring engineers and shaping concepts into impactful products.

The Enrollment Advisor helps prospective patients through the onboarding process, providing information and support throughout their enrollment in Revero's program.

Lead the evaluation and optimization of large-scale datasets for AI training, ensuring data quality and collaborating with research teams.

The Staff Product Manager will drive the vision and strategy for Reddit's Ad Recommendations, collaborating across teams to optimize advertising solutions and enhance monetization efforts.

Lead the Auto-Bidding team's technical vision, optimize recommendation and forecasting systems, mentor a high-performing engineering team, and drive technical projects in ad technology.

Lead a machine learning team focusing on natural language applications in educational measurement, mentor scientists, and drive R&D innovations.

Lead a team of Machine Learning engineers, drive technical direction, oversee large-scale ML systems and improve user experience for over 500M users.