Top Senior Level Machine Learning Jobs in Birmingham, AL

The Senior Applied AI Engineer will build and integrate LLMs into Zapier's software products, enhance performance and reliability, and collaborate with cross-functional teams to optimize AI features, focusing on user experience and scalability.

The Staff Machine Learning Engineer will design, build, and deploy machine learning models to enhance Vetcove's platform, improving operational efficiency for veterinary practices. Responsibilities include developing APIs, integrating models, and mentoring team members.

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.

The Staff Data Scientist will build and manage machine learning models to optimize personalization, inventory, and logistics while leading the ML function and collaborating cross-functionally.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

Design and develop scalable search ranking algorithms, collaborate with data scientists, implement ML models, and improve user matching experience.

Design and implement ML-driven solutions for user engagement and content discovery. Collaborate across teams to enhance product features using advanced machine learning models.

Lead the Safety ML team at Discord, developing AI/ML infrastructure, collaborating on safety challenges, and mentoring engineers while driving technical strategy and innovation.

Oversee model development and management focusing on fraud and risk. Collaborate cross-functionally to enhance client product performance through data analysis and model governance.

The AI Developer will enhance product offerings through AI and ML tech, support product teams, and maintain infrastructure for data-driven applications.

The Sr. Staff Machine Learning Engineer will lead architecture and development of ML systems, enhance patient interactions, optimize treatment recommendations, and mentor engineers.