Top Machine Learning Jobs in Atlanta, GA

As a Senior Machine Learning Engineer, you will design and implement complex machine learning models, conduct experiments, maintain infrastructure for ML models, and mentor junior team members. You will also stay updated with the latest advancements in machine learning and present project results to stakeholders.

The Engineering Manager will lead a team focusing on productionizing machine learning features for Runway's creative tools, driving innovative AI solutions while collaborating with leadership and the engineering team to prioritize goals and develop impactful ML projects.

The Senior Engineer, Machine Learning will collaborate with business teams to design and implement AI solutions. Responsibilities include algorithm development, data processing, infrastructure design, model training, and deployment. The role necessitates technical leadership, mentorship, and staying current with AI trends.

As a Staff Machine Learning Engineer in the pricing guidance team, you will develop and refine machine learning models for pricing recommendations, focusing on reinforcement learning techniques. You will collaborate with data scientists and product managers, analyze model performance, and integrate models into user-friendly tools for hosts, while aligning efforts with Airbnb's strategic goals.

Hightouch is looking to hire a Software Engineer specializing in Machine Learning to expand their data activation products with an intelligence layer. The role involves working on personalization, product recommendation, automated experimentation, predictive audiences, content generation, and budget optimization using data warehouses and databases.

As a Senior Software Engineer for the ML Training Platform, you will build and maintain scalable ML data processing and model training solutions, optimizing performance on AWS with Kubernetes. You will develop new features in the ML codebase and collaborate with machine learning engineers to enhance training efficiency.

As a Principal Engineer for the ML Training Platform, you will lead a high-visibility team to design and optimize scalable ML data processing and model training solutions in the AWS cloud, utilizing Kubernetes and various deep learning frameworks. You will collaborate with multiple teams to deliver autonomous vehicle software and manage technical risks.

As a Senior ML Engineer, you will lead the AI/ML practice, design scalable data pipelines, and collaborate with teams to deploy machine learning models. You will also implement monitoring solutions, optimize the deployment process, and evaluate new technologies to enhance ML systems.

As a Machine Learning Engineer for the Advertiser Budget Optimization team at Reddit, you will build and optimize advertising budget systems using advanced techniques, collaborate on technical designs, and analyze experiments to enhance monetization efficiency. Your role involves working with real-time auction data and engaging with various teams for system improvements.

As a Lead AI ML Engineer, you will design, develop, and deploy machine learning models and data pipelines, drive impactful business decisions, and manage the data infrastructure in collaboration with data engineers and scientists while ensuring high-quality outputs.

The Senior Staff Machine Learning Engineer will develop algorithms to enhance Reddit's Ads Marketplace, optimizing auction and pricing mechanisms. Responsibilities include strategy development, overseeing ML workflows, mentoring team members, and collaborating with cross-functional teams.

The Machine Learning Engineer will develop and enhance search retrieval and ranking models, design pipelines for high-quality answers, collaborate with teams to build a recommender system, and ensure system performance and reliability within Reddit's emerging search product ecosystem.

As a Senior Machine Learning Engineer at Coinbase, you will develop and deploy machine learning solutions for various applications including fraud detection, recommendation systems, and enhancing user experience. You will also create tools and infrastructure to promote the widespread use of machine learning across the company.

As a Software Engineer focused on Data, AI/ML, and Analytics at Canonical, you will collaborate on developing end-to-end data analytics and machine learning solutions. Your responsibilities include designing and maintaining solutions for both public/private clouds, working with open-source tools, and engaging with a distributed team.

As a Senior Engineer in Computer Vision/Machine Learning, you will design and develop automated semantic mapping solutions for autonomous driving. Responsibilities include processing sensor data, collaborating on HD mapping improvements, and ensuring safety in software design and implementation.

As a Senior Data Scientist, you will provide technical mentorship, build models to quantify impact on the platform, develop experimentation techniques, and create features to identify customer issues. The role focuses on navigating tradeoffs to drive business value across the organization.

As a Machine Learning Customer Success Engineer at Voxel51, you'll work directly with users to help them implement ML workflows using FiftyOne. You'll contribute to the product roadmap, deliver training sessions, and engage with the user community. This fully-remote role requires professional ML and customer-facing experience, along with proficiency in Python and ML libraries.