Top Remote Machine Learning Jobs in Atlanta, GA

The Data Analyst will conduct full lifecycle analysis, develop reporting capabilities, monitor performance, and identify improvements in data quality and efficiency.

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

The Senior Machine Learning Platform Engineer will optimize ML infrastructures, mentor junior engineers, and raise engineering standards for ML models and systems.

The Senior Machine Learning Engineer will design, build, and lead strategies for risk detection models, mentor team members, and apply advanced AI/ML methodologies to enhance user security and experience.

Lead the design and implementation of AI/ML models for risk and fraud detection at Coinbase. Collaborate with teams to develop scalable systems, mentor engineers, and ensure effective AI/ML solutions align with company goals.

Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.

The Principal Product Manager will oversee AI/ML initiatives, drive product development, translate strategy into technical specs, and manage product lifecycle.

Lead the development of EnergyHub's client-facing platform, manage cross-functional team collaboration, define product features, and ensure alignment with stakeholder goals.

The Senior Manager, Partner Marketing leads a team delivering B2C marketing services to utility clients, oversees marketing strategies, and develops client relationships while ensuring effective team management.

Design tailored AI solutions for supply chain resilience, lead proof of concepts, provide technical advisory support, and enable teams through training.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

In this role, you will design and build a platform for large-scale machine learning model training and optimize its operations. You'll create APIs for both ML practitioners and non-experts, focusing on enhancing cost-effectiveness and reliability in machine learning applications.

Research, develop, and productize Multilingual Live Caption and Translation models while collaborating with a cross-functional team to enhance localization.

Lead a team to build big data pipelines using distributed computing tools, collaborate with cross-functional teams, and drive technical and business priorities.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

Develop and enhance ML infrastructure for LLMs, partnering with multidisciplinary teams to deliver scalable, robust systems impacting user experiences.

The Training & Education Specialist will design and deliver training programs for customers and internal teams, enhancing client adoption of Vividly's platform using modern tools including AI and automation.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

The SIGINT Systems Engineer will guide SIGINT programs through Agile practices, Cloud migration, and automation, focusing on systems engineering and integration.

The Account Executive will drive sales in the Federal (DoD) sector by identifying and closing new business, managing relationships, and overseeing the sales cycle, while ensuring compliance with federal procurement processes.

Lead product strategy for core distribution products, manage product managers, drive user engagement, and collaborate across teams to optimize product-market fit.

The Senior Staff Machine Learning Engineer will develop AI-powered solutions, mentor engineers, and collaborate with cross-functional teams to enhance Airbnb's customer experience through advanced machine learning technologies.

The role involves leading analytics initiatives to support community support, driving data-informed decisions, building insights platforms, and using statistical models for product improvement.

Design and optimize core platforms for machine learning features while collaborating closely with product and engineering teams. Refine user experience across products and influence the product roadmap.