Top Machine Learning Jobs in Atlanta, GA

Lead machine learning systems for safety and moderation at Reddit, overseeing a team while driving innovation in abuse detection and prevention.

As a Principal Technical Program Manager, you will engage with partners, own the OpenSync roadmap, and manage product activities from definition to release, ensuring alignment with customer needs and market demands.

The role includes developing B2B marketing strategies, collaborating with sales, creating targeted materials, and conducting market research to support growth.

As Government Affairs Manager, you'll drive advocacy strategy, engage with policymakers, and align internal teams on public policy issues affecting identity and technology.

As a Staff Applied Scientist, you will develop AI models and prototypes, collaborate with teams, and design experiments to drive scalable solutions in the legal domain.

Support and integrate perception algorithms in self-driving vehicles, ensuring code quality and solving integration challenges across multiple sensor modalities and deep learning models.

Lead the machine learning engineering team, overseeing the development and deployment of ML systems, collaborating with various teams for alignment on ML use cases, and ensuring operational excellence.

As a Digital Product Manager, you'll define, deliver, and manage machine learning powered products, driving their lifecycle and ensuring alignment with customer needs and strategic goals.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

As a Staff Product Manager, you will enhance expert product experiences, driving technology solutions and AI integration to improve customer interactions and satisfaction while collaborating with various stakeholders.

Design, build, and improve ML and generative AI solutions for healthcare. Collaborate across teams, lead AI initiatives, and mentor junior members.

The Program Manager will oversee a large-scale social impact program, managing project timelines, deliverables, and collaborations with internal and external partners to drive impact and operational excellence.

Lead the strategic adoption of AI and emerging technologies, define AI roadmaps, guide implementations, and foster cross-functional collaboration to drive innovation initiatives.

The Senior AI Engineer will build a platform enabling users to create intelligent agents, focusing on multi-agent frameworks and orchestration of LLMs.

Lead pre-sales technical engagements for Conversational and Generative AI solutions, collaborate across teams, and design value-driven demos for enterprise customers.

Lead a small engineering team in developing and deploying core product functionality, ensuring high quality and security standards. Collaborate with cross-functional partners while managing and scaling the team effectively.

The Senior Manager, Solutions Architect designs cloud contact center solutions integrating Amazon Connect and Local Measure, leads technical pre-sales engagements, and collaborates with sales teams to propose solutions.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

The Principal Partner Marketing Manager will lead strategic co-marketing initiatives, develop joint marketing plans, execute integrated campaigns, enable field teams, and collaborate cross-functionally to drive awareness, demand, and revenue growth through partnership with Microsoft.

Lead the Attack Detection team at Abnormal AI, focusing on developing high-recall machine learning detection engines and automating model retraining pipelines.

The Staff Machine Learning Engineer will architect and implement advanced ML solutions, lead ML applications in Messaging and Notification, and mentor engineers within Airbnb's AI innovations.

Responsible for training and deploying ML models for scene understanding, behavior prediction, and planning in autonomous vehicles. Collaborate on designing and analyzing experiments, maintaining evaluation code, and improving model performance.

The engineer will train, evaluate, and deploy ML models for understanding driving environments, focusing on motion prediction and planning for autonomous vehicles.

As a Principal Engineer on the Behaviors team, you will guide the technology direction, lead complex initiatives, and mentor engineers to enhance autonomous vehicle capabilities through ML solutions.

The Senior Product Manager will lead AI integration into products, collaborating cross-functionally to enhance user experiences, driving innovation and measurable impact for financial advisors.