Top Machine Learning Jobs in Baltimore, MD

The Solutions Architect for Workday design AI-ready solutions for HR systems, implement complex integrations, and partner with cross-functional teams to enhance employee experience and operational excellence.

The Senior Product Manager will lead the pricing and valuation engine, overseeing ML modeling, pricing systems, and improving valuation accuracy while managing cross-functional roadmaps and execution.

Lead the development of AI-powered tools and products, manage product roadmaps, collaborate cross-functionally, and drive innovation in media and advertising.

As a Senior Machine Learning Engineer on the Perception Team, you will define technology direction, architect solutions for autonomous vehicles, collaborate with team members, and mentor junior engineers, contributing to high-stakes projects in autonomous driving.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Senior Software Engineer will develop and enhance software systems, focusing on data pipelines, machine learning analytics, and cloud services using Python and AWS.

The Data Scientist will analyze and model data related to ad-tier members, focusing on identity modeling and improving ad targeting capabilities, while collaborating with cross-functional teams.

The ML Engineer will work on RL frameworks, develop synthetic data engines, and maintain performance evaluations for a closed-loop drug discovery platform.

Develop and deploy AI tools for the federal government, focusing on software engineering solutions, data quality automation, and team mentorship.

The AI and ML Engineer will develop and maintain AI/ML models, collaborate with teams to deliver solutions for national security, and apply algorithms.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

Lead the strategic direction of data science at Mission Lane, innovating machine learning applications and managing a high-performing team to enhance financial outcomes.

The Systems Engineer will support a U.S. Government customer, providing technical expertise in sustaining mission-related software and systems, focusing on cloud architecture and AI/ML system design.

Develop and deploy AI-driven text-to-speech solutions, ensuring production reliability and optimizing performance, collaborating with engineers and researchers.

As a Software Engineer at Speechify, you will work with machine learning teams to enhance AI Voice functionalities, manage deployments, and improve model efficiency.

The Senior Director of AI Solutions will lead the strategy and execution for AI and ML applications across Chainguard's go-to-market organization, focusing on revenue growth and operational efficiency through innovative AI solutions.

Lead technical design and implementation of AI solutions, integrating AI into GTM workflows and ensuring compliance with standards, while collaborating with various teams.

This role leads the ML Acceleration team, focusing on enhancing ML model training efficiency and team management, while driving technical strategy and collaboration.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Business Development Senior Director will lead commercial efforts, build relationships with biopharma partners, and manage the full sales cycle for high-value deals.

As an AI Tutor - Python, you'll review AI-generated Python code, write solutions, and provide explanations to enhance AI model training.

The Senior Vice President of Underwriting will oversee underwriting outcomes across multiple lines, driving growth and improving loss ratios through data-driven strategies and leadership.

The Pre-Sales Solutions Engineer will advise customers on AI solutions, collaborate with sales to drive revenue, and deliver technical demonstrations to address complex challenges in the insurance industry.

Develop and integrate AI/ML solutions, manage Terraform and AWS, and write performance-oriented applications in C++, Python, and Golang.